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support convert spark df to shards with arrow (#5558)
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32 changes: 32 additions & 0 deletions
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scala/common/spark-version/2.0/src/main/scala/org/apache/spark/sql/OrcaArrowUtils.scala
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| /* | ||
| * Copyright 2016 The BigDL Authors. | ||
| * | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql | ||
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| import org.apache.spark.api.java.JavaRDD | ||
| import org.apache.spark.rdd.RDD | ||
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| class OrcaArrowUtils() { | ||
| def orcaToDataFrame(jrdd: JavaRDD[String], schemaString: String, | ||
| sqlContext: SQLContext): DataFrame = { | ||
| null.asInstanceOf[DataFrame] | ||
| } | ||
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| def sparkdfTopdf(sdf: DataFrame, sqlContext: SQLContext, batchSize: Int = -1): RDD[String] = { | ||
| null.asInstanceOf[RDD[String]] | ||
| } | ||
| } |
119 changes: 119 additions & 0 deletions
119
scala/common/spark-version/3.0/src/main/scala/org/apache/spark/sql/OrcaArrowUtils.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,119 @@ | ||
| /* | ||
| * Copyright 2016 The BigDL Authors. | ||
| * | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql | ||
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| import java.io.{DataOutputStream, FileInputStream, FileOutputStream} | ||
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| import org.apache.arrow.vector.VectorSchemaRoot | ||
| import org.apache.arrow.vector.ipc.ArrowStreamWriter | ||
| import org.apache.spark.{SparkEnv, TaskContext} | ||
| import org.apache.spark.api.java.JavaRDD | ||
| import org.apache.spark.rdd.RDD | ||
| import org.apache.spark.sql.api.python.PythonSQLUtils | ||
| import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow} | ||
| import org.apache.spark.sql.execution.arrow.{ArrowConverters, ArrowWriter} | ||
| import org.apache.spark.sql.execution.python.BatchIterator | ||
| import org.apache.spark.sql.types.{DataType, StructType} | ||
| import org.apache.spark.sql.util.ArrowUtils | ||
| import org.apache.spark.util.Utils | ||
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| import org.apache.spark.util.{ShutdownHookManager, Utils} | ||
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| import java.io._ | ||
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| class OrcaArrowUtils() { | ||
| def orcaToDataFrame(jrdd: JavaRDD[String], schemaString: String, | ||
| sqlContext: SQLContext): DataFrame = { | ||
| val schema = DataType.fromJson(schemaString).asInstanceOf[StructType] | ||
| val timeZoneId = sqlContext.sessionState.conf.sessionLocalTimeZone | ||
| val rdd = jrdd.rdd.mapPartitions { iter => | ||
| val context = TaskContext.get() | ||
| val file = iter.next() | ||
| val dir = new File(file) | ||
| ShutdownHookManager.registerShutdownDeleteDir(dir) | ||
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| Utils.tryWithResource(new FileInputStream(file)) { fileStream => | ||
| // Create array to consume iterator so that we can safely close the file | ||
| val batches = ArrowConverters.getBatchesFromStream(fileStream.getChannel) | ||
| ArrowConverters.fromBatchIterator(batches, | ||
| DataType.fromJson(schemaString).asInstanceOf[StructType], timeZoneId, context) | ||
| } | ||
| } | ||
| sqlContext.internalCreateDataFrame(rdd.setName("arrow"), schema) | ||
| } | ||
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| // Below code is adapted from spark, https://github.com/apache/spark/blob/branch-3.1/sql/core/ | ||
| // src/main/scala/org/apache/spark/sql/execution/python/ArrowPythonRunner.scala | ||
| def sparkdfTopdf(sdf: DataFrame, sqlContext: SQLContext, batchSize: Int = -1): RDD[String] = { | ||
| val schemaCaptured = sdf.schema | ||
| val maxRecordsPerBatch = if (batchSize == -1) { | ||
| sqlContext.sessionState.conf.arrowMaxRecordsPerBatch | ||
| } else batchSize | ||
| val timeZoneId = sqlContext.sessionState.conf.sessionLocalTimeZone | ||
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| val schema = sdf.schema | ||
| sdf.rdd.mapPartitions {iter => | ||
| val batchIter = if (maxRecordsPerBatch > 0) { | ||
| new BatchIterator(iter, maxRecordsPerBatch) | ||
| } else Iterator(iter) | ||
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| val arrowSchema = ArrowUtils.toArrowSchema(schema, timeZoneId) | ||
| val allocator = ArrowUtils.rootAllocator.newChildAllocator("ItertoFile", 0, Long.MaxValue) | ||
| val root = VectorSchemaRoot.create(arrowSchema, allocator) | ||
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| val conf = SparkEnv.get.conf | ||
| val sparkFilesDir = | ||
| Utils.createTempDir(Utils.getLocalDir(conf), "arrowCommunicate").getAbsolutePath | ||
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| val filename = sparkFilesDir + "/arrowdata" | ||
| val fos = new FileOutputStream(filename) | ||
| val dataOutput = new DataOutputStream(fos) | ||
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| Utils.tryWithSafeFinally { | ||
| val arrowWriter = ArrowWriter.create(root) | ||
| val writer = new ArrowStreamWriter(root, null, dataOutput) | ||
| writer.start() | ||
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| while (batchIter.hasNext) { | ||
| val nextBatch = batchIter.next() | ||
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| while (nextBatch.hasNext) { | ||
| val nxtIternalRow = CatalystTypeConverters.convertToCatalyst(nextBatch.next()) | ||
| arrowWriter.write(nxtIternalRow.asInstanceOf[InternalRow]) | ||
| } | ||
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| arrowWriter.finish() | ||
| writer.writeBatch() | ||
| arrowWriter.reset() | ||
| } | ||
| writer.end() | ||
| } { | ||
| root.close() | ||
| allocator.close() | ||
| if (dataOutput != null) { | ||
| dataOutput.close() | ||
| } | ||
| if (fos != null) { | ||
| fos.close() | ||
| } | ||
| } | ||
| Iterator(filename) | ||
| } | ||
| } | ||
| } |
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