AngersZhuuuu opened a new pull request #35620:
URL: https://github.com/apache/spark/pull/35620
### What changes were proposed in this pull request?
When user define a table A and table location is another table B 's
partition path. If user want to insert data to A table with B table's this
partition's data, will directly clean the data under table A's location, an
cause B's data loss.
```
[info] Cause: org.apache.spark.SparkException: Job aborted due to stage
failure: Task 0 in stage 14.0 failed 1 times, most recent failure: Lost task
0.0 in stage 14.0 (TID 15) (10.12.190.176 executor driver):
org.apache.spark.SparkException: Task failed while writing rows.
[info] at
org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:577)
[info] at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:345)
[info] at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$write$20(FileFormatWriter.scala:252)
[info] at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
[info] at org.apache.spark.scheduler.Task.run(Task.scala:136)
[info] at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:507)
[info] at
org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1475)
[info] at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:510)
[info] at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info] at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info] at java.lang.Thread.run(Thread.java:748)
[info] Caused by: java.io.FileNotFoundException:
[info] File
file:/Users/yi.zhu/Documents/project/Angerszhuuuu/spark/target/tmp/spark-f1c6b035-e585-4c0e-9b83-17ad54e85978/dt=2020-09-10/part-00000-855b7af4-fe2b-4933-807a-6bf40eab11ba.c000.snappy.parquet
does not exist
[info]
[info] It is possible the underlying files have been updated. You can
explicitly invalidate
[info] the cache in Spark by running 'REFRESH TABLE tableName' command in
SQL or by
[info] recreating the Dataset/DataFrame involved.
[info]
[info] at
org.apache.spark.sql.errors.QueryExecutionErrors$.readCurrentFileNotFoundError(QueryExecutionErrors.scala:583)
[info] at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:212)
[info] at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:270)
[info] at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116)
[info] at
org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:548)
[info] at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
Source)
[info] at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
[info] at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
[info] at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
[info] at
org.apache.spark.sql.execution.datasources.FileFormatDataWriter.writeWithIterator(FileFormatDataWriter.scala:91)
[info] at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeTask$1(FileFormatWriter.scala:328)
[info] at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1509)
[info] at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:335)
[info] ... 9 more
[info]
```
When verify path, we should check if target path is read path's subdir too
### Why are the changes needed?
Avoid potential data loss.
### Does this PR introduce _any_ user-facing change?
User can't insert overwrite table under read path
### How was this patch tested?
Added UT
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