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[GLUTEN-6997][VL] Ignore a test: cleanup file if job failed (apache#6965
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PHILO-HE authored and shamirchen committed Oct 14, 2024
1 parent d2adc0b commit cf55e87
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Showing 2 changed files with 16 additions and 10 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -114,16 +114,19 @@ class GlutenInsertSuite
}
}

testGluten("Cleanup staging files if job is failed") {
withTable("t") {
spark.sql("CREATE TABLE t (c1 int, c2 string) USING PARQUET")
val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
ignoreGluten("Cleanup staging files if job failed") {
// Using a unique table name in this test. Sometimes, the table is not removed for some unknown
// reason, which can cause test failure (location already exists) if other following tests have
// the same table name.
withTable("tbl") {
spark.sql("CREATE TABLE tbl (c1 int, c2 string) USING PARQUET")
val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("tbl"))
assert(new File(table.location).list().length == 0)

intercept[Exception] {
spark.sql(
"""
|INSERT INTO TABLE t
|INSERT INTO TABLE tbl
|SELECT id, assert_true(SPARK_PARTITION_ID() = 1) FROM range(1, 3, 1, 2)
|""".stripMargin
)
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Original file line number Diff line number Diff line change
Expand Up @@ -116,16 +116,19 @@ class GlutenInsertSuite
}
}

testGluten("Cleanup staging files if job is failed") {
withTable("t") {
spark.sql("CREATE TABLE t (c1 int, c2 string) USING PARQUET")
val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
ignoreGluten("Cleanup staging files if job failed") {
// Using a unique table name in this test. Sometimes, the table is not removed for some unknown
// reason, which can cause test failure (location already exists) if other following tests have
// the same table name.
withTable("tbl") {
spark.sql("CREATE TABLE tbl (c1 int, c2 string) USING PARQUET")
val table = spark.sessionState.catalog.getTableMetadata(TableIdentifier("tbl"))
assert(new File(table.location).list().length == 0)

intercept[Exception] {
spark.sql(
"""
|INSERT INTO TABLE t
|INSERT INTO TABLE tbl
|SELECT id, assert_true(SPARK_PARTITION_ID() = 1) FROM range(1, 3, 1, 2)
|""".stripMargin
)
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