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support InsertIntoHiveDirCommand in parquet write
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<?xml version="1.0" encoding="UTF-8"?> | ||
<!-- | ||
Licensed 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. | ||
--> | ||
<project xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
xmlns="http://maven.apache.org/POM/4.0.0" | ||
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | ||
<modelVersion>4.0.0</modelVersion> | ||
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<parent> | ||
<groupId>io.glutenproject</groupId> | ||
<artifactId>spark-sql-columnar-shims</artifactId> | ||
<version>0.5.0-SNAPSHOT</version> | ||
<relativePath>../pom.xml</relativePath> | ||
</parent> | ||
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<artifactId>spark-sql-columnar-shims-write</artifactId> | ||
<name>Gluten Shims Write</name> | ||
<packaging>jar</packaging> | ||
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<dependencies> | ||
<dependency> | ||
<groupId>org.apache.spark</groupId> | ||
<artifactId>spark-sql_${scala.binary.version}</artifactId> | ||
<version>${spark.version}</version> | ||
<scope>provided</scope> | ||
</dependency> | ||
<dependency> | ||
<groupId>org.apache.spark</groupId> | ||
<artifactId>spark-hive_${scala.binary.version}</artifactId> | ||
<version>${spark32.version}</version> | ||
<scope>provided</scope> | ||
</dependency> | ||
<dependency> | ||
<groupId>io.glutenproject</groupId> | ||
<artifactId>backends-velox</artifactId> | ||
<version>${project.version}</version> | ||
<scope>provided</scope> | ||
</dependency> | ||
</dependencies> | ||
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<build> | ||
<plugins> | ||
<plugin> | ||
<groupId>org.apache.maven.plugins</groupId> | ||
<artifactId>maven-checkstyle-plugin</artifactId> | ||
</plugin> | ||
<plugin> | ||
<groupId>org.scalastyle</groupId> | ||
<artifactId>scalastyle-maven-plugin</artifactId> | ||
</plugin> | ||
<plugin> | ||
<groupId>com.diffplug.spotless</groupId> | ||
<artifactId>spotless-maven-plugin</artifactId> | ||
</plugin> | ||
<plugin> | ||
<groupId>net.alchim31.maven</groupId> | ||
<artifactId>scala-maven-plugin</artifactId> | ||
</plugin> | ||
<plugin> | ||
<groupId>org.apache.maven.plugins</groupId> | ||
<artifactId>maven-compiler-plugin</artifactId> | ||
</plugin> | ||
</plugins> | ||
</build> | ||
</project> |
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136
shims/write/src/main/scala/org/apache/spark/sql/hive/execution/HiveFileFormat.scala
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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.hive.execution | ||
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import io.glutenproject.columnarbatch.{ArrowColumnarBatches, GlutenIndicatorVector} | ||
import io.glutenproject.execution.FakeRow | ||
import io.glutenproject.memory.arrowalloc.ArrowBufferAllocators | ||
import io.glutenproject.spark.sql.execution.datasources.velox.DatasourceJniWrapper | ||
import io.glutenproject.utils.GlutenArrowAbiUtil | ||
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import org.apache.spark.internal.Logging | ||
import org.apache.spark.sql.SparkSession | ||
import org.apache.spark.sql.catalyst.InternalRow | ||
import org.apache.spark.sql.errors.QueryExecutionErrors | ||
import org.apache.spark.sql.execution.datasources.{FileFormat, OutputWriter, OutputWriterFactory, VeloxWriteQueue} | ||
import org.apache.spark.sql.hive.HiveShim.{ShimFileSinkDesc => FileSinkDesc} | ||
import org.apache.spark.sql.internal.SQLConf | ||
import org.apache.spark.sql.sources.DataSourceRegister | ||
import org.apache.spark.sql.types.StructType | ||
import org.apache.spark.sql.utils.SparkArrowUtil | ||
import org.apache.spark.util.SerializableJobConf | ||
