diff options
author | Marcelo Vanzin <vanzin@cloudera.com> | 2016-09-16 14:02:56 -0700 |
---|---|---|
committer | Yin Huai <yhuai@databricks.com> | 2016-09-16 14:02:56 -0700 |
commit | 39e2bad6a866d27c3ca594d15e574a1da3ee84cc (patch) | |
tree | 7dd042d22e2ffc5fa3d916d92d55a82322892dfc | |
parent | b9323fc9381a09af510f542fd5c86473e029caf6 (diff) | |
download | spark-39e2bad6a866d27c3ca594d15e574a1da3ee84cc.tar.gz spark-39e2bad6a866d27c3ca594d15e574a1da3ee84cc.tar.bz2 spark-39e2bad6a866d27c3ca594d15e574a1da3ee84cc.zip |
[SPARK-17549][SQL] Only collect table size stat in driver for cached relation.
The existing code caches all stats for all columns for each partition
in the driver; for a large relation, this causes extreme memory usage,
which leads to gc hell and application failures.
It seems that only the size in bytes of the data is actually used in the
driver, so instead just colllect that. In executors, the full stats are
still kept, but that's not a big problem; we expect the data to be distributed
and thus not really incur in too much memory pressure in each individual
executor.
There are also potential improvements on the executor side, since the data
being stored currently is very wasteful (e.g. storing boxed types vs.
primitive types for stats). But that's a separate issue.
On a mildly related change, I'm also adding code to catch exceptions in the
code generator since Janino was breaking with the test data I tried this
patch on.
Tested with unit tests and by doing a count a very wide table (20k columns)
with many partitions.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes #15112 from vanzin/SPARK-17549.
3 files changed, 32 insertions, 24 deletions
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala index f982c222af..33b9b804fc 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala @@ -23,6 +23,7 @@ import java.util.{Map => JavaMap} import scala.collection.JavaConverters._ import scala.collection.mutable import scala.collection.mutable.ArrayBuffer +import scala.util.control.NonFatal import com.google.common.cache.{CacheBuilder, CacheLoader} import org.codehaus.janino.{ByteArrayClassLoader, ClassBodyEvaluator, SimpleCompiler} @@ -910,14 +911,19 @@ object CodeGenerator extends Logging { codeAttrField.setAccessible(true) classes.foreach { case (_, classBytes) => CodegenMetrics.METRIC_GENERATED_CLASS_BYTECODE_SIZE.update(classBytes.length) - val cf = new ClassFile(new ByteArrayInputStream(classBytes)) - cf.methodInfos.asScala.foreach { method => - method.getAttributes().foreach { a => - if (a.getClass.getName == codeAttr.getName) { - CodegenMetrics.METRIC_GENERATED_METHOD_BYTECODE_SIZE.update( - codeAttrField.get(a).asInstanceOf[Array[Byte]].length) + try { + val cf = new ClassFile(new ByteArrayInputStream(classBytes)) + cf.methodInfos.asScala.foreach { method => + method.getAttributes().foreach { a => + if (a.getClass.getName == codeAttr.getName) { + CodegenMetrics.METRIC_GENERATED_METHOD_BYTECODE_SIZE.update( + codeAttrField.get(a).asInstanceOf[Array[Byte]].length) + } } } + } catch { + case NonFatal(e) => + logWarning("Error calculating stats of compiled class.", e) } } } diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala index 479934a7af..56bd5c1891 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryRelation.scala @@ -17,8 +17,6 @@ package org.apache.spark.sql.execution.columnar -import scala.collection.JavaConverters._ - import org.apache.commons.lang3.StringUtils import org.apache.spark.network.util.JavaUtils @@ -31,7 +29,7 @@ import org.apache.spark.sql.catalyst.plans.logical import org.apache.spark.sql.catalyst.plans.logical.Statistics import org.apache.spark.sql.execution.SparkPlan import org.apache.spark.storage.StorageLevel -import org.apache.spark.util.CollectionAccumulator +import org.apache.spark.util.LongAccumulator object InMemoryRelation { @@ -63,8 +61,7 @@ case class InMemoryRelation( @transient child: SparkPlan, tableName: Option[String])( @transient var _cachedColumnBuffers: RDD[CachedBatch] = null, - val batchStats: CollectionAccumulator[InternalRow] = - child.sqlContext.sparkContext.collectionAccumulator[InternalRow]) + val batchStats: LongAccumulator = child.sqlContext.sparkContext.longAccumulator) extends logical.LeafNode with MultiInstanceRelation { override protected def innerChildren: Seq[QueryPlan[_]] = Seq(child) @@ -74,21 +71,12 @@ case class InMemoryRelation( @transient val partitionStatistics = new PartitionStatistics(output) override lazy val statistics: Statistics = { - if (batchStats.value.isEmpty) { + if (batchStats.value == 0L) { // Underlying columnar RDD hasn't been materialized, no useful statistics information // available, return the default statistics. Statistics(sizeInBytes = child.sqlContext.conf.defaultSizeInBytes) } else { - // Underlying columnar RDD has been materialized, required information has also been - // collected via the `batchStats` accumulator. - val sizeOfRow: Expression = - BindReferences.bindReference( - output.map(a => partitionStatistics.forAttribute(a).sizeInBytes).reduce(Add), - partitionStatistics.schema) - - val sizeInBytes = - batchStats.value.asScala.map(row => sizeOfRow.eval(row).asInstanceOf[Long]).sum - Statistics(sizeInBytes = sizeInBytes) + Statistics(sizeInBytes = batchStats.value.longValue) } } @@ -139,10 +127,10 @@ case class InMemoryRelation( rowCount += 1 } + batchStats.add(totalSize) + val stats = InternalRow.fromSeq(columnBuilders.map(_.columnStats.collectedStatistics) .flatMap(_.values)) - - batchStats.add(stats) CachedBatch(rowCount, columnBuilders.map { builder => JavaUtils.bufferToArray(builder.build()) }, stats) diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala index 937839644a..0daa29b666 100644 --- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala +++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/InMemoryColumnarQuerySuite.scala @@ -232,4 +232,18 @@ class InMemoryColumnarQuerySuite extends QueryTest with SharedSQLContext { val columnTypes2 = List.fill(length2)(IntegerType) val columnarIterator2 = GenerateColumnAccessor.generate(columnTypes2) } + + test("SPARK-17549: cached table size should be correctly calculated") { + val data = spark.sparkContext.parallelize(1 to 10, 5).toDF() + val plan = spark.sessionState.executePlan(data.logicalPlan).sparkPlan + val cached = InMemoryRelation(true, 5, MEMORY_ONLY, plan, None) + + // Materialize the data. + val expectedAnswer = data.collect() + checkAnswer(cached, expectedAnswer) + + // Check that the right size was calculated. + assert(cached.batchStats.value === expectedAnswer.size * INT.defaultSize) + } + } |