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• TracDataApiGrpc.java

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org.finos.tracdap.api.TracDataApiGrpc Maven / Gradle / Ivy

package org.finos.tracdap.api;

import static io.grpc.MethodDescriptor.generateFullMethodName;

/**
 * 
 **
 * Public API for creating, updating, reading and querying primary data stored in the TRAC platform.
 * The TRAC data API provides a standard mechanism for client applications to store and access data
 * in the TRAC platform. Calls are translated into the underlying storage mechanisms, using push-down
 * operations where possible for efficient queries on large datasets.
 * The data API includes format translation, so data can be uploaded and retrieved in any supported
 * format. The back-end storage format is controlled by the platform. For example if a user uploads
 * a CSV file TRAC will convert it to the default storage format (by default Arrow IPC file format).
 * Later a web application might ask for that data in JSON format and TRAC would again perform the
 * conversion. The platform uses Apache Arrow as an intermediate representation that other formats
 * are converted from and to.
 * The data API uses streaming operations to support transfer of large datasets and can be used for
 * both user-facing client applications and system-to-system integration. For regular, high-volume
 * data transfers there are other options for integration, including data import jobs and direct
 * back-end integration of the underlying storage technologies. These options can be faster and
 * reduce storage requirements, at the expense of tighter coupling between systems. A compromise is
 * to use direct integration and import jobs for a small number of critical feeds containing a
 * high volume of data, and use the data API for client access and for integration of secondary
 * and/or low-volume systems.
 * 
 */
@javax.annotation.Generated(
    value = "by gRPC proto compiler (version 1.68.0)",
    comments = "Source: tracdap/api/data.proto")
@io.grpc.stub.annotations.GrpcGenerated
public final class TracDataApiGrpc {

  private TracDataApiGrpc() {}

  public static final java.lang.String SERVICE_NAME = "tracdap.api.TracDataApi";

  // Static method descriptors that strictly reflect the proto.
  private static volatile io.grpc.MethodDescriptor getCreateDatasetMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "createDataset",
      requestType = org.finos.tracdap.api.DataWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
  public static io.grpc.MethodDescriptor getCreateDatasetMethod() {
    io.grpc.MethodDescriptor getCreateDatasetMethod;
    if ((getCreateDatasetMethod = TracDataApiGrpc.getCreateDatasetMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getCreateDatasetMethod = TracDataApiGrpc.getCreateDatasetMethod) == null) {
          TracDataApiGrpc.getCreateDatasetMethod = getCreateDatasetMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "createDataset"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("createDataset"))
              .build();
        }
      }
    }
    return getCreateDatasetMethod;
  }

  private static volatile io.grpc.MethodDescriptor getCreateSmallDatasetMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "createSmallDataset",
      requestType = org.finos.tracdap.api.DataWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor getCreateSmallDatasetMethod() {
    io.grpc.MethodDescriptor getCreateSmallDatasetMethod;
    if ((getCreateSmallDatasetMethod = TracDataApiGrpc.getCreateSmallDatasetMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getCreateSmallDatasetMethod = TracDataApiGrpc.getCreateSmallDatasetMethod) == null) {
          TracDataApiGrpc.getCreateSmallDatasetMethod = getCreateSmallDatasetMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "createSmallDataset"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("createSmallDataset"))
              .build();
        }
      }
    }
    return getCreateSmallDatasetMethod;
  }

  private static volatile io.grpc.MethodDescriptor getUpdateDatasetMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "updateDataset",
      requestType = org.finos.tracdap.api.DataWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
  public static io.grpc.MethodDescriptor getUpdateDatasetMethod() {
    io.grpc.MethodDescriptor getUpdateDatasetMethod;
    if ((getUpdateDatasetMethod = TracDataApiGrpc.getUpdateDatasetMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getUpdateDatasetMethod = TracDataApiGrpc.getUpdateDatasetMethod) == null) {
          TracDataApiGrpc.getUpdateDatasetMethod = getUpdateDatasetMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "updateDataset"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("updateDataset"))
              .build();
        }
      }
    }
    return getUpdateDatasetMethod;
  }

  private static volatile io.grpc.MethodDescriptor getUpdateSmallDatasetMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "updateSmallDataset",
      requestType = org.finos.tracdap.api.DataWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor getUpdateSmallDatasetMethod() {
    io.grpc.MethodDescriptor getUpdateSmallDatasetMethod;
    if ((getUpdateSmallDatasetMethod = TracDataApiGrpc.getUpdateSmallDatasetMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getUpdateSmallDatasetMethod = TracDataApiGrpc.getUpdateSmallDatasetMethod) == null) {
          TracDataApiGrpc.getUpdateSmallDatasetMethod = getUpdateSmallDatasetMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "updateSmallDataset"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("updateSmallDataset"))
              .build();
        }
      }
    }
    return getUpdateSmallDatasetMethod;
  }

  private static volatile io.grpc.MethodDescriptor getReadDatasetMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "readDataset",
      requestType = org.finos.tracdap.api.DataReadRequest.class,
      responseType = org.finos.tracdap.api.DataReadResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
  public static io.grpc.MethodDescriptor getReadDatasetMethod() {
    io.grpc.MethodDescriptor getReadDatasetMethod;
    if ((getReadDatasetMethod = TracDataApiGrpc.getReadDatasetMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getReadDatasetMethod = TracDataApiGrpc.getReadDatasetMethod) == null) {
          TracDataApiGrpc.getReadDatasetMethod = getReadDatasetMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "readDataset"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataReadRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataReadResponse.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("readDataset"))
              .build();
        }
      }
    }
    return getReadDatasetMethod;
  }

  private static volatile io.grpc.MethodDescriptor getReadSmallDatasetMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "readSmallDataset",
      requestType = org.finos.tracdap.api.DataReadRequest.class,
      responseType = org.finos.tracdap.api.DataReadResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor getReadSmallDatasetMethod() {
    io.grpc.MethodDescriptor getReadSmallDatasetMethod;
    if ((getReadSmallDatasetMethod = TracDataApiGrpc.getReadSmallDatasetMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getReadSmallDatasetMethod = TracDataApiGrpc.getReadSmallDatasetMethod) == null) {
          TracDataApiGrpc.getReadSmallDatasetMethod = getReadSmallDatasetMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "readSmallDataset"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataReadRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DataReadResponse.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("readSmallDataset"))
              .build();
        }
      }
    }
    return getReadSmallDatasetMethod;
  }

  private static volatile io.grpc.MethodDescriptor getCreateFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "createFile",
      requestType = org.finos.tracdap.api.FileWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
  public static io.grpc.MethodDescriptor getCreateFileMethod() {
    io.grpc.MethodDescriptor getCreateFileMethod;
    if ((getCreateFileMethod = TracDataApiGrpc.getCreateFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getCreateFileMethod = TracDataApiGrpc.getCreateFileMethod) == null) {
          TracDataApiGrpc.getCreateFileMethod = getCreateFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "createFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("createFile"))
              .build();
        }
      }
    }
    return getCreateFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getCreateSmallFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "createSmallFile",
      requestType = org.finos.tracdap.api.FileWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor getCreateSmallFileMethod() {
    io.grpc.MethodDescriptor getCreateSmallFileMethod;
    if ((getCreateSmallFileMethod = TracDataApiGrpc.getCreateSmallFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getCreateSmallFileMethod = TracDataApiGrpc.getCreateSmallFileMethod) == null) {
          TracDataApiGrpc.getCreateSmallFileMethod = getCreateSmallFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "createSmallFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("createSmallFile"))
              .build();
        }
      }
    }
    return getCreateSmallFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getUpdateFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "updateFile",
      requestType = org.finos.tracdap.api.FileWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
  public static io.grpc.MethodDescriptor getUpdateFileMethod() {
    io.grpc.MethodDescriptor getUpdateFileMethod;
    if ((getUpdateFileMethod = TracDataApiGrpc.getUpdateFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getUpdateFileMethod = TracDataApiGrpc.getUpdateFileMethod) == null) {
          TracDataApiGrpc.getUpdateFileMethod = getUpdateFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.CLIENT_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "updateFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("updateFile"))
              .build();
        }
      }
    }
    return getUpdateFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getUpdateSmallFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "updateSmallFile",
      requestType = org.finos.tracdap.api.FileWriteRequest.class,
      responseType = org.finos.tracdap.metadata.TagHeader.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor getUpdateSmallFileMethod() {
    io.grpc.MethodDescriptor getUpdateSmallFileMethod;
    if ((getUpdateSmallFileMethod = TracDataApiGrpc.getUpdateSmallFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getUpdateSmallFileMethod = TracDataApiGrpc.getUpdateSmallFileMethod) == null) {
          TracDataApiGrpc.getUpdateSmallFileMethod = getUpdateSmallFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "updateSmallFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileWriteRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.metadata.TagHeader.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("updateSmallFile"))
              .build();
        }
      }
    }
    return getUpdateSmallFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getReadFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "readFile",
      requestType = org.finos.tracdap.api.FileReadRequest.class,
      responseType = org.finos.tracdap.api.FileReadResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
  public static io.grpc.MethodDescriptor getReadFileMethod() {
    io.grpc.MethodDescriptor getReadFileMethod;
    if ((getReadFileMethod = TracDataApiGrpc.getReadFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getReadFileMethod = TracDataApiGrpc.getReadFileMethod) == null) {
          TracDataApiGrpc.getReadFileMethod = getReadFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "readFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileReadRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileReadResponse.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("readFile"))
              .build();
        }
      }
    }
    return getReadFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getReadSmallFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "readSmallFile",
      requestType = org.finos.tracdap.api.FileReadRequest.class,
      responseType = org.finos.tracdap.api.FileReadResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor getReadSmallFileMethod() {
    io.grpc.MethodDescriptor getReadSmallFileMethod;
    if ((getReadSmallFileMethod = TracDataApiGrpc.getReadSmallFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getReadSmallFileMethod = TracDataApiGrpc.getReadSmallFileMethod) == null) {
          TracDataApiGrpc.getReadSmallFileMethod = getReadSmallFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "readSmallFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileReadRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.FileReadResponse.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("readSmallFile"))
              .build();
        }
      }
    }
    return getReadSmallFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getDownloadFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "downloadFile",
      requestType = org.finos.tracdap.api.DownloadRequest.class,
      responseType = org.finos.tracdap.api.DownloadResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
  public static io.grpc.MethodDescriptor getDownloadFileMethod() {
    io.grpc.MethodDescriptor getDownloadFileMethod;
    if ((getDownloadFileMethod = TracDataApiGrpc.getDownloadFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getDownloadFileMethod = TracDataApiGrpc.getDownloadFileMethod) == null) {
          TracDataApiGrpc.getDownloadFileMethod = getDownloadFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "downloadFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DownloadRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DownloadResponse.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("downloadFile"))
              .build();
        }
      }
    }
    return getDownloadFileMethod;
  }

