Guanpx opened a new issue, #5358:
URL: https://github.com/apache/hudi/issues/5358
**Describe the problem you faced**
read hudi cow table with spark , throw exception **File does not exist:
xxxxxxxx**
**To Reproduce**
Steps to reproduce the behavior:
1. insert cow data readtime with **auto clean**
2. read data with spark when clean was happened throw exception
**Expected behavior**
spark read hudi table without `REFRESH TABLE tableName`
**Environment Description**
* Hudi version : 0.11.0
* Spark version : 2.4.0
* Hive version : 2.1.1
* Hadoop version : 3.0.0
* Storage (HDFS/S3/GCS..) : HDFS
* Running on Docker? (yes/no) : no
**Stacktrace**
```
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:929)
................
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:851)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
at
org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
at
org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:926)
at
org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:935)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.FileNotFoundException: File does not exist:
hdfs://hdfs-ha/hudi/dw/rds.db/hudi_table_name/ed5cb7ee-17f7-42e5-a827-c76296f481e7_1-2-0_20220406153953615.parquet
It is possible the underlying files have been updated. You can
explicitly invalidate the cache in Spark by running 'REFRESH TABLE tableName'
command in SQL or by recreating the Dataset/DataFrame involved.
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:129)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:179)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:103)
.............................
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
```
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