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new f8fa564 [SPARK-27192][CORE] spark.task.cpus should be less or equal
than spark.executor.cores
f8fa564 is described below
commit f8fa564dec10d46f90b38fa58291a8ad116400c5
Author: liulijia <liutang...@yeah.net>
AuthorDate: Sat Mar 30 12:38:05 2019 -0500
[SPARK-27192][CORE] spark.task.cpus should be less or equal than
spark.executor.cores
## What changes were proposed in this pull request?
spark.task.cpus should be less or equal than spark.executor.cores when use
static executor allocation
## How was this patch tested?
manual
Closes #24131 from liutang123/SPARK-27192.
Authored-by: liulijia <liutang...@yeah.net>
Signed-off-by: Sean Owen <sean.o...@databricks.com>
---
.../apache/spark/ExecutorAllocationManager.scala | 3 ---
.../main/scala/org/apache/spark/SparkConf.scala | 10 ----------
.../main/scala/org/apache/spark/SparkContext.scala | 22 ++++++++++++++++++++++
.../scala/org/apache/spark/SparkConfSuite.scala | 7 -------
.../scala/org/apache/spark/SparkContextSuite.scala | 21 +++++++++++++++++++++
5 files changed, 43 insertions(+), 20 deletions(-)
diff --git
a/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
b/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
index 60d0404..6fade10 100644
--- a/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
+++ b/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
@@ -222,9 +222,6 @@ private[spark] class ExecutorAllocationManager(
throw new SparkException("Dynamic allocation of executors requires the
external " +
"shuffle service. You may enable this through
spark.shuffle.service.enabled.")
}
- if (tasksPerExecutorForFullParallelism == 0) {
- throw new SparkException(s"${EXECUTOR_CORES.key} must not be <
${CPUS_PER_TASK.key}.")
- }
if (executorAllocationRatio > 1.0 || executorAllocationRatio <= 0.0) {
throw new SparkException(
diff --git a/core/src/main/scala/org/apache/spark/SparkConf.scala
b/core/src/main/scala/org/apache/spark/SparkConf.scala
index 7050396..30d8aa4 100644
--- a/core/src/main/scala/org/apache/spark/SparkConf.scala
+++ b/core/src/main/scala/org/apache/spark/SparkConf.scala
@@ -577,16 +577,6 @@ class SparkConf(loadDefaults: Boolean) extends Cloneable
with Logging with Seria
}
}
- if (contains(EXECUTOR_CORES) && contains(CPUS_PER_TASK)) {
- val executorCores = get(EXECUTOR_CORES)
- val taskCpus = get(CPUS_PER_TASK)
-
- if (executorCores < taskCpus) {
- throw new SparkException(
- s"${EXECUTOR_CORES.key} must not be less than ${CPUS_PER_TASK.key}.")
- }
- }
-
val encryptionEnabled = get(NETWORK_CRYPTO_ENABLED) ||
get(SASL_ENCRYPTION_ENABLED)
require(!encryptionEnabled || get(NETWORK_AUTH_ENABLED),
s"${NETWORK_AUTH_ENABLED.key} must be enabled when enabling encryption.")
diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala
b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 4abb18d..7160466 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -2665,8 +2665,25 @@ object SparkContext extends Logging {
// When running locally, don't try to re-execute tasks on failure.
val MAX_LOCAL_TASK_FAILURES = 1
+ // SPARK-26340: Ensure that executor's core num meets at least one task
requirement.
+ def checkCpusPerTask(
+ executorCoreNum: Int = sc.conf.get(EXECUTOR_CORES),
+ clusterMode: Boolean = true): Unit = {
+ val cpusPerTask = sc.conf.get(CPUS_PER_TASK)
+ if (executorCoreNum < cpusPerTask) {
+ val message = if (clusterMode) {
+ s"${CPUS_PER_TASK.key} must be <= ${EXECUTOR_CORES.key} when run on
$master."
+ } else {
+ s"Only $executorCoreNum cores available per executor when run on
$master," +
+ s" and ${CPUS_PER_TASK.key} must be <= it."