  private static volatile io.grpc.MethodDescriptor getDownloadLatestFileMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "downloadLatestFile",
      requestType = org.finos.tracdap.api.DownloadRequest.class,
      responseType = org.finos.tracdap.api.DownloadResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
  public static io.grpc.MethodDescriptor getDownloadLatestFileMethod() {
    io.grpc.MethodDescriptor getDownloadLatestFileMethod;
    if ((getDownloadLatestFileMethod = TracDataApiGrpc.getDownloadLatestFileMethod) == null) {
      synchronized (TracDataApiGrpc.class) {
        if ((getDownloadLatestFileMethod = TracDataApiGrpc.getDownloadLatestFileMethod) == null) {
          TracDataApiGrpc.getDownloadLatestFileMethod = getDownloadLatestFileMethod =
              io.grpc.MethodDescriptor.newBuilder()
              .setType(io.grpc.MethodDescriptor.MethodType.SERVER_STREAMING)
              .setFullMethodName(generateFullMethodName(SERVICE_NAME, "downloadLatestFile"))
              .setSampledToLocalTracing(true)
              .setRequestMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DownloadRequest.getDefaultInstance()))
              .setResponseMarshaller(io.grpc.protobuf.ProtoUtils.marshaller(
                  org.finos.tracdap.api.DownloadResponse.getDefaultInstance()))
              .setSchemaDescriptor(new TracDataApiMethodDescriptorSupplier("downloadLatestFile"))
              .build();
        }
      }
    }
    return getDownloadLatestFileMethod;
  }

  /**
   * Creates a new async stub that supports all call types for the service
   */
  public static TracDataApiStub newStub(io.grpc.Channel channel) {
    io.grpc.stub.AbstractStub.StubFactory factory =
      new io.grpc.stub.AbstractStub.StubFactory() {
        @java.lang.Override
        public TracDataApiStub newStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
          return new TracDataApiStub(channel, callOptions);
        }
      };
    return TracDataApiStub.newStub(factory, channel);
  }

  /**
   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
   */
  public static TracDataApiBlockingStub newBlockingStub(
      io.grpc.Channel channel) {
    io.grpc.stub.AbstractStub.StubFactory factory =
      new io.grpc.stub.AbstractStub.StubFactory() {
        @java.lang.Override
        public TracDataApiBlockingStub newStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
          return new TracDataApiBlockingStub(channel, callOptions);
        }
      };
    return TracDataApiBlockingStub.newStub(factory, channel);
  }

  /**
   * Creates a new ListenableFuture-style stub that supports unary calls on the service
   */
  public static TracDataApiFutureStub newFutureStub(
      io.grpc.Channel channel) {
    io.grpc.stub.AbstractStub.StubFactory factory =
      new io.grpc.stub.AbstractStub.StubFactory() {
        @java.lang.Override
        public TracDataApiFutureStub newStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
          return new TracDataApiFutureStub(channel, callOptions);
        }
      };
    return TracDataApiFutureStub.newStub(factory, channel);
  }

  /**
   * 
   **
   * Public API for creating, updating, reading and querying primary data stored in the TRAC platform.
   * The TRAC data API provides a standard mechanism for client applications to store and access data
   * in the TRAC platform. Calls are translated into the underlying storage mechanisms, using push-down
   * operations where possible for efficient queries on large datasets.
   * The data API includes format translation, so data can be uploaded and retrieved in any supported
   * format. The back-end storage format is controlled by the platform. For example if a user uploads
   * a CSV file TRAC will convert it to the default storage format (by default Arrow IPC file format).
   * Later a web application might ask for that data in JSON format and TRAC would again perform the
   * conversion. The platform uses Apache Arrow as an intermediate representation that other formats
   * are converted from and to.
   * The data API uses streaming operations to support transfer of large datasets and can be used for
   * both user-facing client applications and system-to-system integration. For regular, high-volume
   * data transfers there are other options for integration, including data import jobs and direct
   * back-end integration of the underlying storage technologies. These options can be faster and
   * reduce storage requirements, at the expense of tighter coupling between systems. A compromise is
   * to use direct integration and import jobs for a small number of critical feeds containing a
   * high volume of data, and use the data API for client access and for integration of secondary
   * and/or low-volume systems.
   * 
   */
  public interface AsyncService {

    /**
     * 
     **
     * Create a new dataset, supplying the schema and content as a data stream
     * This method creates a new dataset and a corresponding DATA object
     * in the TRAC metadata store. Once a dataset is created it can be used as an
     * input into a model run, it can also be read and queried using the data API.
     * Data can be supplied in any format supported by the platform.
     * *Although large datasets can be uploaded using this call, data import jobs
     * are normally used to bring in large volumes of data from external systems.*
     * The request must specify a schema for the dataset, incoming data will be
     * verified against the schema. Schemas can be specified using either:
     *    * A full schema definition - if a full schema is supplied, it will be embedded
     *      with the dataset and used for this dataset only
     *    * A schema ID - a tag selector for an existing SCHEMA object, which may be
     *      shared by multiple datasets
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. TRAC will apply format conversion before the data is
     * processed and stored.
     * Tag updates can be supplied to tag the newly created dataset, they behave exactly
     * the same as tag updates in the createObject() call of TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and metadata, including a schema specifier.
     * After the first message all metadata fields should be omitted. Subsequent messages
     * should contain the content of the dataset as a series of chunks, encoded as per
     * the "format" field of the first message. Clients may choose whether or not to
     * include a chunk of data in the first message and empty (i.e. zero-length) chunks
     * are permitted at any point in the stream.
     * This method returns the header of the newly created DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), format not supported, data does not match schema, corrupt or invalid
     * data stream. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology. In the event of an error, TRAC will do its
     * best to clean up any partially-written data in the storage layer.
     * 
     */
    default io.grpc.stub.StreamObserver createDataset(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ServerCalls.asyncUnimplementedStreamingCall(getCreateDatasetMethod(), responseObserver);
    }

    /**
     * 
     **
     * Create a new dataset, supplying the schema and content as a single blob
     * This method creates a new dataset and a corresponding DATA object
     * in the TRAC metadata store. Once a dataset is created it can be used as an
     * input into a model run, it can also be read and queried using the data API.
     * Data can be supplied in any format supported by the platform.
     * The request must specify a schema for the dataset, incoming data will be
     * verified against the schema. Schemas can be specified using either:
     *    * A full schema definition - if a full schema is supplied, it will be embedded
     *      with the dataset and used for this dataset only
     *    * A schema ID - a tag selector for an existing SCHEMA object, which may be
     *      shared by multiple datasets
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. TRAC will apply format conversion before the data is
     * processed and stored.
     * Tag updates can be supplied to tag the newly created dataset, they behave exactly
     * the same as tag updates in the createObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the newly created DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), format not supported, data does not match schema, corrupt or invalid
     * data stream. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology. In the event of an error, TRAC will do its
     * best to clean up any partially-written data in the storage layer.
     * 
     */
    default void createSmallDataset(org.finos.tracdap.api.DataWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getCreateSmallDatasetMethod(), responseObserver);
    }

