[
https://issues.apache.org/jira/browse/HUDI-3041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
sivabalan narayanan reassigned HUDI-3041:
-----------------------------------------
Assignee: Sagar Sumit
> spark.read fails when drop partitions columns is used w/o glob path
> -------------------------------------------------------------------
>
> Key: HUDI-3041
> URL: https://issues.apache.org/jira/browse/HUDI-3041
> Project: Apache Hudi
> Issue Type: Bug
> Components: Spark Integration
> Affects Versions: 0.9.0
> Reporter: sivabalan narayanan
> Assignee: Sagar Sumit
> Priority: Major
> Labels: sev:normal, user-support-issues
>
> With 0.9.0, we added support for dropping partition columns after generating
> the partition path for hoodie records. but looks like we have some gaps in
> end to end flow.
> Main issue is with not giving glob path. if proper glob path is given, it
> works.
>
> hudi serializes partition path fields to table properties and re-uses when in
> need. So, while querying the field may not be part of table schema since hudi
> would have removed the field (along with trimming the schema) completely.
> Stacktrace for Issue (1)
> {code:java}
> scala> val tripsSnapshotDF = spark.read.format("hudi").load(basePath)
> java.lang.IllegalArgumentException: Cannot find column: 'partitionId' in the
> schema[StructField(_hoodie_commit_time,StringType,true),StructField(_hoodie_commit_seqno,StringType,true),StructField(_hoodie_record_key,StringType,true),StructField(_hoodie_partition_path,StringType,true),StructField(_hoodie_file_name,StringType,true),StructField(rowId,StringType,true),StructField(preComb,LongType,true),StructField(name,StringType,true),StructField(versionId,StringType,true),StructField(toBeDeletedStr,StringType,true),StructField(intToLong,IntegerType,true),StructField(longToInt,LongType,true)]
> at
> org.apache.hudi.HoodieFileIndex$$anonfun$5$$anonfun$apply$1.apply(HoodieFileIndex.scala:106)
> at
> org.apache.hudi.HoodieFileIndex$$anonfun$5$$anonfun$apply$1.apply(HoodieFileIndex.scala:106)
> at scala.collection.MapLike$class.getOrElse(MapLike.scala:128)
> at scala.collection.AbstractMap.getOrElse(Map.scala:59)
> at
> org.apache.hudi.HoodieFileIndex$$anonfun$5.apply(HoodieFileIndex.scala:106)
> at
> org.apache.hudi.HoodieFileIndex$$anonfun$5.apply(HoodieFileIndex.scala:105)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at
> org.apache.hudi.HoodieFileIndex._partitionSchemaFromProperties$lzycompute(HoodieFileIndex.scala:105)
> at
> org.apache.hudi.HoodieFileIndex._partitionSchemaFromProperties(HoodieFileIndex.scala:99)
> at
> org.apache.hudi.HoodieFileIndex.getAllQueryPartitionPaths(HoodieFileIndex.scala:348)
> at
> org.apache.hudi.HoodieFileIndex.loadPartitionPathFiles(HoodieFileIndex.scala:420)
> at org.apache.hudi.HoodieFileIndex.refresh0(HoodieFileIndex.scala:214)
> at org.apache.hudi.HoodieFileIndex.<init>(HoodieFileIndex.scala:149)
> at
> org.apache.hudi.DefaultSource.getBaseFileOnlyView(DefaultSource.scala:199)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:116)
> at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:67)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318)
> 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.load(DataFrameReader.scala:178)
> ... 63 elided {code}
> Steps to reproduce:
> [https://gist.github.com/nsivabalan/570a96004e41f84565c99d8994b12d57]
>
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