bowenliang123 commented on code in PR #5923:
URL: https://github.com/apache/kyuubi/pull/5923#discussion_r1437431542
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externals/kyuubi-spark-sql-engine/src/main/scala/org/apache/kyuubi/engine/spark/operation/ExecuteStatement.scala:
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@@ -180,21 +180,24 @@ class ExecuteStatement(
val sessionId = session.handle.identifier.toString
val savePath =
session.sessionManager.getConf.get(OPERATION_RESULT_SAVE_TO_FILE_DIR)
saveFileName = Some(s"$savePath/$engineId/$sessionId/$statementId")
- // Rename all col name to avoid duplicate columns
- val colName = range(0, result.schema.size).map(x => "col" + x)
-
- val codec = if (SPARK_ENGINE_RUNTIME_VERSION >= "3.2") "zstd" else
"zlib"
- // df.write will introduce an extra shuffle for the outermost limit,
and hurt performance
- if (resultMaxRows > 0) {
- result.toDF(colName: _*).limit(resultMaxRows).write
- .option("compression", codec).format("orc").save(saveFileName.get)
- } else {
- result.toDF(colName: _*).write
- .option("compression", codec).format("orc").save(saveFileName.get)
+ val saveFile = saveFileName.get
+ FileUtil.fullyDeleteOnExit(new File(saveFile))
Review Comment:
OK, changed to use hadoop fs to cleanup saved result file, as exited code in
`close()`.
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