[jira] [Closed] (LIVY-712) EMR 5.23/5.27 - Livy does not recognise that Spark job failed
[ https://issues.apache.org/jira/browse/LIVY-712?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michal Sankot closed LIVY-712. -- Resolution: Workaround Issue seems to be external - concretely a problem in AWS EMR customizations of hadoop libraries. > EMR 5.23/5.27 - Livy does not recognise that Spark job failed > - > > Key: LIVY-712 > URL: https://issues.apache.org/jira/browse/LIVY-712 > Project: Livy > Issue Type: Bug > Components: API >Affects Versions: 0.5.0, 0.6.0 > Environment: AWS EMR 5.23/5.27, Scala >Reporter: Michal Sankot >Priority: Major > Labels: EMR, api, spark > > We've upgraded from AWS EMR 5.13 -> 5.23 (Livy 0.4.0 -> 0.5.0, Spark 2.3.0 -> > 2.4.0) and an issue appears that when there is an exception thrown during > Spark job execution, Spark shuts down as if there was no problem and job > appears as Completed in EMR. So we're not notified when system crashes. The > same problem appears in EMR 5.27 (Livy 0.6.0, Spark 2.4.4). > Is it something with Spark? Or a known issue with Livy? > In Livy logs I see that spark-submit exists with error code 1 > {quote}{{05:34:59 WARN BatchSession$: spark-submit exited with code 1}} > {quote} > And then Livy API states that batch state is > {quote}{{"state": "success"}} > {quote} > How can it be made work again? -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Commented] (LIVY-712) EMR 5.23/5.27 - Livy does not recognise that Spark job failed
[ https://issues.apache.org/jira/browse/LIVY-712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16984437#comment-16984437 ] Michal Sankot commented on LIVY-712: It seems that issue was present in EMR 5.23/5.27 (hadoop libraries 2.8.5-amzn-3/2.8.5-amzn-4) and is not present in EMR 5.28 anynore (hadoop libraries 2.8.5-amzn-5). I'm thus closing the issue. > EMR 5.23/5.27 - Livy does not recognise that Spark job failed > - > > Key: LIVY-712 > URL: https://issues.apache.org/jira/browse/LIVY-712 > Project: Livy > Issue Type: Bug > Components: API >Affects Versions: 0.5.0, 0.6.0 > Environment: AWS EMR 5.23/5.27, Scala >Reporter: Michal Sankot >Priority: Major > Labels: EMR, api, spark > > We've upgraded from AWS EMR 5.13 -> 5.23 (Livy 0.4.0 -> 0.5.0, Spark 2.3.0 -> > 2.4.0) and an issue appears that when there is an exception thrown during > Spark job execution, Spark shuts down as if there was no problem and job > appears as Completed in EMR. So we're not notified when system crashes. The > same problem appears in EMR 5.27 (Livy 0.6.0, Spark 2.4.4). > Is it something with Spark? Or a known issue with Livy? > In Livy logs I see that spark-submit exists with error code 1 > {quote}{{05:34:59 WARN BatchSession$: spark-submit exited with code 1}} > {quote} > And then Livy API states that batch state is > {quote}{{"state": "success"}} > {quote} > How can it be made work again? -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Created] (LIVY-718) Support multi-active high availability in Livy
Yiheng Wang created LIVY-718: Summary: Support multi-active high availability in Livy Key: LIVY-718 URL: https://issues.apache.org/jira/browse/LIVY-718 Project: Livy Issue Type: Epic Components: RSC, Server Reporter: Yiheng Wang In this JIRA we want to discuss how to implement multi-active high availability in Livy. Currently, Livy only supports single node recovery. This is not sufficient in some production environments. In our scenario, the Livy server serves many notebook and JDBC services. We want to make Livy service more fault-tolerant and scalable. There're already some proposals in the community for high availability. But they're not so complete or just for active-standby high availability. So we propose a multi-active high availability design to achieve the following goals: # One or more servers will serve the client requests at the same time. # Sessions are allocated among different servers. # When one node crashes, the affected sessions will be moved to other active services. Here's our design document, please review and comment: https://docs.google.com/document/d/1bD3qYZpw14_NuCcSGUOfqQ0pqvSbCQsOLFuZp26Ohjc/edit?usp=sharing -- This message was sent by Atlassian Jira (v8.3.4#803005)