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https://issues.apache.org/jira/browse/HUDI-1770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17454028#comment-17454028
]
sivabalan narayanan commented on HUDI-1770:
-------------------------------------------
yes, guess its not going to be a easy fix. bcoz, cleaning cleans up data files
w/o touching timeline and archival trims timeline w/o looking into data files.
this might be a problem w/ incremental queries if there are entries in timeline
for which data files are cleaned up.
One possible fix(in HoodieIncrSource), we can try out is, on encountering such
errors, we can move to next commit in the timeline and keep retrying.
eventually we will hit a valid commit with valid data files.
> Deltastreamer throws errors when not running frequently
> -------------------------------------------------------
>
> Key: HUDI-1770
> URL: https://issues.apache.org/jira/browse/HUDI-1770
> Project: Apache Hudi
> Issue Type: Bug
> Components: DeltaStreamer
> Affects Versions: 0.7.0, 0.8.0
> Reporter: Vinoth Govindarajan
> Priority: Major
> Labels: sev:high
>
> When delta streamer is using HoodieIncrSource from another parent Hudi table,
> it runs into this error, when you are not running your delta streamer
> pipeline frequently.
>
> {code:java}
> User class threw exception: org.apache.spark.sql.AnalysisException: Path does
> not exist:
> hdfs:///tmp/delta_streamer_test/datestr=2021-03-30/f64f3420-4e03-4835-ab06-5d73cb953aa9-0_3-4-91_20210402163524.parquet;
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:558)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary$1.apply(DataSource.scala:545)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.immutable.List.foreach(List.scala:392)
> at
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.immutable.List.flatMap(List.scala:355)
> at
> org.apache.spark.sql.execution.datasources.DataSource.org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary(DataSource.scala:545)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:359)
> at
> org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
> at
> org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:641)
> at
> org.apache.hudi.IncrementalRelation.buildScan(IncrementalRelation.scala:151)
> at
> org.apache.spark.sql.execution.datasources.DataSourceStrategy.apply(DataSourceStrategy.scala:306)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:63)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:63)
> at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:78)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:75)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at
> scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
> at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1334)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:75)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:67)
> at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:78)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:75)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at
> scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
> at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1334)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:75)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:67)
> at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:78)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2$$anonfun$apply$2.apply(QueryPlanner.scala:75)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at
> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at
> scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
> at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1334)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:75)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$2.apply(QueryPlanner.scala:67)
> at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:79)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:75)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:85)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:106)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:106)
> at
> org.apache.hudi.HoodieSparkUtils$.createRdd(HoodieSparkUtils.scala:104)
> at
> org.apache.hudi.HoodieSparkUtils$.createRdd(HoodieSparkUtils.scala:95)
> at org.apache.hudi.HoodieSparkUtils.createRdd(HoodieSparkUtils.scala)
> at
> org.apache.hudi.utilities.deltastreamer.DeltaSync.lambda$readFromSource$4(DeltaSync.java:380)
> at org.apache.hudi.common.util.Option.map(Option.java:107)
> at
> org.apache.hudi.utilities.deltastreamer.DeltaSync.readFromSource(DeltaSync.java:380)
> at
> org.apache.hudi.utilities.deltastreamer.DeltaSync.syncOnce(DeltaSync.java:263)
> at
> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.lambda$sync$2(HoodieDeltaStreamer.java:170)
> at org.apache.hudi.common.util.Option.ifPresent(Option.java:96)
> at
> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.sync(HoodieDeltaStreamer.java:168)
> at
> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.main(HoodieDeltaStreamer.java:470)
> 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.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:690)
> {code}
>
> I guess this is because of the inconsistency with the cleaner commit retained
> and archival process which cleans up the commit files
> ([source|https://github.com/apache/hudi/blob/fe16d0de7c76105775c887b700751241bc82624c/hudi-client/hudi-client-common/src/main/java/org/apache/hudi/config/HoodieCompactionConfig.java#L123]):
> {code:java}
> private static final String DEFAULT_CLEANER_FILE_VERSIONS_RETAINED = "3";
> private static final String DEFAULT_CLEANER_COMMITS_RETAINED = "10";
> private static final String DEFAULT_MAX_COMMITS_TO_KEEP = "30";
> private static final String DEFAULT_MIN_COMMITS_TO_KEEP = "20";
> {code}
>
> These file not found error is for the commits which are present in .hoodie
> folder but the actual version is cleaned by the cleaner, delta streamer is
> doing a listing of all the commits and selects the latest commit file, but
> when the actual committed version file is not there, it throws this error.
>
> To recreate this error, you need to read from a hoodie table with
> HoodieIncrSource and schedule your pipeline to run twice a day (provided the
> cleaner cleans the commits in that interval).
>
> *Possible Solution:*
> Merge these two configs into one, and avoid this kind of inconsistent state
> in the HDFS.
>
>
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