[ 
https://issues.apache.org/jira/browse/TEZ-3369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15392645#comment-15392645
 ] 

Hitesh Shah commented on TEZ-3369:
----------------------------------

Some general background info ( not having looked at the patch yet ): 
   - DAGClient is a user-facing API. 
   - DAGClientImpl is the impl for this user-facing API. 
   - DAGClientInternal was created as an abtract class for providing different 
impls i.e. one which talks to the AM and the other which talks to ATS. Keeping  
DAGClientInternal separate from DAGClient was intentional due its internal 
facing nature.

 
  

> Fixing Tez's DAGClients to work with Cascading
> ----------------------------------------------
>
>                 Key: TEZ-3369
>                 URL: https://issues.apache.org/jira/browse/TEZ-3369
>             Project: Apache Tez
>          Issue Type: Bug
>            Reporter: Piyush Narang
>
> Hi,
> We seem to be running into issues when we try to use the newest version of 
> Tez (0.9.0-SNAPSHOT) with Cascading. The issue seems to be:
> {code}
> java.lang.ClassCastException: cascading.stats.tez.util.TezTimelineClient 
> cannot be cast to org.apache.tez.dag.api.client.DAGClient
>       at 
> cascading.stats.tez.util.TezStatsUtil.createTimelineClient(TezStatsUtil.java:142)
> {code}
> (Full stack trace at the end)
> Relevant Cascading code is:
> 1) [Cascading tries to create a TezTimelineClient and cast it to a DAGClient 
> | 
> https://github.com/Cascading/cascading/blob/3.1/cascading-hadoop2-tez-stats/src/main/java/cascading/stats/tez/util/TezStatsUtil.java#L142]
> 2) [TezTimelineClient extends from DAGClientTimelineImpl | 
> https://github.com/Cascading/cascading/blob/3.1/cascading-hadoop2-tez-stats/src/main/java/cascading/stats/tez/util/TezTimelineClient.java#L53]
> 3) [DAGClientTimelineImpl extends from DAGClientInternal | 
> https://github.com/apache/tez/blob/dacd0191b684208d71ea457ca849f2d01212bb7e/tez-api/src/main/java/org/apache/tez/dag/api/client/DAGClientTimelineImpl.java#L68]
> 4) [DAGClientInternal extends Closeable which is why things break | 
> https://github.com/apache/tez/blob/dacd0191b684208d71ea457ca849f2d01212bb7e/tez-api/src/main/java/org/apache/tez/dag/api/client/DAGClientInternal.java#L38].
> This behavior was 'broken' in this [commit | 
> https://github.com/apache/tez/commit/2af886b509015200e1c04527275474cbc771c667]
>  (release 0.8.3)
> The TezTimelineClient in Cascading seems to do two things:
> 1) DAGClient functionalities - ends up delegating to the inner DAGClient 
> object.
> 2) Retrieve stuff like vertexID, vertexChildren and vertexChild (from this 
> [interface|https://github.com/Cascading/cascading/blob/3.1/cascading-hadoop2-tez-stats/src/main/java/cascading/stats/tez/util/TimelineClient.java#L31]).
>  
> As there's no good way to get the vertexID / vertexChildren / vertexChild 
> (correct me if I'm wrong), they end up extending from the 
> DAGClientTimelineImpl which has the http client and json parsing code to 
> allow [things like this | 
> https://github.com/Cascading/cascading/blob/3.1/cascading-hadoop2-tez-stats/src/main/java/cascading/stats/tez/util/TezTimelineClient.java#L93]:
> {code}
> @Override
>   public String getVertexID( String vertexName ) throws IOException, 
> TezException
>     {
>     // the filter 'vertexName' is in the 'otherinfo' field, so it must be 
> requested, otherwise timeline server throws
>     // an NPE. to be safe, we include both fields in the result
>     String format = 
> "%s/%s?primaryFilter=%s:%s&secondaryFilter=vertexName:%s&fields=%s";
>     String url = String.format( format, baseUri, TEZ_VERTEX_ID, TEZ_DAG_ID, 
> dagId, vertexName, FILTER_BY_FIELDS );
>     JSONObject jsonRoot = getJsonRootEntity( url );
>     JSONArray entitiesNode = jsonRoot.optJSONArray( ENTITIES );
> ...
> {code}
> Some options I can think of:
> 1) Ideally these methods getVertexID / getVertexChildren / getVertexChild 
> would be part of DAGClient? Or even part of the DAGClientTimelineImpl? That 
> way the cascading code wouldn't need updating if the uri changed / json 
> format changed, it would end up being updated in these clients as well. I 
> suspect adding this to DAGClient would require more work as it'll also need 