    /**
     * 
     **
     * Update an existing dataset, supplying the schema and content as a data stream
     * This method updates an existing dataset and the corresponding DATA object
     * in the TRAC metadata store. As per the TRAC immutability guarantee, the original
     * version of the dataset is not altered. After an update, both the original version
     * and the new version are available to use as inputs into a model runs and to read
     * and query using the data API. Data can be supplied in any format supported by the
     * platform.
     * *Although large datasets can be uploaded using this call, data import jobs
     * are normally used to bring in large volumes of data from external systems.*
     * To update a dataset, the priorVersion field must indicate the dataset being updated.
     * Only the latest version of a dataset can be updated.
     * The request must specify a schema for the new version of the dataset, incoming data
     * will be verified against the schema. The new schema must be compatible with the schema
     * of the previous version. Schemas can be specified using either:
     *    * A full schema definition - Datasets created using an embedded schema must supply
     *      a full schema for all subsequent versions and each schema version must be compatible
     *      with the version before. Fields may be added, but not removed or altered.
     *    * A schema ID - Datasets created using an external schema must use the same external
     *      schema ID for all subsequent versions. It is permitted for later versions of a
     *      dataset to use later versions of the external schema, but not earlier versions.
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. It is not necessary for different versions of the same dataset
     * to be uploaded using the same format. TRAC will apply format conversion before the
     * data is processed and stored.
     * Tag updates can be supplied to tag the new version of the dataset, they behave exactly
     * the same as tag updates in the updateObject() call of TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and metadata, including a schema specifier.
     * After the first message all metadata fields should be omitted. Subsequent messages
     * should contain the content of the dataset as a series of chunks, encoded as per
     * the "format" field of the first message. Clients may choose whether or not to
     * include a chunk of data in the first message and empty (i.e. zero-length) chunks
     * are permitted at any point in the stream.
     * This method returns the header of the version of the DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), schema version not compatible, format not supported, data does not match
     * schema, corrupt or invalid data stream. Storage errors may also be reported if there is
     * a problem communicating with the underlying storage technology. In the event of an error,
     * TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    default io.grpc.stub.StreamObserver updateDataset(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ServerCalls.asyncUnimplementedStreamingCall(getUpdateDatasetMethod(), responseObserver);
    }

    /**
     * 
     **
     * Update an existing dataset, supplying the schema and content as a single blob
     * This method updates an existing dataset and the corresponding DATA object
     * in the TRAC metadata store. As per the TRAC immutability guarantee, the original
     * version of the dataset is not altered. After an update, both the original version
     * and the new version are available to use as inputs into a model runs and to read
     * and query using the data API. Data can be supplied in any format supported by the
     * platform.
     * To update a dataset, the priorVersion field must indicate the dataset being updated.
     * Only the latest version of a dataset can be updated.
     * The request must specify a schema for the new version of the dataset, incoming data
     * will be verified against the schema. The new schema must be compatible with the schema
     * of the previous version. Schemas can be specified using either:
     *    * A full schema definition - Datasets created using an embedded schema must supply
     *      a full schema for all subsequent versions and each schema version must be compatible
     *      with the version before. Fields may be added, but not removed or altered.
     *    * A schema ID - Datasets created using an external schema must use the same external
     *      schema ID for all subsequent versions. It is permitted for later versions of a
     *      dataset to use later versions of the external schema, but not earlier versions.
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. It is not necessary for different versions of the same dataset
     * to be uploaded using the same format. TRAC will apply format conversion before the
     * data is processed and stored.
     * Tag updates can be supplied to tag the new version of the dataset, they behave exactly
     * the same as tag updates in the updateObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the version of the DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), schema version not compatible, format not supported, data does not match
     * schema, corrupt or invalid data stream. Storage errors may also be reported if there is
     * a problem communicating with the underlying storage technology. In the event of an error,
     * TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    default void updateSmallDataset(org.finos.tracdap.api.DataWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getUpdateSmallDatasetMethod(), responseObserver);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a data stream
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a server streaming method. The first message in the response stream will
     * contain a schema definition for the dataset (this may come from an embedded schema
     * or an external schema object). The second and subsequent messages will deliver the
     * content of the dataset in the requested format. TRAC guarantees that the first message
     * will always contain an empty chunk of content, which can be safely ignored.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    default void readDataset(org.finos.tracdap.api.DataReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getReadDatasetMethod(), responseObserver);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a single blob
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a unary call, both the schema and the content of the dataset are returned
     * in a single response message. The content of the dataset will be encoded in the
     * requested format. Errors may occur if the content of the dataset is too large to
     * fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    default void readSmallDataset(org.finos.tracdap.api.DataReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getReadSmallDatasetMethod(), responseObserver);
    }

    /**
     * 
     **
     * Upload a new file into TRAC, sending the content as a data stream
     * Calling this method will create a new FILE object in the metadata store.
     * Tag updates can be supplied when creating a FILE, they will be passed on to the
     * metadata service. The semantics for tag updates are identical to the createObject()
     * method in TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and required metadata. The second and subsequent
     * messages should contain the content of the file as a series of chunks (byte buffers).
     * (other fields that are set after the first message will be ignored).
     * Empty chunks can be included at any point in the stream and will be ignored.
     * Clients may choose to include the first chunk in the first message along with the
     * request metadata, or to put an empty chunk in the first message and start streaming
     * content in the second message. For very small files, it is possible to put the entire
     * content in one chunk in the first message, so there is only a single message in the stream.
     * All of these approaches are supported.
     * Clients may specify the size of the file being created. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The method returns the header of the newly created FILE object. Error conditions
     * include: Invalid request, unknown tenant and validation failure and data loss
     * (if the number of bytes stored does not match the number specified in the request).
     * Storage errors may also be reported if there is a problem communicating with the
     * underlying storage technology. In the event of an error, TRAC will do its best to
     * clean up any partially-written data in the storage layer.
     * 
     */
    default io.grpc.stub.StreamObserver createFile(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ServerCalls.asyncUnimplementedStreamingCall(getCreateFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Upload a new file into TRAC, sending the content as a single blob
     * Calling this method will create a new FILE object in the metadata store.
     * Tag updates can be supplied when creating a FILE, they will be passed on to the
     * metadata service. The semantics for tag updates are identical to the createObject()
     * method in TracMetadataApi.
     * This is a unary method. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being created. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The method returns the header of the newly created FILE object. Error conditions
     * include: Invalid request, unknown tenant and validation failure, file too large and
     * data loss (if the number of bytes stored does not match the number specified in the
     * request). Storage errors may also be reported if there is a problem communicating with
     * the underlying storage technology. In the event of an error, TRAC will do its best to
     * clean up any partially-written data in the storage layer.
     * 
     */
    default void createSmallFile(org.finos.tracdap.api.FileWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getCreateSmallFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Upload a new version of an existing file into TRAC, sending the content as a data stream
     * Calling this method will update the relevant FILE object in the metadata store.
     * The latest version of the FILE must be supplied in the priorVersion field
     * of the request. For example if the latest version of a FILE object is version 2,
     * the priorVersion field should refer to version 2 and TRAC will create version 3
     * as a result of the update call. The metadata and content of prior versions
     * remain unaltered. The file name may be changed between versions, but the extension
     * and mime type must stay the same. Tag updates can be supplied when updating a FILE,
     * they will be passed on to the metadata service> The semantics for tag updates are
     * identical to the updateObject() method in TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and required metadata. The second and subsequent
     * messages should contain the content of the file as a series of byte buffers.
     * (other fields that are set after the first message will be ignored).
     * Empty chunks can be included at any point in the stream and will be ignored.
     * Clients may choose to include the first chunk in the first message along with the
     * request metadata, or to put an empty chunk in the first message and start streaming
     * content in the second message. For very small files, it is possible to put the entire
     * content in one chunk in the first message, so there is only a single message in the stream.
     * All of these approaches are supported.
     * Clients may specify the size of the file being updated. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The call returns the header for the new version of the FILE object. Error conditions
     * include: Invalid request, unknown tenant, validation failure, failed preconditions
     * (e.g. extension and mime type changes) and data loss (if the number of bytes stored
     * does not match the number specified in the request). Storage errors may also be reported
     * if there is a problem communicating with the underlying storage technology. In the event
     * of an error, TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    default io.grpc.stub.StreamObserver updateFile(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ServerCalls.asyncUnimplementedStreamingCall(getUpdateFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Upload a new version of an existing file into TRAC, sending the content as a single blob
     * Calling this method will update the relevant FILE object in the metadata store.
     * The latest version of the FILE must be supplied in the priorVersion field
     * of the request. For example if the latest version of a FILE object is version 2,
     * the priorVersion field should refer to version 2 and TRAC will create version 3
     * as a result of the update call. The metadata and content of prior versions
     * remain unaltered. The file name may be changed between versions, but the extension
     * and mime type must stay the same. Tag updates can be supplied when updating a FILE,
     * they will be passed on to the metadata service> The semantics for tag updates are
     * identical to the updateObject() method in TracMetadataApi.
     * This is a unary call. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being updated. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The call returns the header for the new version of the FILE object. Error conditions
     * include: Invalid request, unknown tenant, validation failure, failed preconditions
     * (e.g. extension and mime type changes) file too large and data loss (if the number of
     * bytes stored does not match the number specified in the request). Storage errors may also
     * be reported if there is a problem communicating with the underlying storage technology.
     * In the event of an error, TRAC will do its best to clean up any partially-written data in
     * the storage layer.
     * 
     */
    default void updateSmallFile(org.finos.tracdap.api.FileWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getUpdateSmallFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a data stream
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a server streaming method. The first message in the response stream will
     * contain the response metadata (i.e. the file definition). The second
     * and subsequent messages will deliver the content of the file as a stream of chunks
     * (byte buffers). Empty chunks may be included at any point in the stream and
     * should be ignored. In particular, TRAC guarantees that the chunk in the first
     * message will always be an empty chunk. Clients are free to ignore this chunk,
     * for example if they have a separate function for processing the first message in
     * the response stream. Alternatively clients may process the empty chunk in the firs
     * message in the same way as any other chunk. Both approaches are supported.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version.
     * Storage errors may also be reported if there is a problem communicating with the
     * underlying storage technology.
     * 
     */
    default void readFile(org.finos.tracdap.api.FileReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getReadFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a single blob
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a unary method, the response will contain the file definition and the
     * whole content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version,
     * file too large. Storage errors may also be reported if there is a problem
     * communicating with the underlying storage technology.
     * 
     */
    default void readSmallFile(org.finos.tracdap.api.FileReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getReadSmallFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Download a file as a data stream
     * This method is intended for use by browsers and other HTTP clients
     * to download a file using an HTTP GET request.
     * 
     */
    default void downloadFile(org.finos.tracdap.api.DownloadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getDownloadFileMethod(), responseObserver);
    }