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import org.apache.arrow.c.ArrowSchema | ||
import org.apache.hadoop.fs.FileStatus | ||
import org.apache.hadoop.mapred.JobConf | ||
import org.apache.hadoop.mapreduce.{Job, TaskAttemptContext} | ||
import org.apache.parquet.hadoop.codec.CodecConfig | ||
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import java.io.IOException | ||
import java.net.URI | ||
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/** | ||
* `FileFormat` for writing Hive tables. | ||
* | ||
* TODO: implement the read logic. | ||
*/ | ||
class HiveFileFormat(fileSinkConf: FileSinkDesc) | ||
extends FileFormat | ||
with DataSourceRegister | ||
with Logging { | ||
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def this() = this(null) | ||
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override def shortName(): String = "hive" | ||
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override def inferSchema( | ||
sparkSession: SparkSession, | ||
options: Map[String, String], | ||
files: Seq[FileStatus]): Option[StructType] = { | ||
throw QueryExecutionErrors.inferSchemaUnsupportedForHiveError() | ||
} | ||
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override def prepareWrite( | ||
sparkSession: SparkSession, | ||
job: Job, | ||
options: Map[String, String], | ||
dataSchema: StructType): OutputWriterFactory = { | ||
new OutputWriterFactory { | ||
override def getFileExtension(context: TaskAttemptContext): String = { | ||
CodecConfig.from(context).getCodec.getExtension + ".parquet" | ||
} | ||
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override def newInstance( | ||
path: String, | ||
dataSchema: StructType, | ||
context: TaskAttemptContext): OutputWriter = { | ||
val originPath = path | ||
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URI.create(originPath) // validate uri | ||
val matcher = VeloxWriteQueue.TAILING_FILENAME_REGEX.matcher(originPath) | ||
if (!matcher.matches()) { | ||
throw new IllegalArgumentException("illegal out put file uri: " + originPath) | ||
} | ||
val fileName = matcher.group(2) | ||
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val arrowSchema = SparkArrowUtil.toArrowSchema(dataSchema, SQLConf.get.sessionLocalTimeZone) | ||
val cSchema = ArrowSchema.allocateNew(ArrowBufferAllocators.contextInstance()) | ||
var instanceId = -1L | ||
val datasourceJniWrapper = new DatasourceJniWrapper() | ||
val allocator = ArrowBufferAllocators.contextInstance() | ||
try { | ||
GlutenArrowAbiUtil.exportSchema(allocator, arrowSchema, cSchema) | ||
instanceId = | ||
datasourceJniWrapper.nativeInitDatasource(originPath, fileName, cSchema.memoryAddress()) | ||
} catch { | ||
case e: IOException => | ||
throw new RuntimeException(e) | ||
} finally { | ||
cSchema.close() | ||
} | ||
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val writeQueue = | ||
new VeloxWriteQueue(instanceId, arrowSchema, allocator, datasourceJniWrapper, originPath) | ||
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new OutputWriter { | ||
override def write(row: InternalRow): Unit = { | ||
val batch = row.asInstanceOf[FakeRow].batch | ||
if (batch.column(0).isInstanceOf[GlutenIndicatorVector]) { | ||
val giv = batch.column(0).asInstanceOf[GlutenIndicatorVector] | ||
giv.retain() | ||
writeQueue.enqueue(batch) | ||
} else { | ||
val offloaded = | ||
ArrowColumnarBatches.ensureOffloaded(ArrowBufferAllocators.contextInstance, batch) | ||
writeQueue.enqueue(offloaded) | ||
} | ||
} | ||
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override def close(): Unit = { | ||
writeQueue.close() | ||
datasourceJniWrapper.close(instanceId) | ||
} | ||
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// Do NOT add override keyword for compatibility on spark 3.1. | ||
def path(): String = { | ||
originPath | ||
} | ||
} | ||
} | ||
} | ||
} | ||
} |