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
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