    /**
     * 
     **
     * Download the latest version of a file as a data stream
     * This method is intended for use by browsers and other HTTP clients
     * to download a file using an HTTP GET request.
     * 
     */
    default void downloadLatestFile(org.finos.tracdap.api.DownloadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(getDownloadLatestFileMethod(), responseObserver);
    }
  }

  /**
   * Base class for the server implementation of the service TracDataApi.
   * 
   **
   * Public API for creating, updating, reading and querying primary data stored in the TRAC platform.
   * The TRAC data API provides a standard mechanism for client applications to store and access data
   * in the TRAC platform. Calls are translated into the underlying storage mechanisms, using push-down
   * operations where possible for efficient queries on large datasets.
   * The data API includes format translation, so data can be uploaded and retrieved in any supported
   * format. The back-end storage format is controlled by the platform. For example if a user uploads
   * a CSV file TRAC will convert it to the default storage format (by default Arrow IPC file format).
   * Later a web application might ask for that data in JSON format and TRAC would again perform the
   * conversion. The platform uses Apache Arrow as an intermediate representation that other formats
   * are converted from and to.
   * The data API uses streaming operations to support transfer of large datasets and can be used for
   * both user-facing client applications and system-to-system integration. For regular, high-volume
   * data transfers there are other options for integration, including data import jobs and direct
   * back-end integration of the underlying storage technologies. These options can be faster and
   * reduce storage requirements, at the expense of tighter coupling between systems. A compromise is
   * to use direct integration and import jobs for a small number of critical feeds containing a
   * high volume of data, and use the data API for client access and for integration of secondary
   * and/or low-volume systems.
   * 
   */
  public static abstract class TracDataApiImplBase
      implements io.grpc.BindableService, AsyncService {

    @java.lang.Override public final io.grpc.ServerServiceDefinition bindService() {
      return TracDataApiGrpc.bindService(this);
    }
  }

  /**
   * A stub to allow clients to do asynchronous rpc calls to service TracDataApi.
   * 
   **
   * Public API for creating, updating, reading and querying primary data stored in the TRAC platform.
   * The TRAC data API provides a standard mechanism for client applications to store and access data
   * in the TRAC platform. Calls are translated into the underlying storage mechanisms, using push-down
   * operations where possible for efficient queries on large datasets.
   * The data API includes format translation, so data can be uploaded and retrieved in any supported
   * format. The back-end storage format is controlled by the platform. For example if a user uploads
   * a CSV file TRAC will convert it to the default storage format (by default Arrow IPC file format).
   * Later a web application might ask for that data in JSON format and TRAC would again perform the
   * conversion. The platform uses Apache Arrow as an intermediate representation that other formats
   * are converted from and to.
   * The data API uses streaming operations to support transfer of large datasets and can be used for
   * both user-facing client applications and system-to-system integration. For regular, high-volume
   * data transfers there are other options for integration, including data import jobs and direct
   * back-end integration of the underlying storage technologies. These options can be faster and
   * reduce storage requirements, at the expense of tighter coupling between systems. A compromise is
   * to use direct integration and import jobs for a small number of critical feeds containing a
   * high volume of data, and use the data API for client access and for integration of secondary
   * and/or low-volume systems.
   * 
   */
  public static final class TracDataApiStub
      extends io.grpc.stub.AbstractAsyncStub {
    private TracDataApiStub(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      super(channel, callOptions);
    }

    @java.lang.Override
    protected TracDataApiStub build(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      return new TracDataApiStub(channel, callOptions);
    }

    /**
     * 
     **
     * Create a new dataset, supplying the schema and content as a data stream
     * This method creates a new dataset and a corresponding DATA object
     * in the TRAC metadata store. Once a dataset is created it can be used as an
     * input into a model run, it can also be read and queried using the data API.
     * Data can be supplied in any format supported by the platform.
     * *Although large datasets can be uploaded using this call, data import jobs
     * are normally used to bring in large volumes of data from external systems.*
     * The request must specify a schema for the dataset, incoming data will be
     * verified against the schema. Schemas can be specified using either:
     *    * A full schema definition - if a full schema is supplied, it will be embedded
     *      with the dataset and used for this dataset only
     *    * A schema ID - a tag selector for an existing SCHEMA object, which may be
     *      shared by multiple datasets
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. TRAC will apply format conversion before the data is
     * processed and stored.
     * Tag updates can be supplied to tag the newly created dataset, they behave exactly
     * the same as tag updates in the createObject() call of TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and metadata, including a schema specifier.
     * After the first message all metadata fields should be omitted. Subsequent messages
     * should contain the content of the dataset as a series of chunks, encoded as per
     * the "format" field of the first message. Clients may choose whether or not to
     * include a chunk of data in the first message and empty (i.e. zero-length) chunks
     * are permitted at any point in the stream.
     * This method returns the header of the newly created DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), format not supported, data does not match schema, corrupt or invalid
     * data stream. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology. In the event of an error, TRAC will do its
     * best to clean up any partially-written data in the storage layer.
     * 
     */
    public io.grpc.stub.StreamObserver createDataset(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ClientCalls.asyncClientStreamingCall(
          getChannel().newCall(getCreateDatasetMethod(), getCallOptions()), responseObserver);
    }

    /**
     * 
     **
     * Create a new dataset, supplying the schema and content as a single blob
     * This method creates a new dataset and a corresponding DATA object
     * in the TRAC metadata store. Once a dataset is created it can be used as an
     * input into a model run, it can also be read and queried using the data API.
     * Data can be supplied in any format supported by the platform.
     * The request must specify a schema for the dataset, incoming data will be
     * verified against the schema. Schemas can be specified using either:
     *    * A full schema definition - if a full schema is supplied, it will be embedded
     *      with the dataset and used for this dataset only
     *    * A schema ID - a tag selector for an existing SCHEMA object, which may be
     *      shared by multiple datasets
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. TRAC will apply format conversion before the data is
     * processed and stored.
     * Tag updates can be supplied to tag the newly created dataset, they behave exactly
     * the same as tag updates in the createObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the newly created DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), format not supported, data does not match schema, corrupt or invalid
     * data stream. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology. In the event of an error, TRAC will do its
     * best to clean up any partially-written data in the storage layer.
     * 
     */
    public void createSmallDataset(org.finos.tracdap.api.DataWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getCreateSmallDatasetMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Update an existing dataset, supplying the schema and content as a data stream
     * This method updates an existing dataset and the corresponding DATA object
     * in the TRAC metadata store. As per the TRAC immutability guarantee, the original
     * version of the dataset is not altered. After an update, both the original version
     * and the new version are available to use as inputs into a model runs and to read
     * and query using the data API. Data can be supplied in any format supported by the
     * platform.
     * *Although large datasets can be uploaded using this call, data import jobs
     * are normally used to bring in large volumes of data from external systems.*
     * To update a dataset, the priorVersion field must indicate the dataset being updated.
     * Only the latest version of a dataset can be updated.
     * The request must specify a schema for the new version of the dataset, incoming data
     * will be verified against the schema. The new schema must be compatible with the schema
     * of the previous version. Schemas can be specified using either:
     *    * A full schema definition - Datasets created using an embedded schema must supply
     *      a full schema for all subsequent versions and each schema version must be compatible
     *      with the version before. Fields may be added, but not removed or altered.
     *    * A schema ID - Datasets created using an external schema must use the same external
     *      schema ID for all subsequent versions. It is permitted for later versions of a
     *      dataset to use later versions of the external schema, but not earlier versions.
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. It is not necessary for different versions of the same dataset
     * to be uploaded using the same format. TRAC will apply format conversion before the
     * data is processed and stored.
     * Tag updates can be supplied to tag the new version of the dataset, they behave exactly
     * the same as tag updates in the updateObject() call of TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and metadata, including a schema specifier.
     * After the first message all metadata fields should be omitted. Subsequent messages
     * should contain the content of the dataset as a series of chunks, encoded as per
     * the "format" field of the first message. Clients may choose whether or not to
     * include a chunk of data in the first message and empty (i.e. zero-length) chunks
     * are permitted at any point in the stream.
     * This method returns the header of the version of the DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), schema version not compatible, format not supported, data does not match
     * schema, corrupt or invalid data stream. Storage errors may also be reported if there is
     * a problem communicating with the underlying storage technology. In the event of an error,
     * TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    public io.grpc.stub.StreamObserver updateDataset(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ClientCalls.asyncClientStreamingCall(
          getChannel().newCall(getUpdateDatasetMethod(), getCallOptions()), responseObserver);
    }

