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// Code generated from OpenAPI specs by Databricks SDK Generator. DO NOT EDIT.

package com.databricks.sdk.service.sql;

import com.databricks.sdk.support.Generated;
import com.databricks.sdk.support.ToStringer;
import com.fasterxml.jackson.annotation.JsonProperty;
import java.util.Collection;
import java.util.Objects;

/** The result manifest provides schema and metadata for the result set. */
@Generated
public class ResultManifest {
  /** Array of result set chunk metadata. */
  @JsonProperty("chunks")
  private Collection chunks;

  /**
   * Statement execution supports three result formats: `JSON_ARRAY` (default), `ARROW_STREAM`, and
   * `CSV`.
   *
   * 

When specifying `format=JSON_ARRAY`, result data will be formatted as an array of arrays of * values, where each value is either the *string representation* of a value, or `null`. For * example, the output of `SELECT concat('id-', id) AS strCol, id AS intCol, null AS nullCol FROM * range(3)` would look like this: * *

``` [ [ "id-1", "1", null ], [ "id-2", "2", null ], [ "id-3", "3", null ], ] ``` * *

`JSON_ARRAY` is supported with `INLINE` and `EXTERNAL_LINKS` dispositions. * *

`INLINE` `JSON_ARRAY` data can be found at the path `StatementResponse.result.data_array`. * *

For `EXTERNAL_LINKS` `JSON_ARRAY` results, each URL points to a file in cloud storage that * contains compact JSON with no indentation or extra whitespace. * *

When specifying `format=ARROW_STREAM`, each chunk in the result will be formatted as Apache * Arrow Stream. See the [Apache Arrow streaming format]. * *

IMPORTANT: The format `ARROW_STREAM` is supported only with `EXTERNAL_LINKS` disposition. * *

When specifying `format=CSV`, each chunk in the result will be a CSV according to [RFC 4180] * standard. All the columns values will have *string representation* similar to the `JSON_ARRAY` * format, and `null` values will be encoded as “null”. Only the first chunk in the result would * contain a header row with column names. For example, the output of `SELECT concat('id-', id) AS * strCol, id AS intCol, null as nullCol FROM range(3)` would look like this: * *

``` strCol,intCol,nullCol id-1,1,null id-2,2,null id-3,3,null ``` * *

IMPORTANT: The format `CSV` is supported only with `EXTERNAL_LINKS` disposition. * *

[Apache Arrow streaming format]: * https://arrow.apache.org/docs/format/Columnar.html#ipc-streaming-format [RFC 4180]: * https://www.rfc-editor.org/rfc/rfc4180 */ @JsonProperty("format") private Format format; /** Schema is an ordered list of column descriptions. */ @JsonProperty("schema") private ResultSchema schema; /** Total number of bytes in the result set. */ @JsonProperty("total_byte_count") private Long totalByteCount; /** Total number of chunks that the result set has been divided into. */ @JsonProperty("total_chunk_count") private Long totalChunkCount; /** Total number of rows in the result set. */ @JsonProperty("total_row_count") private Long totalRowCount; public ResultManifest setChunks(Collection chunks) { this.chunks = chunks; return this; } public Collection getChunks() { return chunks; } public ResultManifest setFormat(Format format) { this.format = format; return this; } public Format getFormat() { return format; } public ResultManifest setSchema(ResultSchema schema) { this.schema = schema; return this; } public ResultSchema getSchema() { return schema; } public ResultManifest setTotalByteCount(Long totalByteCount) { this.totalByteCount = totalByteCount; return this; } public Long getTotalByteCount() { return totalByteCount; } public ResultManifest setTotalChunkCount(Long totalChunkCount) { this.totalChunkCount = totalChunkCount; return this; } public Long getTotalChunkCount() { return totalChunkCount; } public ResultManifest setTotalRowCount(Long totalRowCount) { this.totalRowCount = totalRowCount; return this; } public Long getTotalRowCount() { return totalRowCount; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; ResultManifest that = (ResultManifest) o; return Objects.equals(chunks, that.chunks) && Objects.equals(format, that.format) && Objects.equals(schema, that.schema) && Objects.equals(totalByteCount, that.totalByteCount) && Objects.equals(totalChunkCount, that.totalChunkCount) && Objects.equals(totalRowCount, that.totalRowCount); } @Override public int hashCode() { return Objects.hash(chunks, format, schema, totalByteCount, totalChunkCount, totalRowCount); } @Override public String toString() { return new ToStringer(ResultManifest.class) .add("chunks", chunks) .add("format", format) .add("schema", schema) .add("totalByteCount", totalByteCount) .add("totalChunkCount", totalChunkCount) .add("totalRowCount", totalRowCount) .toString(); } }





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