org.apache.hudi.io.HoodieWriteHandle Maven / Gradle / Ivy

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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hudi.io;

import org.apache.hudi.avro.HoodieAvroUtils;
import org.apache.hudi.client.SparkTaskContextSupplier;
import org.apache.hudi.client.WriteStatus;
import org.apache.hudi.common.fs.FSUtils;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.model.HoodieRecordPayload;
import org.apache.hudi.common.util.HoodieTimer;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.common.util.ReflectionUtils;
import org.apache.hudi.common.util.collection.Pair;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.exception.HoodieIOException;
import org.apache.hudi.io.storage.HoodieFileWriter;
import org.apache.hudi.io.storage.HoodieFileWriterFactory;
import org.apache.hudi.table.HoodieTable;

import org.apache.avro.Schema;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.generic.IndexedRecord;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hudi.table.MarkerFiles;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;

import java.io.IOException;

/**
 * Base class for all write operations logically performed at the file group level.
 */
public abstract class HoodieWriteHandle extends HoodieIOHandle {

  private static final Logger LOG = LogManager.getLogger(HoodieWriteHandle.class);

  protected final Schema writerSchema;
  protected final Schema writerSchemaWithMetafields;
  protected HoodieTimer timer;
  protected final WriteStatus writeStatus;
  protected final String partitionPath;
  protected final String fileId;
  protected final String writeToken;
  protected final SparkTaskContextSupplier sparkTaskContextSupplier;

  public HoodieWriteHandle(HoodieWriteConfig config, String instantTime, String partitionPath,
                           String fileId, HoodieTable hoodieTable, SparkTaskContextSupplier sparkTaskContextSupplier) {
    this(config, instantTime, partitionPath, fileId, hoodieTable,
        getWriterSchemaIncludingAndExcludingMetadataPair(config), sparkTaskContextSupplier);
  }

  protected HoodieWriteHandle(HoodieWriteConfig config, String instantTime, String partitionPath, String fileId,
                              HoodieTable hoodieTable, Pair writerSchemaIncludingAndExcludingMetadataPair,
                              SparkTaskContextSupplier sparkTaskContextSupplier) {
    super(config, instantTime, hoodieTable);
    this.partitionPath = partitionPath;
    this.fileId = fileId;
    this.writerSchema = writerSchemaIncludingAndExcludingMetadataPair.getKey();
    this.writerSchemaWithMetafields = writerSchemaIncludingAndExcludingMetadataPair.getValue();
    this.timer = new HoodieTimer().startTimer();
    this.writeStatus = (WriteStatus) ReflectionUtils.loadClass(config.getWriteStatusClassName(),
        !hoodieTable.getIndex().isImplicitWithStorage(), config.getWriteStatusFailureFraction());
    this.sparkTaskContextSupplier = sparkTaskContextSupplier;
    this.writeToken = makeWriteToken();
  }

  /**
   * Returns writer schema pairs containing
   *   (a) Writer Schema from client
   *   (b) (a) with hoodie metadata fields.
   * @param config Write Config
   * @return
   */
  protected static Pair getWriterSchemaIncludingAndExcludingMetadataPair(HoodieWriteConfig config) {
    Schema originalSchema = new Schema.Parser().parse(config.getSchema());
    Schema hoodieSchema = HoodieAvroUtils.addMetadataFields(originalSchema);
    return Pair.of(originalSchema, hoodieSchema);
  }

  /**
   * Generate a write token based on the currently running spark task and its place in the spark dag.
   */
  private String makeWriteToken() {
    return FSUtils.makeWriteToken(getPartitionId(), getStageId(), getAttemptId());
  }

  public Path makeNewPath(String partitionPath) {
    Path path = FSUtils.getPartitionPath(config.getBasePath(), partitionPath);
    try {
      fs.mkdirs(path); // create a new partition as needed.
    } catch (IOException e) {
      throw new HoodieIOException("Failed to make dir " + path, e);
    }

    return new Path(path.toString(), FSUtils.makeDataFileName(instantTime, writeToken, fileId,
        hoodieTable.getMetaClient().getTableConfig().getBaseFileFormat().getFileExtension()));
  }

  /**
   * Creates an empty marker file corresponding to storage writer path.
   *
   * @param partitionPath Partition path
   */
  protected void createMarkerFile(String partitionPath, String dataFileName) {
    MarkerFiles markerFiles = new MarkerFiles(hoodieTable, instantTime);
    markerFiles.create(partitionPath, dataFileName, getIOType());
  }

  public Schema getWriterSchemaWithMetafields() {
    return writerSchemaWithMetafields;
  }

  /**
   * Determines whether we can accept the incoming records, into the current file. Depending on
   * 
   * - Whether it belongs to the same partitionPath as existing records - Whether the current file written bytes lt max
   * file size
   */
  public boolean canWrite(HoodieRecord record) {
    return false;
  }

  /**
   * Perform the actual writing of the given record into the backing file.
   */
  public void write(HoodieRecord record, Option insertValue) {
    // NO_OP
  }

  /**
   * Perform the actual writing of the given record into the backing file.
   */
  public void write(HoodieRecord record, Option avroRecord, Option exception) {
    Option recordMetadata = record.getData().getMetadata();
    if (exception.isPresent() && exception.get() instanceof Throwable) {
      // Not throwing exception from here, since we don't want to fail the entire job for a single record
      writeStatus.markFailure(record, exception.get(), recordMetadata);
      LOG.error("Error writing record " + record, exception.get());
    } else {
      write(record, avroRecord);
    }
  }

  /**
   * Rewrite the GenericRecord with the Schema containing the Hoodie Metadata fields.
   */
  protected GenericRecord rewriteRecord(GenericRecord record) {
    return HoodieAvroUtils.rewriteRecord(record, writerSchemaWithMetafields);
  }

  public abstract WriteStatus close();

  public abstract WriteStatus getWriteStatus();

  public abstract IOType getIOType();

  @Override
  protected FileSystem getFileSystem() {
    return hoodieTable.getMetaClient().getFs();
  }

  protected int getPartitionId() {
    return sparkTaskContextSupplier.getPartitionIdSupplier().get();
  }

  protected int getStageId() {
    return sparkTaskContextSupplier.getStageIdSupplier().get();
  }

  protected long getAttemptId() {
    return sparkTaskContextSupplier.getAttemptIdSupplier().get();
  }

  protected HoodieFileWriter createNewFileWriter(String instantTime, Path path, HoodieTable hoodieTable,
      HoodieWriteConfig config, Schema schema, SparkTaskContextSupplier sparkTaskContextSupplier) throws IOException {
    return HoodieFileWriterFactory.getFileWriter(instantTime, path, hoodieTable, config, schema, sparkTaskContextSupplier);
  }
}