    /**
     * 
     **
     * Update an existing dataset, supplying the schema and content as a single blob
     * This method updates an existing dataset and the corresponding DATA object
     * in the TRAC metadata store. As per the TRAC immutability guarantee, the original
     * version of the dataset is not altered. After an update, both the original version
     * and the new version are available to use as inputs into a model runs and to read
     * and query using the data API. Data can be supplied in any format supported by the
     * platform.
     * To update a dataset, the priorVersion field must indicate the dataset being updated.
     * Only the latest version of a dataset can be updated.
     * The request must specify a schema for the new version of the dataset, incoming data
     * will be verified against the schema. The new schema must be compatible with the schema
     * of the previous version. Schemas can be specified using either:
     *    * A full schema definition - Datasets created using an embedded schema must supply
     *      a full schema for all subsequent versions and each schema version must be compatible
     *      with the version before. Fields may be added, but not removed or altered.
     *    * A schema ID - Datasets created using an external schema must use the same external
     *      schema ID for all subsequent versions. It is permitted for later versions of a
     *      dataset to use later versions of the external schema, but not earlier versions.
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. It is not necessary for different versions of the same dataset
     * to be uploaded using the same format. TRAC will apply format conversion before the
     * data is processed and stored.
     * Tag updates can be supplied to tag the new version of the dataset, they behave exactly
     * the same as tag updates in the updateObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the version of the DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), schema version not compatible, format not supported, data does not match
     * schema, corrupt or invalid data stream. Storage errors may also be reported if there is
     * a problem communicating with the underlying storage technology. In the event of an error,
     * TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    public void updateSmallDataset(org.finos.tracdap.api.DataWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getUpdateSmallDatasetMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a data stream
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a server streaming method. The first message in the response stream will
     * contain a schema definition for the dataset (this may come from an embedded schema
     * or an external schema object). The second and subsequent messages will deliver the
     * content of the dataset in the requested format. TRAC guarantees that the first message
     * will always contain an empty chunk of content, which can be safely ignored.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    public void readDataset(org.finos.tracdap.api.DataReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncServerStreamingCall(
          getChannel().newCall(getReadDatasetMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a single blob
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a unary call, both the schema and the content of the dataset are returned
     * in a single response message. The content of the dataset will be encoded in the
     * requested format. Errors may occur if the content of the dataset is too large to
     * fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    public void readSmallDataset(org.finos.tracdap.api.DataReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getReadSmallDatasetMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Upload a new file into TRAC, sending the content as a data stream
     * Calling this method will create a new FILE object in the metadata store.
     * Tag updates can be supplied when creating a FILE, they will be passed on to the
     * metadata service. The semantics for tag updates are identical to the createObject()
     * method in TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and required metadata. The second and subsequent
     * messages should contain the content of the file as a series of chunks (byte buffers).
     * (other fields that are set after the first message will be ignored).
     * Empty chunks can be included at any point in the stream and will be ignored.
     * Clients may choose to include the first chunk in the first message along with the
     * request metadata, or to put an empty chunk in the first message and start streaming
     * content in the second message. For very small files, it is possible to put the entire
     * content in one chunk in the first message, so there is only a single message in the stream.
     * All of these approaches are supported.
     * Clients may specify the size of the file being created. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The method returns the header of the newly created FILE object. Error conditions
     * include: Invalid request, unknown tenant and validation failure and data loss
     * (if the number of bytes stored does not match the number specified in the request).
     * Storage errors may also be reported if there is a problem communicating with the
     * underlying storage technology. In the event of an error, TRAC will do its best to
     * clean up any partially-written data in the storage layer.
     * 
     */
    public io.grpc.stub.StreamObserver createFile(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ClientCalls.asyncClientStreamingCall(
          getChannel().newCall(getCreateFileMethod(), getCallOptions()), responseObserver);
    }

    /**
     * 
     **
     * Upload a new file into TRAC, sending the content as a single blob
     * Calling this method will create a new FILE object in the metadata store.
     * Tag updates can be supplied when creating a FILE, they will be passed on to the
     * metadata service. The semantics for tag updates are identical to the createObject()
     * method in TracMetadataApi.
     * This is a unary method. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being created. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The method returns the header of the newly created FILE object. Error conditions
     * include: Invalid request, unknown tenant and validation failure, file too large and
     * data loss (if the number of bytes stored does not match the number specified in the
     * request). Storage errors may also be reported if there is a problem communicating with
     * the underlying storage technology. In the event of an error, TRAC will do its best to
     * clean up any partially-written data in the storage layer.
     * 
     */
    public void createSmallFile(org.finos.tracdap.api.FileWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getCreateSmallFileMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Upload a new version of an existing file into TRAC, sending the content as a data stream
     * Calling this method will update the relevant FILE object in the metadata store.
     * The latest version of the FILE must be supplied in the priorVersion field
     * of the request. For example if the latest version of a FILE object is version 2,
     * the priorVersion field should refer to version 2 and TRAC will create version 3
     * as a result of the update call. The metadata and content of prior versions
     * remain unaltered. The file name may be changed between versions, but the extension
     * and mime type must stay the same. Tag updates can be supplied when updating a FILE,
     * they will be passed on to the metadata service> The semantics for tag updates are
     * identical to the updateObject() method in TracMetadataApi.
     * This is a client streaming method. The first message in the request stream
     * must contain all the request fields and required metadata. The second and subsequent
     * messages should contain the content of the file as a series of byte buffers.
     * (other fields that are set after the first message will be ignored).
     * Empty chunks can be included at any point in the stream and will be ignored.
     * Clients may choose to include the first chunk in the first message along with the
     * request metadata, or to put an empty chunk in the first message and start streaming
     * content in the second message. For very small files, it is possible to put the entire
     * content in one chunk in the first message, so there is only a single message in the stream.
     * All of these approaches are supported.
     * Clients may specify the size of the file being updated. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The call returns the header for the new version of the FILE object. Error conditions
     * include: Invalid request, unknown tenant, validation failure, failed preconditions
     * (e.g. extension and mime type changes) and data loss (if the number of bytes stored
     * does not match the number specified in the request). Storage errors may also be reported
     * if there is a problem communicating with the underlying storage technology. In the event
     * of an error, TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    public io.grpc.stub.StreamObserver updateFile(
        io.grpc.stub.StreamObserver responseObserver) {
      return io.grpc.stub.ClientCalls.asyncClientStreamingCall(
          getChannel().newCall(getUpdateFileMethod(), getCallOptions()), responseObserver);
    }

    /**
     * 
     **
     * Upload a new version of an existing file into TRAC, sending the content as a single blob
     * Calling this method will update the relevant FILE object in the metadata store.
     * The latest version of the FILE must be supplied in the priorVersion field
     * of the request. For example if the latest version of a FILE object is version 2,
     * the priorVersion field should refer to version 2 and TRAC will create version 3
     * as a result of the update call. The metadata and content of prior versions
     * remain unaltered. The file name may be changed between versions, but the extension
     * and mime type must stay the same. Tag updates can be supplied when updating a FILE,
     * they will be passed on to the metadata service> The semantics for tag updates are
     * identical to the updateObject() method in TracMetadataApi.
     * This is a unary call. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being updated. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The call returns the header for the new version of the FILE object. Error conditions
     * include: Invalid request, unknown tenant, validation failure, failed preconditions
     * (e.g. extension and mime type changes) file too large and data loss (if the number of
     * bytes stored does not match the number specified in the request). Storage errors may also
     * be reported if there is a problem communicating with the underlying storage technology.
     * In the event of an error, TRAC will do its best to clean up any partially-written data in
     * the storage layer.
     * 
     */
    public void updateSmallFile(org.finos.tracdap.api.FileWriteRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getUpdateSmallFileMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a data stream
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a server streaming method. The first message in the response stream will
     * contain the response metadata (i.e. the file definition). The second
     * and subsequent messages will deliver the content of the file as a stream of chunks
     * (byte buffers). Empty chunks may be included at any point in the stream and
     * should be ignored. In particular, TRAC guarantees that the chunk in the first
     * message will always be an empty chunk. Clients are free to ignore this chunk,
     * for example if they have a separate function for processing the first message in
     * the response stream. Alternatively clients may process the empty chunk in the firs
     * message in the same way as any other chunk. Both approaches are supported.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version.
     * Storage errors may also be reported if there is a problem communicating with the
     * underlying storage technology.
     * 
     */
    public void readFile(org.finos.tracdap.api.FileReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncServerStreamingCall(
          getChannel().newCall(getReadFileMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a single blob
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a unary method, the response will contain the file definition and the
     * whole content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version,
     * file too large. Storage errors may also be reported if there is a problem
     * communicating with the underlying storage technology.
     * 
     */
    public void readSmallFile(org.finos.tracdap.api.FileReadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getReadSmallFileMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Download a file as a data stream
     * This method is intended for use by browsers and other HTTP clients
     * to download a file using an HTTP GET request.
     * 
     */
    public void downloadFile(org.finos.tracdap.api.DownloadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncServerStreamingCall(
          getChannel().newCall(getDownloadFileMethod(), getCallOptions()), request, responseObserver);
    }

    /**
     * 
     **
     * Download the latest version of a file as a data stream
     * This method is intended for use by browsers and other HTTP clients
     * to download a file using an HTTP GET request.
     * 
     */
    public void downloadLatestFile(org.finos.tracdap.api.DownloadRequest request,
        io.grpc.stub.StreamObserver responseObserver) {
      io.grpc.stub.ClientCalls.asyncServerStreamingCall(
          getChannel().newCall(getDownloadLatestFileMethod(), getCallOptions()), request, responseObserver);
    }
  }

