[SPARK-6075] Fix bug in that caused lost accumulator updates: do not store WeakReferences in localAccums map
This fixes a non-deterministic bug introduced in #4021 that could cause tasks' accumulator updates to be lost. The problem is that `localAccums` should not hold weak references: after the task finishes running there won't be any strong references to these local accumulators, so they can get garbage-collected before the executor reads the `localAccums` map. We don't need weak references here anyways, since this map is cleared at the end of each task. Author: Josh Rosen <joshrosen@databricks.com> Closes #4835 from JoshRosen/SPARK-6075 and squashes the following commits: 4f4b5b2 [Josh Rosen] Remove defensive assertions that caused test failures in code unrelated to this change 120c7b0 [Josh Rosen] [SPARK-6075] Do not store WeakReferences in localAccums map
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@ -280,15 +280,24 @@ object AccumulatorParam {
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// TODO: The multi-thread support in accumulators is kind of lame; check
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// if there's a more intuitive way of doing it right
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private[spark] object Accumulators {
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// Store a WeakReference instead of a StrongReference because this way accumulators can be
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// appropriately garbage collected during long-running jobs and release memory
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type WeakAcc = WeakReference[Accumulable[_, _]]
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val originals = Map[Long, WeakAcc]()
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val localAccums = new ThreadLocal[Map[Long, WeakAcc]]() {
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override protected def initialValue() = Map[Long, WeakAcc]()
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private[spark] object Accumulators extends Logging {
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/**
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* This global map holds the original accumulator objects that are created on the driver.
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* It keeps weak references to these objects so that accumulators can be garbage-collected
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* once the RDDs and user-code that reference them are cleaned up.
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*/
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val originals = Map[Long, WeakReference[Accumulable[_, _]]]()
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/**
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* This thread-local map holds per-task copies of accumulators; it is used to collect the set
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* of accumulator updates to send back to the driver when tasks complete. After tasks complete,
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* this map is cleared by `Accumulators.clear()` (see Executor.scala).
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*/
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private val localAccums = new ThreadLocal[Map[Long, Accumulable[_, _]]]() {
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override protected def initialValue() = Map[Long, Accumulable[_, _]]()
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}
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var lastId: Long = 0
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private var lastId: Long = 0
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def newId(): Long = synchronized {
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lastId += 1
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@ -297,16 +306,16 @@ private[spark] object Accumulators {
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def register(a: Accumulable[_, _], original: Boolean): Unit = synchronized {
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if (original) {
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originals(a.id) = new WeakAcc(a)
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originals(a.id) = new WeakReference[Accumulable[_, _]](a)
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} else {
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localAccums.get()(a.id) = new WeakAcc(a)
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localAccums.get()(a.id) = a
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}
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}
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// Clear the local (non-original) accumulators for the current thread
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def clear() {
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synchronized {
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localAccums.get.clear
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localAccums.get.clear()
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}
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}
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@ -320,12 +329,7 @@ private[spark] object Accumulators {
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def values: Map[Long, Any] = synchronized {
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val ret = Map[Long, Any]()
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for ((id, accum) <- localAccums.get) {
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// Since we are now storing weak references, we must check whether the underlying data
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// is valid.
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ret(id) = accum.get match {
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case Some(values) => values.localValue
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case None => None
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}
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ret(id) = accum.localValue
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}
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return ret
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}
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@ -341,6 +345,8 @@ private[spark] object Accumulators {
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case None =>
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throw new IllegalAccessError("Attempted to access garbage collected Accumulator.")
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}
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} else {
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logWarning(s"Ignoring accumulator update for unknown accumulator id $id")
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}
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}
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}
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