wqwl611 opened a new issue #5136:
URL: https://github.com/apache/hudi/issues/5136
sometimes i will find this bug, and i delete the empty parquet file, it will
work but I guess I lost data.
Steps to reproduce the behavior: i don't know how to reproduce
commit info show totalWriteBytes > 0 but the parquet is empty .:
"_db=xxxx/_tbl=xxxx_014" : [ {
"fileId" : "f2ecd769-40ba-42ac-a03d-0c527db6f1b2-0",
"path" :
"_db=xxxxx/_tbl=xxx_014/f2ecd769-40ba-42ac-a03d-0c527db6f1b2-0_69-13711-1702754_20220326121335059.parquet",
"prevCommit" : "20220326115500480",
"numWrites" : 671338,
"numDeletes" : 0,
"numUpdateWrites" : 0,
"numInserts" : 58,
"totalWriteBytes" : 43100370,
but:
f2ecd769-40ba-42ac-a03d-0c527db6f1b2-0_69-13711-1713783_20220326121335059.parquet
is not a Parquet file (length is too low: 0)
at
org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:539)
at
org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:527)
at
org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:521)
at
org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:469)
at
org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:454)
at
org.apache.hudi.common.util.ParquetUtils.readMetadata(ParquetUtils.java:89)
at
org.apache.hudi.common.util.ParquetUtils.readFooter(ParquetUtils.java:211)
at
org.apache.hudi.common.util.BaseFileUtils.readMinMaxRecordKeys(BaseFileUtils.java:109)
at
org.apache.hudi.io.storage.HoodieParquetReader.readMinMaxRecordKeys(HoodieParquetReader.java:50)
at
org.apache.hudi.io.HoodieRangeInfoHandle.getMinMaxKeys(HoodieRangeInfoHandle.java:41)
at
org.apache.hudi.index.bloom.HoodieBloomIndex.lambda$loadColumnRangesFromFiles$4cbadf07$1(HoodieBloomIndex.java:156)
at
org.apache.spark.api.java.JavaPairRDD$.$anonfun$toScalaFunction$1(JavaPairRDD.scala:1070)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
at scala.collection.TraversableOnce.to(TraversableOnce.scala:366)
at scala.collection.TraversableOnce.to$(TraversableOnce.scala:364)
at scala.collection.AbstractIterator.to(Iterator.scala:1431)
at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:358)
at scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:358)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1431)
at scala.collection.TraversableOnce.toArray(TraversableOnce.scala:345)
at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:339)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1431)
at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1030)
at
org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2254)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1489)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2414)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2363)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2362)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2362)
**Environment Description**
* Hudi version : 0.11.snapshot
* Spark version : 3.2.0
* Hive version :
* Hadoop version : 2.7
* Storage (HDFS/S3/GCS..) : hdfs
* Running on Docker? (yes/no) : no
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: commits-unsubscr...@hudi.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