  /**
   * A stub to allow clients to do synchronous rpc calls to service TracDataApi.
   * 
   **
   * Public API for creating, updating, reading and querying primary data stored in the TRAC platform.
   * The TRAC data API provides a standard mechanism for client applications to store and access data
   * in the TRAC platform. Calls are translated into the underlying storage mechanisms, using push-down
   * operations where possible for efficient queries on large datasets.
   * The data API includes format translation, so data can be uploaded and retrieved in any supported
   * format. The back-end storage format is controlled by the platform. For example if a user uploads
   * a CSV file TRAC will convert it to the default storage format (by default Arrow IPC file format).
   * Later a web application might ask for that data in JSON format and TRAC would again perform the
   * conversion. The platform uses Apache Arrow as an intermediate representation that other formats
   * are converted from and to.
   * The data API uses streaming operations to support transfer of large datasets and can be used for
   * both user-facing client applications and system-to-system integration. For regular, high-volume
   * data transfers there are other options for integration, including data import jobs and direct
   * back-end integration of the underlying storage technologies. These options can be faster and
   * reduce storage requirements, at the expense of tighter coupling between systems. A compromise is
   * to use direct integration and import jobs for a small number of critical feeds containing a
   * high volume of data, and use the data API for client access and for integration of secondary
   * and/or low-volume systems.
   * 
   */
  public static final class TracDataApiBlockingStub
      extends io.grpc.stub.AbstractBlockingStub {
    private TracDataApiBlockingStub(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      super(channel, callOptions);
    }

    @java.lang.Override
    protected TracDataApiBlockingStub build(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      return new TracDataApiBlockingStub(channel, callOptions);
    }

    /**
     * 
     **
     * Create a new dataset, supplying the schema and content as a single blob
     * This method creates a new dataset and a corresponding DATA object
     * in the TRAC metadata store. Once a dataset is created it can be used as an
     * input into a model run, it can also be read and queried using the data API.
     * Data can be supplied in any format supported by the platform.
     * The request must specify a schema for the dataset, incoming data will be
     * verified against the schema. Schemas can be specified using either:
     *    * A full schema definition - if a full schema is supplied, it will be embedded
     *      with the dataset and used for this dataset only
     *    * A schema ID - a tag selector for an existing SCHEMA object, which may be
     *      shared by multiple datasets
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. TRAC will apply format conversion before the data is
     * processed and stored.
     * Tag updates can be supplied to tag the newly created dataset, they behave exactly
     * the same as tag updates in the createObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the newly created DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), format not supported, data does not match schema, corrupt or invalid
     * data stream. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology. In the event of an error, TRAC will do its
     * best to clean up any partially-written data in the storage layer.
     * 
     */
    public org.finos.tracdap.metadata.TagHeader createSmallDataset(org.finos.tracdap.api.DataWriteRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getCreateSmallDatasetMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Update an existing dataset, supplying the schema and content as a single blob
     * This method updates an existing dataset and the corresponding DATA object
     * in the TRAC metadata store. As per the TRAC immutability guarantee, the original
     * version of the dataset is not altered. After an update, both the original version
     * and the new version are available to use as inputs into a model runs and to read
     * and query using the data API. Data can be supplied in any format supported by the
     * platform.
     * To update a dataset, the priorVersion field must indicate the dataset being updated.
     * Only the latest version of a dataset can be updated.
     * The request must specify a schema for the new version of the dataset, incoming data
     * will be verified against the schema. The new schema must be compatible with the schema
     * of the previous version. Schemas can be specified using either:
     *    * A full schema definition - Datasets created using an embedded schema must supply
     *      a full schema for all subsequent versions and each schema version must be compatible
     *      with the version before. Fields may be added, but not removed or altered.
     *    * A schema ID - Datasets created using an external schema must use the same external
     *      schema ID for all subsequent versions. It is permitted for later versions of a
     *      dataset to use later versions of the external schema, but not earlier versions.
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. It is not necessary for different versions of the same dataset
     * to be uploaded using the same format. TRAC will apply format conversion before the
     * data is processed and stored.
     * Tag updates can be supplied to tag the new version of the dataset, they behave exactly
     * the same as tag updates in the updateObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the version of the DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), schema version not compatible, format not supported, data does not match
     * schema, corrupt or invalid data stream. Storage errors may also be reported if there is
     * a problem communicating with the underlying storage technology. In the event of an error,
     * TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    public org.finos.tracdap.metadata.TagHeader updateSmallDataset(org.finos.tracdap.api.DataWriteRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getUpdateSmallDatasetMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a data stream
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a server streaming method. The first message in the response stream will
     * contain a schema definition for the dataset (this may come from an embedded schema
     * or an external schema object). The second and subsequent messages will deliver the
     * content of the dataset in the requested format. TRAC guarantees that the first message
     * will always contain an empty chunk of content, which can be safely ignored.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    public java.util.Iterator readDataset(
        org.finos.tracdap.api.DataReadRequest request) {
      return io.grpc.stub.ClientCalls.blockingServerStreamingCall(
          getChannel(), getReadDatasetMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a single blob
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a unary call, both the schema and the content of the dataset are returned
     * in a single response message. The content of the dataset will be encoded in the
     * requested format. Errors may occur if the content of the dataset is too large to
     * fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    public org.finos.tracdap.api.DataReadResponse readSmallDataset(org.finos.tracdap.api.DataReadRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getReadSmallDatasetMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Upload a new file into TRAC, sending the content as a single blob
     * Calling this method will create a new FILE object in the metadata store.
     * Tag updates can be supplied when creating a FILE, they will be passed on to the
     * metadata service. The semantics for tag updates are identical to the createObject()
     * method in TracMetadataApi.
     * This is a unary method. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being created. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The method returns the header of the newly created FILE object. Error conditions
     * include: Invalid request, unknown tenant and validation failure, file too large and
     * data loss (if the number of bytes stored does not match the number specified in the
     * request). Storage errors may also be reported if there is a problem communicating with
     * the underlying storage technology. In the event of an error, TRAC will do its best to
     * clean up any partially-written data in the storage layer.
     * 
     */
    public org.finos.tracdap.metadata.TagHeader createSmallFile(org.finos.tracdap.api.FileWriteRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getCreateSmallFileMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Upload a new version of an existing file into TRAC, sending the content as a single blob
     * Calling this method will update the relevant FILE object in the metadata store.
     * The latest version of the FILE must be supplied in the priorVersion field
     * of the request. For example if the latest version of a FILE object is version 2,
     * the priorVersion field should refer to version 2 and TRAC will create version 3
     * as a result of the update call. The metadata and content of prior versions
     * remain unaltered. The file name may be changed between versions, but the extension
     * and mime type must stay the same. Tag updates can be supplied when updating a FILE,
     * they will be passed on to the metadata service> The semantics for tag updates are
     * identical to the updateObject() method in TracMetadataApi.
     * This is a unary call. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being updated. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The call returns the header for the new version of the FILE object. Error conditions
     * include: Invalid request, unknown tenant, validation failure, failed preconditions
     * (e.g. extension and mime type changes) file too large and data loss (if the number of
     * bytes stored does not match the number specified in the request). Storage errors may also
     * be reported if there is a problem communicating with the underlying storage technology.
     * In the event of an error, TRAC will do its best to clean up any partially-written data in
     * the storage layer.
     * 
     */
    public org.finos.tracdap.metadata.TagHeader updateSmallFile(org.finos.tracdap.api.FileWriteRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getUpdateSmallFileMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a data stream
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a server streaming method. The first message in the response stream will
     * contain the response metadata (i.e. the file definition). The second
     * and subsequent messages will deliver the content of the file as a stream of chunks
     * (byte buffers). Empty chunks may be included at any point in the stream and
     * should be ignored. In particular, TRAC guarantees that the chunk in the first
     * message will always be an empty chunk. Clients are free to ignore this chunk,
     * for example if they have a separate function for processing the first message in
     * the response stream. Alternatively clients may process the empty chunk in the firs
     * message in the same way as any other chunk. Both approaches are supported.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version.
     * Storage errors may also be reported if there is a problem communicating with the
     * underlying storage technology.
     * 
     */
    public java.util.Iterator readFile(
        org.finos.tracdap.api.FileReadRequest request) {
      return io.grpc.stub.ClientCalls.blockingServerStreamingCall(
          getChannel(), getReadFileMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a single blob
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a unary method, the response will contain the file definition and the
     * whole content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version,
     * file too large. Storage errors may also be reported if there is a problem
     * communicating with the underlying storage technology.
     * 
     */
    public org.finos.tracdap.api.FileReadResponse readSmallFile(org.finos.tracdap.api.FileReadRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getReadSmallFileMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Download a file as a data stream
     * This method is intended for use by browsers and other HTTP clients
     * to download a file using an HTTP GET request.
     * 
     */
    public java.util.Iterator downloadFile(
        org.finos.tracdap.api.DownloadRequest request) {
      return io.grpc.stub.ClientCalls.blockingServerStreamingCall(
          getChannel(), getDownloadFileMethod(), getCallOptions(), request);
    }

    /**
     * 
     **
     * Download the latest version of a file as a data stream
     * This method is intended for use by browsers and other HTTP clients
     * to download a file using an HTTP GET request.
     * 
     */
    public java.util.Iterator downloadLatestFile(
        org.finos.tracdap.api.DownloadRequest request) {
      return io.grpc.stub.ClientCalls.blockingServerStreamingCall(
          getChannel(), getDownloadLatestFileMethod(), getCallOptions(), request);
    }
  }