> to be supported by the RPCClient and I don't think there are the relevant 
> protos and such available. 
> 2) A simpler fix would be to have DAGClientInternal extend DAGClient 
> (currently it just implements Closeable). This will not require any changes 
> on the Cascading side as DAGClientTimelineImpl will continue to be a 
> DAGClient. 
> Full stack trace:
> {code}
> Exception in thread "flow 
> com.twitter.data_platform.e2e_testing.jobs.parquet.E2ETestConvertThriftToParquet"
>  java.lang.ClassCastException: cascading.stats.tez.util.TezTimelineClient 
> cannot be cast to org.apache.tez.dag.api.client.DAGClient
>       at 
> cascading.stats.tez.util.TezStatsUtil.createTimelineClient(TezStatsUtil.java:142)
>       at 
> cascading.flow.tez.planner.Hadoop2TezFlowStepJob$1.getJobStatusClient(Hadoop2TezFlowStepJob.java:117)
>       at 
> cascading.flow.tez.planner.Hadoop2TezFlowStepJob$1.getJobStatusClient(Hadoop2TezFlowStepJob.java:105)
>       at 
> cascading.stats.tez.TezStepStats$1.getJobStatusClient(TezStepStats.java:60)
>       at 
> cascading.stats.tez.TezStepStats$1.getJobStatusClient(TezStepStats.java:56)
>       at cascading.stats.CounterCache.cachedCounters(CounterCache.java:229)
>       at cascading.stats.CounterCache.cachedCounters(CounterCache.java:187)
>       at cascading.stats.CounterCache.getCounterValue(CounterCache.java:167)
>       at 
> cascading.stats.BaseCachedStepStats.getCounterValue(BaseCachedStepStats.java:105)
>       at cascading.stats.FlowStats.getCounterValue(FlowStats.java:170)
>       at 
> cascading.flow.tez.Hadoop2TezFlow.getTotalSliceCPUMilliSeconds(Hadoop2TezFlow.java:303)
>       at cascading.flow.BaseFlow.run(BaseFlow.java:1287)
>       at cascading.flow.BaseFlow.access$100(BaseFlow.java:82)
>       at cascading.flow.BaseFlow$1.run(BaseFlow.java:928)
>       at java.lang.Thread.run(Thread.java:745)
> Exception in thread "main" java.lang.Throwable: If you know what exactly 
> caused this error, please consider contributing to GitHub via following link.
> https://github.com/twitter/scalding/wiki/Common-Exceptions-and-possible-reasons#javalangclasscastexception
>       at com.twitter.scalding.Tool$.main(Tool.scala:152)
>       at com.twitter.scalding.Tool.main(Tool.scala)
>       at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>       at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>       at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>       at java.lang.reflect.Method.invoke(Method.java:498)
>       at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
>       at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
> Caused by: java.lang.ClassCastException: 
> cascading.stats.tez.util.TezTimelineClient cannot be cast to 
> org.apache.tez.dag.api.client.DAGClient
>       at 
> cascading.stats.tez.util.TezStatsUtil.createTimelineClient(TezStatsUtil.java:142)
>       at 
> cascading.flow.tez.planner.Hadoop2TezFlowStepJob$1.getJobStatusClient(Hadoop2TezFlowStepJob.java:117)
>       at 
> cascading.flow.tez.planner.Hadoop2TezFlowStepJob$1.getJobStatusClient(Hadoop2TezFlowStepJob.java:105)
>       at 
> cascading.stats.tez.TezStepStats$1.getJobStatusClient(TezStepStats.java:60)
>       at 
> cascading.stats.tez.TezStepStats$1.getJobStatusClient(TezStepStats.java:56)
>       at cascading.stats.CounterCache.cachedCounters(CounterCache.java:229)
>       at cascading.stats.CounterCache.cachedCounters(CounterCache.java:187)
>       at cascading.stats.CounterCache.getCountersFor(CounterCache.java:155)
>       at 
> cascading.stats.BaseCachedStepStats.getCountersFor(BaseCachedStepStats.java:93)
>       at cascading.stats.FlowStats.getCountersFor(FlowStats.java:159)
>       at com.twitter.scalding.Stats$.getAllCustomCounters(Stats.scala:93)
>       at com.twitter.scalding.Job.handleStats(Job.scala:269)
>       at com.twitter.scalding.Job.run(Job.scala:298)
>       at com.twitter.scalding.Tool.start$1(Tool.scala:124)
>       at com.twitter.scalding.Tool.run(Tool.scala:140)
>       at com.twitter.scalding.Tool.run(Tool.scala:68)
>       at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
>       at com.twitter.scalding.Tool$.main(Tool.scala:148)
>       ... 7 more
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to