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A table format for huge analytic datasets
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/*
 * Licensed to the Apache Software Foundation (ASF) under one
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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
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package org.apache.iceberg.spark.source;

import org.apache.iceberg.Schema;
import org.apache.iceberg.Table;
import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
import org.apache.iceberg.spark.SparkSchemaUtil;
import org.apache.iceberg.spark.SparkUtil;
import org.apache.iceberg.spark.SparkWriteConf;
import org.apache.iceberg.spark.SparkWriteOptions;
import org.apache.iceberg.types.TypeUtil;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.connector.write.BatchWrite;
import org.apache.spark.sql.connector.write.LogicalWriteInfo;
import org.apache.spark.sql.connector.write.WriteBuilder;
import org.apache.spark.sql.types.StructType;

public class SparkRewriteBuilder implements WriteBuilder {
  private final SparkSession spark;
  private final Table table;
  private final SparkWriteConf writeConf;
  private final LogicalWriteInfo writeInfo;
  private final String fileSetID;
  private final StructType dsSchema;
  private final boolean handleTimestampWithoutZone;

  public SparkRewriteBuilder(SparkSession spark, Table table, LogicalWriteInfo info) {
    this.spark = spark;
    this.table = table;
    this.writeConf = new SparkWriteConf(spark, table, info.options());
    this.writeInfo = info;
    this.fileSetID = info.options().get(SparkWriteOptions.REWRITTEN_FILE_SCAN_TASK_SET_ID);
    this.dsSchema = info.schema();
    this.handleTimestampWithoutZone = writeConf.handleTimestampWithoutZone();
  }

  @Override
  public BatchWrite buildForBatch() {
    Preconditions.checkArgument(handleTimestampWithoutZone || !SparkUtil.hasTimestampWithoutZone(table.schema()),
        SparkUtil.TIMESTAMP_WITHOUT_TIMEZONE_ERROR);

    Schema writeSchema = SparkSchemaUtil.convert(table.schema(), dsSchema);
    TypeUtil.validateWriteSchema(table.schema(), writeSchema, writeConf.checkNullability(), writeConf.checkOrdering());
    SparkUtil.validatePartitionTransforms(table.spec());

    String appId = spark.sparkContext().applicationId();

    SparkWrite write = new SparkWrite(spark, table, writeConf, writeInfo, appId, writeSchema, dsSchema);
    return write.asRewrite(fileSetID);
  }
}