  /**
   * A stub to allow clients to do ListenableFuture-style rpc calls to service TracDataApi.
   * 
   **
   * Public API for creating, updating, reading and querying primary data stored in the TRAC platform.
   * The TRAC data API provides a standard mechanism for client applications to store and access data
   * in the TRAC platform. Calls are translated into the underlying storage mechanisms, using push-down
   * operations where possible for efficient queries on large datasets.
   * The data API includes format translation, so data can be uploaded and retrieved in any supported
   * format. The back-end storage format is controlled by the platform. For example if a user uploads
   * a CSV file TRAC will convert it to the default storage format (by default Arrow IPC file format).
   * Later a web application might ask for that data in JSON format and TRAC would again perform the
   * conversion. The platform uses Apache Arrow as an intermediate representation that other formats
   * are converted from and to.
   * The data API uses streaming operations to support transfer of large datasets and can be used for
   * both user-facing client applications and system-to-system integration. For regular, high-volume
   * data transfers there are other options for integration, including data import jobs and direct
   * back-end integration of the underlying storage technologies. These options can be faster and
   * reduce storage requirements, at the expense of tighter coupling between systems. A compromise is
   * to use direct integration and import jobs for a small number of critical feeds containing a
   * high volume of data, and use the data API for client access and for integration of secondary
   * and/or low-volume systems.
   * 
   */
  public static final class TracDataApiFutureStub
      extends io.grpc.stub.AbstractFutureStub {
    private TracDataApiFutureStub(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      super(channel, callOptions);
    }

    @java.lang.Override
    protected TracDataApiFutureStub build(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      return new TracDataApiFutureStub(channel, callOptions);
    }

    /**
     * 
     **
     * Create a new dataset, supplying the schema and content as a single blob
     * This method creates a new dataset and a corresponding DATA object
     * in the TRAC metadata store. Once a dataset is created it can be used as an
     * input into a model run, it can also be read and queried using the data API.
     * Data can be supplied in any format supported by the platform.
     * The request must specify a schema for the dataset, incoming data will be
     * verified against the schema. Schemas can be specified using either:
     *    * A full schema definition - if a full schema is supplied, it will be embedded
     *      with the dataset and used for this dataset only
     *    * A schema ID - a tag selector for an existing SCHEMA object, which may be
     *      shared by multiple datasets
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. TRAC will apply format conversion before the data is
     * processed and stored.
     * Tag updates can be supplied to tag the newly created dataset, they behave exactly
     * the same as tag updates in the createObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the newly created DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), format not supported, data does not match schema, corrupt or invalid
     * data stream. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology. In the event of an error, TRAC will do its
     * best to clean up any partially-written data in the storage layer.
     * 
     */
    public com.google.common.util.concurrent.ListenableFuture createSmallDataset(
        org.finos.tracdap.api.DataWriteRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getCreateSmallDatasetMethod(), getCallOptions()), request);
    }

    /**
     * 
     **
     * Update an existing dataset, supplying the schema and content as a single blob
     * This method updates an existing dataset and the corresponding DATA object
     * in the TRAC metadata store. As per the TRAC immutability guarantee, the original
     * version of the dataset is not altered. After an update, both the original version
     * and the new version are available to use as inputs into a model runs and to read
     * and query using the data API. Data can be supplied in any format supported by the
     * platform.
     * To update a dataset, the priorVersion field must indicate the dataset being updated.
     * Only the latest version of a dataset can be updated.
     * The request must specify a schema for the new version of the dataset, incoming data
     * will be verified against the schema. The new schema must be compatible with the schema
     * of the previous version. Schemas can be specified using either:
     *    * A full schema definition - Datasets created using an embedded schema must supply
     *      a full schema for all subsequent versions and each schema version must be compatible
     *      with the version before. Fields may be added, but not removed or altered.
     *    * A schema ID - Datasets created using an external schema must use the same external
     *      schema ID for all subsequent versions. It is permitted for later versions of a
     *      dataset to use later versions of the external schema, but not earlier versions.
     * The "format" parameter describes the format used to upload data. For example,
     * to upload a CSV file the format would be set to "text/csv" and the file content
     * can be uploaded directly, or to upload the output of an editor grid in a web
     * client the format can be set to "text/json" to upload a JSON representation of
     * the editor contents. It is not necessary for different versions of the same dataset
     * to be uploaded using the same format. TRAC will apply format conversion before the
     * data is processed and stored.
     * Tag updates can be supplied to tag the new version of the dataset, they behave exactly
     * the same as tag updates in the updateObject() call of TracMetadataApi.
     * This is a unary call, all the request fields and metadata (including schema specifier)
     * and dataset content encoded as per the "format" field are supplied in a single message.
     * It is intended for working with small datasets and for use in environments where client
     * streaming is not available (particularly in gRPC-Web clients).
     * This method returns the header of the version of the DATA object. Error conditions
     * include: Invalid request, unknown tenant, schema not found (if an external schema
     * ID is used), schema version not compatible, format not supported, data does not match
     * schema, corrupt or invalid data stream. Storage errors may also be reported if there is
     * a problem communicating with the underlying storage technology. In the event of an error,
     * TRAC will do its best to clean up any partially-written data in the storage layer.
     * 
     */
    public com.google.common.util.concurrent.ListenableFuture updateSmallDataset(
        org.finos.tracdap.api.DataWriteRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getUpdateSmallDatasetMethod(), getCallOptions()), request);
    }

    /**
     * 
     **
     * Read an existing dataset, returning the content as a single blob
     * This method reads the contents of an existing dataset and returns it in the
     * requested format, along with a copy of the data schema. Data can be requested
     * in any format supported by the platform.
     * The request uses a regular TagSelector to indicate which dataset and version to read.
     * The format parameter is a mime type and must be a supported data format.
     * This is a unary call, both the schema and the content of the dataset are returned
     * in a single response message. The content of the dataset will be encoded in the
     * requested format. Errors may occur if the content of the dataset is too large to
     * fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, object not found, format
     * not supported. Storage errors may also be reported if there is a problem communicating
     * with the underlying storage technology.
     * 
     */
    public com.google.common.util.concurrent.ListenableFuture readSmallDataset(
        org.finos.tracdap.api.DataReadRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getReadSmallDatasetMethod(), getCallOptions()), request);
    }

    /**
     * 
     **
     * Upload a new file into TRAC, sending the content as a single blob
     * Calling this method will create a new FILE object in the metadata store.
     * Tag updates can be supplied when creating a FILE, they will be passed on to the
     * metadata service. The semantics for tag updates are identical to the createObject()
     * method in TracMetadataApi.
     * This is a unary method. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being created. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The method returns the header of the newly created FILE object. Error conditions
     * include: Invalid request, unknown tenant and validation failure, file too large and
     * data loss (if the number of bytes stored does not match the number specified in the
     * request). Storage errors may also be reported if there is a problem communicating with
     * the underlying storage technology. In the event of an error, TRAC will do its best to
     * clean up any partially-written data in the storage layer.
     * 
     */
    public com.google.common.util.concurrent.ListenableFuture createSmallFile(
        org.finos.tracdap.api.FileWriteRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getCreateSmallFileMethod(), getCallOptions()), request);
    }

    /**
     * 
     **
     * Upload a new version of an existing file into TRAC, sending the content as a single blob
     * Calling this method will update the relevant FILE object in the metadata store.
     * The latest version of the FILE must be supplied in the priorVersion field
     * of the request. For example if the latest version of a FILE object is version 2,
     * the priorVersion field should refer to version 2 and TRAC will create version 3
     * as a result of the update call. The metadata and content of prior versions
     * remain unaltered. The file name may be changed between versions, but the extension
     * and mime type must stay the same. Tag updates can be supplied when updating a FILE,
     * they will be passed on to the metadata service> The semantics for tag updates are
     * identical to the updateObject() method in TracMetadataApi.
     * This is a unary call. The request must contain all the relevant fields and the
     * entire content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Clients may specify the size of the file being updated. When a size is supplied, TRAC
     * will check the size against the number of bytes stored. If the stored file size does not
     * match the supplied value, the error will be reported with an error status of DATA_LOSS.
     * When no size is supplied the check cannot be performed.
     * The call returns the header for the new version of the FILE object. Error conditions
     * include: Invalid request, unknown tenant, validation failure, failed preconditions
     * (e.g. extension and mime type changes) file too large and data loss (if the number of
     * bytes stored does not match the number specified in the request). Storage errors may also
     * be reported if there is a problem communicating with the underlying storage technology.
     * In the event of an error, TRAC will do its best to clean up any partially-written data in
     * the storage layer.
     * 
     */
    public com.google.common.util.concurrent.ListenableFuture updateSmallFile(
        org.finos.tracdap.api.FileWriteRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getUpdateSmallFileMethod(), getCallOptions()), request);
    }

