mridulm commented on a change in pull request #35504:
URL: https://github.com/apache/spark/pull/35504#discussion_r808318065
##########
File path: core/src/main/scala/org/apache/spark/internal/config/package.scala
##########
@@ -105,6 +105,17 @@ package object config {
.bytesConf(ByteUnit.MiB)
.createOptional
+ private[spark] val DRIVER_MEMORY_OVERHEAD_FACTOR =
+ ConfigBuilder("spark.driver.memoryOverheadFactor")
+ .doc("The amount of non-heap memory to be allocated per driver in
cluster mode, " +
+ "as a fraction of total driver memory. If memory overhead is specified
directly, " +
+ "it takes precedence.")
Review comment:
We can use the current description for
`spark.kubernetes.memoryOverheadFactor` in `docs/running-on-kubernetes.md` as
template (instead of non-heap memory).
##########
File path: core/src/main/scala/org/apache/spark/internal/config/package.scala
##########
@@ -105,6 +105,17 @@ package object config {
.bytesConf(ByteUnit.MiB)
.createOptional
+ private[spark] val DRIVER_MEMORY_OVERHEAD_FACTOR =
+ ConfigBuilder("spark.driver.memoryOverheadFactor")
+ .doc("The amount of non-heap memory to be allocated per driver in
cluster mode, " +
+ "as a fraction of total driver memory. If memory overhead is specified
directly, " +
+ "it takes precedence.")
+ .version("3.3.0")
+ .doubleConf
+ .checkValue(factor => factor >= 0 && factor < 1,
+ "Ensure that memory overhead is a double between 0 --> 1.0")
Review comment:
`factor > 0` would should be sufficient, we can have cases where
overhead is higher than jvm Xmx.
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/Config.scala
##########
@@ -490,7 +490,7 @@ private[spark] object Config extends Logging {
.doubleConf
.checkValue(mem_overhead => mem_overhead >= 0,
"Ensure that memory overhead is non-negative")
- .createWithDefault(0.1)
+ .createOptional
Review comment:
Keep default (see below).
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicExecutorFeatureStep.scala
##########
@@ -59,11 +59,13 @@ private[spark] class BasicExecutorFeatureStep(
private val isDefaultProfile = resourceProfile.id ==
ResourceProfile.DEFAULT_RESOURCE_PROFILE_ID
private val isPythonApp = kubernetesConf.get(APP_RESOURCE_TYPE) ==
Some(APP_RESOURCE_TYPE_PYTHON)
private val disableConfigMap =
kubernetesConf.get(KUBERNETES_EXECUTOR_DISABLE_CONFIGMAP)
+ private val memoryOverheadFactor = kubernetesConf.get(MEMORY_OVERHEAD_FACTOR)
+ .getOrElse(kubernetesConf.get(EXECUTOR_MEMORY_OVERHEAD_FACTOR))
Review comment:
Same as in `BasicDriverFeatureStep` - change order of config query.
##########
File path:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
##########
@@ -85,6 +84,8 @@ private[spark] class Client(
private var appMaster: ApplicationMaster = _
private var stagingDirPath: Path = _
+ private val amMemoryOverheadFactor =
sparkConf.get(DRIVER_MEMORY_OVERHEAD_FACTOR)
Review comment:
Do this only when in cluster mode - in client mode, AM is not the driver.
##########
File path:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/BasicDriverFeatureStep.scala
##########
@@ -53,18 +53,20 @@ private[spark] class BasicDriverFeatureStep(conf:
KubernetesDriverConf)
// Memory settings
private val driverMemoryMiB = conf.get(DRIVER_MEMORY)
+ private val memoryOverheadFactor = conf.get(MEMORY_OVERHEAD_FACTOR)
+ .getOrElse(conf.get(DRIVER_MEMORY_OVERHEAD_FACTOR))
Review comment:
Use `DRIVER_MEMORY_OVERHEAD_FACTOR` and fallback to
`MEMORY_OVERHEAD_FACTOR` when missing.
We probably need to use `get(key, defaultValue)` method here though.
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