[jira] [Assigned] (SPARK-23307) Spark UI should sort jobs/stages with the completed timestamp before cleaning up them
[
https://issues.apache.org/jira/browse/SPARK-23307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-23307:
Assignee: Shixiong Zhu (was: Apache Spark)
> Spark UI should sort jobs/stages with the completed timestamp before cleaning
> up them
> -
>
> Key: SPARK-23307
> URL: https://issues.apache.org/jira/browse/SPARK-23307
> Project: Spark
> Issue Type: Bug
> Components: Web UI
>Affects Versions: 2.3.0
>Reporter: Shixiong Zhu
>Assignee: Shixiong Zhu
>Priority: Blocker
>
> When you have a long running job, it may be deleted from UI quickly when it
> completes, if you happen to run a small job after it. It's pretty annoying
> when you run lots of jobs in the same driver concurrently (e.g., running
> multiple Structured Streaming queries). We should sort jobs/stages with the
> completed timestamp before cleaning up them.
> In 2.2, Spark has a separated buffer for completed jobs/stages, so it doesn't
> need to sort the jobs/stages.
> What's the behavior I expect:
> Set "spark.ui.retainedJobs" to 10 and run the following codes, job 0 should
> be kept in the Spark UI.
>
> {code:java}
> new Thread() {
> override def run() {
> // job 0
> sc.makeRDD(1 to 1, 1).foreach { i =>
> Thread.sleep(1)
> }
> }
> }.start()
> Thread.sleep(1000)
> for (_ <- 1 to 20) {
> new Thread() {
> override def run() {
> sc.makeRDD(1 to 1, 1).foreach { i =>
> }
> }
> }.start()
> }
> Thread.sleep(15000)
> sc.makeRDD(1 to 1, 1).foreach { i =>
> }
> {code}
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[jira] [Assigned] (SPARK-23307) Spark UI should sort jobs/stages with the completed timestamp before cleaning up them
[
https://issues.apache.org/jira/browse/SPARK-23307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-23307:
Assignee: Apache Spark (was: Shixiong Zhu)
> Spark UI should sort jobs/stages with the completed timestamp before cleaning
> up them
> -
>
> Key: SPARK-23307
> URL: https://issues.apache.org/jira/browse/SPARK-23307
> Project: Spark
> Issue Type: Bug
> Components: Web UI
>Affects Versions: 2.3.0
>Reporter: Shixiong Zhu
>Assignee: Apache Spark
>Priority: Blocker
>
> When you have a long running job, it may be deleted from UI quickly when it
> completes, if you happen to run a small job after it. It's pretty annoying
> when you run lots of jobs in the same driver concurrently (e.g., running
> multiple Structured Streaming queries). We should sort jobs/stages with the
> completed timestamp before cleaning up them.
> In 2.2, Spark has a separated buffer for completed jobs/stages, so it doesn't
> need to sort the jobs/stages.
> What's the behavior I expect:
> Set "spark.ui.retainedJobs" to 10 and run the following codes, job 0 should
> be kept in the Spark UI.
>
> {code:java}
> new Thread() {
> override def run() {
> // job 0
> sc.makeRDD(1 to 1, 1).foreach { i =>
> Thread.sleep(1)
> }
> }
> }.start()
> Thread.sleep(1000)
> for (_ <- 1 to 20) {
> new Thread() {
> override def run() {
> sc.makeRDD(1 to 1, 1).foreach { i =>
> }
> }
> }.start()
> }
> Thread.sleep(15000)
> sc.makeRDD(1 to 1, 1).foreach { i =>
> }
> {code}
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[jira] [Assigned] (SPARK-23307) Spark UI should sort jobs/stages with the completed timestamp before cleaning up them
[
https://issues.apache.org/jira/browse/SPARK-23307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shixiong Zhu reassigned SPARK-23307:
Assignee: Shixiong Zhu
> Spark UI should sort jobs/stages with the completed timestamp before cleaning
> up them
> -
>
> Key: SPARK-23307
> URL: https://issues.apache.org/jira/browse/SPARK-23307
> Project: Spark
> Issue Type: Bug
> Components: Web UI
>Affects Versions: 2.3.0
>Reporter: Shixiong Zhu
>Assignee: Shixiong Zhu
>Priority: Major
>
> When you have a long running job, it may be deleted from UI quickly when it
> completes, if you happen to run a small job after it. It's pretty annoying
> when you run lots of jobs in the same driver concurrently (e.g., running
> multiple Structured Streaming queries). We should sort jobs/stages with the
> completed timestamp before cleaning up them.
> In 2.2, Spark has a separated buffer for completed jobs/stages, so it doesn't
> need to sort the jobs/stages.
> What's the behavior I expect:
> Set "spark.ui.retainedJobs" to 10 and run the following codes, job 0 should
> be kept in the Spark UI.
>
> {code:java}
> new Thread() {
> override def run() {
> // job 0
> sc.makeRDD(1 to 1, 1).foreach { i =>
> Thread.sleep(1)
> }
> }
> }.start()
> Thread.sleep(1000)
> for (_ <- 1 to 20) {
> new Thread() {
> override def run() {
> sc.makeRDD(1 to 1, 1).foreach { i =>
> }
> }
> }.start()
> }
> Thread.sleep(15000)
> sc.makeRDD(1 to 1, 1).foreach { i =>
> }
> {code}
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