zhztheplayer commented on code in PR #8127: URL: https://github.com/apache/incubator-gluten/pull/8127#discussion_r1898537734
########## backends-velox/src/main/scala/org/apache/spark/sql/execution/unsafe/UnsafeColumnarBuildSideRelation.scala: ########## @@ -0,0 +1,312 @@ +/* + * 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.execution.unsafe + +import org.apache.gluten.backendsapi.BackendsApiManager +import org.apache.gluten.columnarbatch.ColumnarBatches +import org.apache.gluten.iterator.Iterators +import org.apache.gluten.memory.arrow.alloc.ArrowBufferAllocators +import org.apache.gluten.runtime.Runtimes +import org.apache.gluten.sql.shims.SparkShimLoader +import org.apache.gluten.utils.ArrowAbiUtil +import org.apache.gluten.vectorized.{ColumnarBatchSerializerJniWrapper, NativeColumnarToRowJniWrapper} + +import org.apache.spark.{SparkEnv, TaskContext} +import org.apache.spark.internal.Logging +import org.apache.spark.memory.{TaskMemoryManager, UnifiedMemoryManager} +import org.apache.spark.sql.catalyst.InternalRow +import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression, UnsafeProjection, UnsafeRow} +import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, IdentityBroadcastMode} +import org.apache.spark.sql.execution.joins.{BuildSideRelation, HashedRelationBroadcastMode} +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.utils.SparkArrowUtil +import org.apache.spark.sql.vectorized.ColumnarBatch +import org.apache.spark.task.TaskResources +import org.apache.spark.util.Utils + +import com.esotericsoftware.kryo.{Kryo, KryoSerializable} +import com.esotericsoftware.kryo.io.{Input, Output} +import org.apache.arrow.c.ArrowSchema + +import java.io.{Externalizable, ObjectInput, ObjectOutput} + +import scala.collection.JavaConverters.asScalaIteratorConverter + +/** + * UnsafeColumnarBuildSideRelation should backed by offheap to avoid on-heap oom. Almost the same as + * ColumnarBuildSideRelation, we should remove ColumnarBuildSideRelation when + * UnsafeColumnarBuildSideRelation get matured. + * + * @param output + * @param batches + */ +case class UnsafeColumnarBuildSideRelation( + private var output: Seq[Attribute], + private var batches: UnsafeBytesBufferArray, + var mode: BroadcastMode) + extends BuildSideRelation + with Externalizable + with Logging + with KryoSerializable { + + // Needed for serialization + def this() = { + this(null, null.asInstanceOf[UnsafeBytesBufferArray], null) + } + + def this(output: Seq[Attribute], bytesBufferArray: Array[Array[Byte]], mode: BroadcastMode) = { + // only used in driver side when broadcast the whole batches + this( + output, + UnsafeBytesBufferArray( + bytesBufferArray.length, + bytesBufferArray.map(_.length), + bytesBufferArray.map(_.length.toLong).sum, + TaskContext.get().taskMemoryManager + ), + mode + ) + val batchesSize = bytesBufferArray.length + for (i <- 0 until batchesSize) { + val length = bytesBufferArray(i).length + log.debug(s"this $i--- $length") + batches.putBytesBuffer(i, bytesBufferArray(i)) + } + } + + // should only be used on driver to serialize this relation + override def writeExternal(out: ObjectOutput): Unit = Utils.tryOrIOException { + out.writeObject(output) + out.writeObject(mode) + out.writeInt(batches.arraySize) + out.writeObject(batches.bytesBufferLengths) + out.writeLong(batches.totalBytes) + for (i <- 0 until batches.arraySize) { + val bytes = batches.getBytesBuffer(i) + out.write(bytes) + log.debug(s"writeExternal index $i with length ${bytes.length}") + } + } + + // should only be used on driver to serialize this relation + override def write(kryo: Kryo, out: Output): Unit = Utils.tryOrIOException { + kryo.writeObject(out, output.toList) + kryo.writeObject(out, mode) + out.writeInt(batches.arraySize) + kryo.writeObject(out, batches.bytesBufferLengths) + out.writeLong(batches.totalBytes) + for (i <- 0 until batches.arraySize) { + val bytes = batches.getBytesBuffer(i) + out.write(bytes) + log.debug(s"write index $i with length ${bytes.length}") + } + } + + // should only be used on executor to deserialize this relation + override def readExternal(in: ObjectInput): Unit = Utils.tryOrIOException { + output = in.readObject().asInstanceOf[Seq[Attribute]] + mode = in.readObject().asInstanceOf[BroadcastMode] + val totalArraySize = in.readInt() + val bytesBufferLengths = in.readObject().asInstanceOf[Array[Int]] + val totalBytes = in.readLong() + + val taskMemoryManager = new TaskMemoryManager( + new UnifiedMemoryManager(SparkEnv.get.conf, Long.MaxValue, Long.MaxValue / 2, 1), + 0) Review Comment: Thank you for the thoughtful insights. More or less, the idea looks very to the solution CH backend is using. In case you happend to miss that one, could refer to code starting from [here](https://github.com/apache/incubator-gluten/blob/main/backends-clickhouse/src/main/scala/org/apache/spark/rpc/GlutenDriverEndpoint.scala). Looks like feasible to me though there are 2 limitations coming out from my mind with the solution: 1. The GC timing of driver-side variable is still uncertain 2. What if the driver-side variable is GC-ed, while executor-side variable is still in use? (Perhaps, set driver-side variable to null manually, immediately after broadcasted to testify) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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