MrAladdin opened a new issue, #11178:
URL: https://github.com/apache/hudi/issues/11178
**Describe the problem you faced**
A clear and concise description of the problem.
1.xxx.parquet is not a Parquet file
2.The reasons and how to fix it, as well as how to prevent it in the future,
as the downstream is continuously using it, thank you very much.
**Environment Description**
* Hudi version :0.14.1
* Spark version :3.4
* Hive version :3.1.2
* Hadoop version :3.1
* Storage (HDFS/S3/GCS..) :hdfs
* Running on Docker? (yes/no) :no
**Stacktrace**
Caused by: java.lang.RuntimeException:
viewfs://nbns/user/quantum_social/lakehouse/social/dwd_social_kbi_beauty_lower_v1/partition_index_date=202302/229164d5-911f-49df-91b5-cb15aecc60de-0_2531-32510-4568658_20240508183714815.parquet
is not a Parquet file (length is too low: 0)
at
org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:540)
at
org.apache.parquet.hadoop.ParquetFileReader.<init>(ParquetFileReader.java:777)
at
org.apache.parquet.hadoop.ParquetFileReader.open(ParquetFileReader.java:658)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFooterReader.readFooter(ParquetFooterReader.java:53)
at
org.apache.spark.sql.execution.datasources.parquet.ParquetFooterReader.readFooter(ParquetFooterReader.java:39)
at
org.apache.spark.sql.execution.datasources.parquet.Spark34LegacyHoodieParquetFileFormat.footerFileMetaData$lzycompute$1(Spark34LegacyHoodieParquetFileFormat.scala:184)
at
org.apache.spark.sql.execution.datasources.parquet.Spark34LegacyHoodieParquetFileFormat.footerFileMetaData$1(Spark34LegacyHoodieParquetFileFormat.scala:183)
at
org.apache.spark.sql.execution.datasources.parquet.Spark34LegacyHoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark34LegacyHoodieParquetFileFormat.scala:187)
at
org.apache.hudi.HoodieDataSourceHelper$.$anonfun$buildHoodieParquetReader$1(HoodieDataSourceHelper.scala:67)
at
org.apache.hudi.HoodieBaseRelation.$anonfun$createBaseFileReader$2(HoodieBaseRelation.scala:582)
at
org.apache.hudi.HoodieBaseRelation$BaseFileReader.apply(HoodieBaseRelation.scala:673)
at org.apache.hudi.RecordMergingFileIterator.<init>(Iterators.scala:249)
at
org.apache.hudi.HoodieMergeOnReadRDD.compute(HoodieMergeOnReadRDD.scala:109)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
at
org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:101)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
at org.apache.spark.scheduler.Task.run(Task.scala:139)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1529)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
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