    /**
     * 
     **
     * Download a file that has been stored in TRAC and return it as a single blob
     * The request uses a regular TagSelector to indicate which file to read. The
     * semantics of the request are identical to the readObject() method in
     * TracMetadataApi.
     * This is a unary method, the response will contain the file definition and the
     * whole content of the file in a single message. Errors may occur if the file is
     * too large to fit in a single message frame.
     * Error conditions include: Invalid request, unknown tenant, unknown object ID,
     * object type does not match ID, unknown object version, unknown tag version,
     * file too large. Storage errors may also be reported if there is a problem
     * communicating with the underlying storage technology.
     * 
     */
    public com.google.common.util.concurrent.ListenableFuture readSmallFile(
        org.finos.tracdap.api.FileReadRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getReadSmallFileMethod(), getCallOptions()), request);
    }
  }

  private static final int METHODID_CREATE_SMALL_DATASET = 0;
  private static final int METHODID_UPDATE_SMALL_DATASET = 1;
  private static final int METHODID_READ_DATASET = 2;
  private static final int METHODID_READ_SMALL_DATASET = 3;
  private static final int METHODID_CREATE_SMALL_FILE = 4;
  private static final int METHODID_UPDATE_SMALL_FILE = 5;
  private static final int METHODID_READ_FILE = 6;
  private static final int METHODID_READ_SMALL_FILE = 7;
  private static final int METHODID_DOWNLOAD_FILE = 8;
  private static final int METHODID_DOWNLOAD_LATEST_FILE = 9;
  private static final int METHODID_CREATE_DATASET = 10;
  private static final int METHODID_UPDATE_DATASET = 11;
  private static final int METHODID_CREATE_FILE = 12;
  private static final int METHODID_UPDATE_FILE = 13;

  private static final class MethodHandlers implements
      io.grpc.stub.ServerCalls.UnaryMethod,
      io.grpc.stub.ServerCalls.ServerStreamingMethod,
      io.grpc.stub.ServerCalls.ClientStreamingMethod,
      io.grpc.stub.ServerCalls.BidiStreamingMethod {
    private final AsyncService serviceImpl;
    private final int methodId;

    MethodHandlers(AsyncService serviceImpl, int methodId) {
      this.serviceImpl = serviceImpl;
      this.methodId = methodId;
    }

    @java.lang.Override
    @java.lang.SuppressWarnings("unchecked")
    public void invoke(Req request, io.grpc.stub.StreamObserver responseObserver) {
      switch (methodId) {
        case METHODID_CREATE_SMALL_DATASET:
          serviceImpl.createSmallDataset((org.finos.tracdap.api.DataWriteRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_UPDATE_SMALL_DATASET:
          serviceImpl.updateSmallDataset((org.finos.tracdap.api.DataWriteRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_READ_DATASET:
          serviceImpl.readDataset((org.finos.tracdap.api.DataReadRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_READ_SMALL_DATASET:
          serviceImpl.readSmallDataset((org.finos.tracdap.api.DataReadRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_CREATE_SMALL_FILE:
          serviceImpl.createSmallFile((org.finos.tracdap.api.FileWriteRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_UPDATE_SMALL_FILE:
          serviceImpl.updateSmallFile((org.finos.tracdap.api.FileWriteRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_READ_FILE:
          serviceImpl.readFile((org.finos.tracdap.api.FileReadRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_READ_SMALL_FILE:
          serviceImpl.readSmallFile((org.finos.tracdap.api.FileReadRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_DOWNLOAD_FILE:
          serviceImpl.downloadFile((org.finos.tracdap.api.DownloadRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        case METHODID_DOWNLOAD_LATEST_FILE:
          serviceImpl.downloadLatestFile((org.finos.tracdap.api.DownloadRequest) request,
              (io.grpc.stub.StreamObserver) responseObserver);
          break;
        default:
          throw new AssertionError();
      }
    }

    @java.lang.Override
    @java.lang.SuppressWarnings("unchecked")
    public io.grpc.stub.StreamObserver invoke(
        io.grpc.stub.StreamObserver responseObserver) {
      switch (methodId) {
        case METHODID_CREATE_DATASET:
          return (io.grpc.stub.StreamObserver) serviceImpl.createDataset(
              (io.grpc.stub.StreamObserver) responseObserver);
        case METHODID_UPDATE_DATASET:
          return (io.grpc.stub.StreamObserver) serviceImpl.updateDataset(
              (io.grpc.stub.StreamObserver) responseObserver);
        case METHODID_CREATE_FILE:
          return (io.grpc.stub.StreamObserver) serviceImpl.createFile(
              (io.grpc.stub.StreamObserver) responseObserver);
        case METHODID_UPDATE_FILE:
          return (io.grpc.stub.StreamObserver) serviceImpl.updateFile(
              (io.grpc.stub.StreamObserver) responseObserver);
        default:
          throw new AssertionError();
      }
    }
  }

  public static final io.grpc.ServerServiceDefinition bindService(AsyncService service) {
    return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
        .addMethod(
          getCreateDatasetMethod(),
          io.grpc.stub.ServerCalls.asyncClientStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.DataWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_CREATE_DATASET)))
        .addMethod(
          getCreateSmallDatasetMethod(),
          io.grpc.stub.ServerCalls.asyncUnaryCall(
            new MethodHandlers<
              org.finos.tracdap.api.DataWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_CREATE_SMALL_DATASET)))
        .addMethod(
          getUpdateDatasetMethod(),
          io.grpc.stub.ServerCalls.asyncClientStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.DataWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_UPDATE_DATASET)))
        .addMethod(
          getUpdateSmallDatasetMethod(),
          io.grpc.stub.ServerCalls.asyncUnaryCall(
            new MethodHandlers<
              org.finos.tracdap.api.DataWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_UPDATE_SMALL_DATASET)))
        .addMethod(
          getReadDatasetMethod(),
          io.grpc.stub.ServerCalls.asyncServerStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.DataReadRequest,
              org.finos.tracdap.api.DataReadResponse>(
                service, METHODID_READ_DATASET)))
        .addMethod(
          getReadSmallDatasetMethod(),
          io.grpc.stub.ServerCalls.asyncUnaryCall(
            new MethodHandlers<
              org.finos.tracdap.api.DataReadRequest,
              org.finos.tracdap.api.DataReadResponse>(
                service, METHODID_READ_SMALL_DATASET)))
        .addMethod(
          getCreateFileMethod(),
          io.grpc.stub.ServerCalls.asyncClientStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.FileWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_CREATE_FILE)))
        .addMethod(
          getCreateSmallFileMethod(),
          io.grpc.stub.ServerCalls.asyncUnaryCall(
            new MethodHandlers<
              org.finos.tracdap.api.FileWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_CREATE_SMALL_FILE)))
        .addMethod(
          getUpdateFileMethod(),
          io.grpc.stub.ServerCalls.asyncClientStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.FileWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_UPDATE_FILE)))
        .addMethod(
          getUpdateSmallFileMethod(),
          io.grpc.stub.ServerCalls.asyncUnaryCall(
            new MethodHandlers<
              org.finos.tracdap.api.FileWriteRequest,
              org.finos.tracdap.metadata.TagHeader>(
                service, METHODID_UPDATE_SMALL_FILE)))
        .addMethod(
          getReadFileMethod(),
          io.grpc.stub.ServerCalls.asyncServerStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.FileReadRequest,
              org.finos.tracdap.api.FileReadResponse>(
                service, METHODID_READ_FILE)))
        .addMethod(
          getReadSmallFileMethod(),
          io.grpc.stub.ServerCalls.asyncUnaryCall(
            new MethodHandlers<
              org.finos.tracdap.api.FileReadRequest,
              org.finos.tracdap.api.FileReadResponse>(
                service, METHODID_READ_SMALL_FILE)))
        .addMethod(
          getDownloadFileMethod(),
          io.grpc.stub.ServerCalls.asyncServerStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.DownloadRequest,
              org.finos.tracdap.api.DownloadResponse>(
                service, METHODID_DOWNLOAD_FILE)))
        .addMethod(
          getDownloadLatestFileMethod(),
          io.grpc.stub.ServerCalls.asyncServerStreamingCall(
            new MethodHandlers<
              org.finos.tracdap.api.DownloadRequest,
              org.finos.tracdap.api.DownloadResponse>(
                service, METHODID_DOWNLOAD_LATEST_FILE)))
        .build();
  }

  private static abstract class TracDataApiBaseDescriptorSupplier
      implements io.grpc.protobuf.ProtoFileDescriptorSupplier, io.grpc.protobuf.ProtoServiceDescriptorSupplier {
    TracDataApiBaseDescriptorSupplier() {}

    @java.lang.Override
    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
      return org.finos.tracdap.api.Data.getDescriptor();
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
      return getFileDescriptor().findServiceByName("TracDataApi");
    }
  }

  private static final class TracDataApiFileDescriptorSupplier
      extends TracDataApiBaseDescriptorSupplier {
    TracDataApiFileDescriptorSupplier() {}
  }

  private static final class TracDataApiMethodDescriptorSupplier
      extends TracDataApiBaseDescriptorSupplier
      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
    private final java.lang.String methodName;

    TracDataApiMethodDescriptorSupplier(java.lang.String methodName) {
      this.methodName = methodName;
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
      return getServiceDescriptor().findMethodByName(methodName);
    }
  }

  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;

  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
    io.grpc.ServiceDescriptor result = serviceDescriptor;
    if (result == null) {
      synchronized (TracDataApiGrpc.class) {
        result = serviceDescriptor;
        if (result == null) {
          serviceDescriptor = result = io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
              .setSchemaDescriptor(new TracDataApiFileDescriptorSupplier())
              .addMethod(getCreateDatasetMethod())
              .addMethod(getCreateSmallDatasetMethod())
              .addMethod(getUpdateDatasetMethod())
              .addMethod(getUpdateSmallDatasetMethod())
              .addMethod(getReadDatasetMethod())
              .addMethod(getReadSmallDatasetMethod())
              .addMethod(getCreateFileMethod())
              .addMethod(getCreateSmallFileMethod())
              .addMethod(getUpdateFileMethod())
              .addMethod(getUpdateSmallFileMethod())
              .addMethod(getReadFileMethod())
              .addMethod(getReadSmallFileMethod())
              .addMethod(getDownloadFileMethod())
              .addMethod(getDownloadLatestFileMethod())
              .build();
        }
      }
    }
    return result;
  }
}