Vinoth Govindarajan created HUDI-1770:
-----------------------------------------
Summary: 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
Reporter: Vinoth Govindarajan
When delta streamer is using HoodieIncrSource from another parent Hudi table,
it runs into this error:
{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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