+ }
+ throw new SparkException(message)
+ }
+ }
+
master match {
case "local" =>
+ checkCpusPerTask(1, clusterMode = false)
val scheduler = new TaskSchedulerImpl(sc, MAX_LOCAL_TASK_FAILURES,
isLocal = true)
val backend = new LocalSchedulerBackend(sc.getConf, scheduler, 1)
scheduler.initialize(backend)
@@ -2679,6 +2696,7 @@ object SparkContext extends Logging {
if (threadCount <= 0) {
throw new SparkException(s"Asked to run locally with $threadCount
threads")
}
+ checkCpusPerTask(threadCount, clusterMode = false)
val scheduler = new TaskSchedulerImpl(sc, MAX_LOCAL_TASK_FAILURES,
isLocal = true)
val backend = new LocalSchedulerBackend(sc.getConf, scheduler,
threadCount)
scheduler.initialize(backend)
@@ -2689,12 +2707,14 @@ object SparkContext extends Logging {
// local[*, M] means the number of cores on the computer with M
failures
// local[N, M] means exactly N threads with M failures
val threadCount = if (threads == "*") localCpuCount else threads.toInt
+ checkCpusPerTask(threadCount, clusterMode = false)
val scheduler = new TaskSchedulerImpl(sc, maxFailures.toInt, isLocal =
true)
val backend = new LocalSchedulerBackend(sc.getConf, scheduler,
threadCount)
scheduler.initialize(backend)
(backend, scheduler)
case SPARK_REGEX(sparkUrl) =>
+ checkCpusPerTask()
val scheduler = new TaskSchedulerImpl(sc)
val masterUrls = sparkUrl.split(",").map("spark://" + _)
val backend = new StandaloneSchedulerBackend(scheduler, sc, masterUrls)
@@ -2702,6 +2722,7 @@ object SparkContext extends Logging {
(backend, scheduler)
case LOCAL_CLUSTER_REGEX(numSlaves, coresPerSlave, memoryPerSlave) =>
+ checkCpusPerTask()
// Check to make sure memory requested <= memoryPerSlave. Otherwise
Spark will just hang.
val memoryPerSlaveInt = memoryPerSlave.toInt
if (sc.executorMemory > memoryPerSlaveInt) {
@@ -2722,6 +2743,7 @@ object SparkContext extends Logging {
(backend, scheduler)
case masterUrl =>
+ checkCpusPerTask()
val cm = getClusterManager(masterUrl) match {
case Some(clusterMgr) => clusterMgr
case None => throw new SparkException("Could not parse Master URL:
'" + master + "'")
diff --git a/core/src/test/scala/org/apache/spark/SparkConfSuite.scala
b/core/src/test/scala/org/apache/spark/SparkConfSuite.scala
index 5ca4f9c..8a57b90 100644
--- a/core/src/test/scala/org/apache/spark/SparkConfSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkConfSuite.scala
@@ -140,13 +140,6 @@ class SparkConfSuite extends SparkFunSuite with
LocalSparkContext with ResetSyst
assert(sc.appName === "My other app")
}
- test("creating SparkContext with cpus per tasks bigger than cores per
executors") {
- val conf = new SparkConf(false)
- .set(EXECUTOR_CORES, 1)
- .set(CPUS_PER_TASK, 2)
- intercept[SparkException] { sc = new SparkContext(conf) }
- }
-
test("nested property names") {
// This wasn't supported by some external conf parsing libraries
System.setProperty("spark.test.a", "a")
diff --git a/core/src/test/scala/org/apache/spark/SparkContextSuite.scala
b/core/src/test/scala/org/apache/spark/SparkContextSuite.scala
index 7a16f7b..3490eaf 100644
--- a/core/src/test/scala/org/apache/spark/SparkContextSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkContextSuite.scala
@@ -710,6 +710,27 @@ class SparkContextSuite extends SparkFunSuite with
LocalSparkContext with Eventu
assert(runningTaskIds.isEmpty)
}
}
+
+ test(s"Avoid setting ${CPUS_PER_TASK.key} unreasonably (SPARK-27192)") {
+ val FAIL_REASON = s"${CPUS_PER_TASK.key} must be <="
+ Seq(
+ ("local", 2, None),
+ ("local[2]", 3, None),
+ ("local[2, 1]", 3, None),
+ ("spark://test-spark-cluster", 2, Option(1)),
+ ("local-cluster[1, 1, 1000]", 2, Option(1)),
+ ("yarn", 2, Option(1))
+ ).foreach { case (master, cpusPerTask, executorCores) =>
+ val conf = new SparkConf()
+ conf.set(CPUS_PER_TASK, cpusPerTask)
+ executorCores.map(executorCores => conf.set(EXECUTOR_CORES,
executorCores))
+ val ex = intercept[SparkException] {
+ sc = new SparkContext(master, "test", conf)
+ }
+ assert(ex.getMessage.contains(FAIL_REASON))
+ resetSparkContext()
+ }
+ }
}
object SparkContextSuite {
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