dongjoon-hyun commented on a change in pull request #33350:
URL: https://github.com/apache/spark/pull/33350#discussion_r671024091
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitionsSuite.scala
##########
@@ -42,35 +43,27 @@ class PruneFileSourcePartitionsSuite extends
PrunePartitionSuiteBase {
test("PruneFileSourcePartitions should not change the output of
LogicalRelation") {
withTable("test") {
- withTempDir { dir =>
- sql(
- s"""
- |CREATE EXTERNAL TABLE test(i int)
- |PARTITIONED BY (p int)
- |STORED AS parquet
- |LOCATION '${dir.toURI}'""".stripMargin)
-
- val tableMeta = spark.sharedState.externalCatalog.getTable("default",
"test")
- val catalogFileIndex = new CatalogFileIndex(spark, tableMeta, 0)
-
- val dataSchema = StructType(tableMeta.schema.filterNot { f =>
- tableMeta.partitionColumnNames.contains(f.name)
- })
- val relation = HadoopFsRelation(
- location = catalogFileIndex,
- partitionSchema = tableMeta.partitionSchema,
- dataSchema = dataSchema,
- bucketSpec = None,
- fileFormat = new ParquetFileFormat(),
- options = Map.empty)(sparkSession = spark)
-
- val logicalRelation = LogicalRelation(relation, tableMeta)
- val query = Project(Seq(Symbol("i"), Symbol("p")),
- Filter(Symbol("p") === 1, logicalRelation)).analyze
-
- val optimized = Optimize.execute(query)
- assert(optimized.missingInput.isEmpty)
- }
+ spark.range(10).selectExpr("id", "id % 3 as
p").write.partitionBy("p").saveAsTable("test")
Review comment:
FYI, `CREATE TABLE ... USING PARQUET` (spark syntax) and `CREATE TABLE
... STORED AS PARQUET` (hive syntax) generates different tables in Apache Spark.
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