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support copyToTable on call
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苏承祥 committed Jul 6, 2022
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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.spark.sql.hudi.command.procedures

import org.apache.hudi.DataSourceReadOptions
import org.apache.spark.internal.Logging
import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType}
import org.apache.spark.sql.{Row, SaveMode}

import java.util.function.Supplier

class CopyToTableProcedure extends BaseProcedure with ProcedureBuilder with Logging {


private val PARAMETERS = Array[ProcedureParameter](
ProcedureParameter.required(0, "table", DataTypes.StringType, None),
ProcedureParameter.optional(1, "query_type", DataTypes.StringType, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL),
ProcedureParameter.required(2, "new_table", DataTypes.StringType, None),
ProcedureParameter.optional(3, "begin_instance_time", DataTypes.StringType, ""),
ProcedureParameter.optional(4, "end_instance_time", DataTypes.StringType, ""),
ProcedureParameter.optional(5, "as_of_instant", DataTypes.StringType, ""),
ProcedureParameter.optional(6, "save_mode", DataTypes.StringType, "overwrite")
)

private val OUTPUT_TYPE = new StructType(Array[StructField](
StructField("status", DataTypes.IntegerType, nullable = true, Metadata.empty))
)

def parameters: Array[ProcedureParameter] = PARAMETERS

def outputType: StructType = OUTPUT_TYPE

override def call(args: ProcedureArgs): Seq[Row] = {
super.checkArgs(PARAMETERS, args)

val tableName = getArgValueOrDefault(args, PARAMETERS(0))
val queryType = getArgValueOrDefault(args, PARAMETERS(1)).get.asInstanceOf[String]
val newTableName = getArgValueOrDefault(args, PARAMETERS(2)).get.asInstanceOf[String]
val beginInstance = getArgValueOrDefault(args, PARAMETERS(3)).get.asInstanceOf[String]
val endInstance = getArgValueOrDefault(args, PARAMETERS(4)).get.asInstanceOf[String]
val asOfInstant = getArgValueOrDefault(args, PARAMETERS(5)).get.asInstanceOf[String]
val saveModeStr = getArgValueOrDefault(args, PARAMETERS(6)).get.asInstanceOf[String]

assert(saveModeStr.nonEmpty, "save_mode(append,overwrite) can not be null.")

val saveMode: Any = saveModeStr.toLowerCase match {
case "overwrite" => SaveMode.Overwrite
case "append" => SaveMode.Append
case _ => assert(assertion = false, s"save_mode not support $saveModeStr.")
}


val tablePath = getBasePath(tableName)

val sourceDataFrame = queryType match {
case DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL => if (asOfInstant.nonEmpty) {
sparkSession.read
.format("org.apache.hudi")
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL)
.option(DataSourceReadOptions.TIME_TRAVEL_AS_OF_INSTANT.key, asOfInstant)
.load(tablePath)
} else {
sparkSession.read
.format("org.apache.hudi")
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL)
.load(tablePath)
}
case DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL =>
assert(beginInstance.nonEmpty && endInstance.nonEmpty, "when the query_type is incremental, begin_instance_time and end_instance_time can not be null.")
sparkSession.read
.format("org.apache.hudi")
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_INCREMENTAL_OPT_VAL)
.option(DataSourceReadOptions.BEGIN_INSTANTTIME.key, beginInstance)
.option(DataSourceReadOptions.END_INSTANTTIME.key, endInstance)
.load(tablePath)
case DataSourceReadOptions.QUERY_TYPE_READ_OPTIMIZED_OPT_VAL =>
sparkSession.read
.format("org.apache.hudi")
.option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_READ_OPTIMIZED_OPT_VAL)
.load(tablePath)
}
if (sparkSession.catalog.tableExists(newTableName)) {
val schema = sparkSession.read.table(newTableName).schema
val selectColumns = schema.fields.toStream.map(_.name)
sourceDataFrame.selectExpr(selectColumns: _*)
.write
.mode(saveMode.toString)
.saveAsTable(newTableName)
} else {
sourceDataFrame.write
.mode(saveMode.toString)
.saveAsTable(newTableName)
}


Seq(Row(0))
}

override def build = new CopyToTableProcedure()
}

object CopyToTableProcedure {
val NAME = "copy_to_table"

def builder: Supplier[ProcedureBuilder] = new Supplier[ProcedureBuilder] {
override def get() = new CopyToTableProcedure()
}
}





Original file line number Diff line number Diff line change
Expand Up @@ -73,6 +73,7 @@ object HoodieProcedures {
mapBuilder.put(MetadataInitProcedure.NAME, MetadataInitProcedure.builder)
mapBuilder.put(ShowMetadataStatsProcedure.NAME, ShowMetadataStatsProcedure.builder)
mapBuilder.put(ValidateMetadataFilesProcedure.NAME, ValidateMetadataFilesProcedure.builder)
mapBuilder.put(CopyToTableProcedure.NAME, CopyToTableProcedure.builder)
mapBuilder.build
}
}
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