cloud-fan commented on a change in pull request #31284:
URL: https://github.com/apache/spark/pull/31284#discussion_r568797351
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
##########
@@ -1205,6 +1205,32 @@ class ParquetIOSuite extends QueryTest with ParquetTest
with SharedSparkSession
}
}
}
+
+ test("SPARK-34167: read LongDecimals with precision < 10, VectorizedReader
off") {
+ // decimal32-written-as-64-bit.snappy.parquet was generated using a
3rd-party library. It has
+ // 10 rows of Decimal(9, 1) written as LongDecimal instead of an IntDecimal
+
readParquetFile(testFile("test-data/decimal32-written-as-64-bit.snappy.parquet"),
false) {
+ df => assert(10 == df.collect().length)
+ }
+ // decimal32-written-as-64-bit-dict.snappy.parquet was generated using a
3rd-party library. It
+ // has 2048 rows of Decimal(3, 1) written as LongDecimal instead of an
IntDecimal
+
readParquetFile(testFile("test-data/decimal32-written-as-64-bit-dict.snappy.parquet"),
false) {
+ df => assert(2048 == df.collect().length)
+ }
+ }
+
+ test("SPARK-34167: read LongDecimals with precision < 10, VectorizedReader
on") {
+ // decimal32-written-as-64-bit.snappy.parquet was generated using a
3rd-party library. It has
+ // 10 rows of Decimal(9, 1) written as LongDecimal instead of an IntDecimal
+
readParquetFile(testFile("test-data/decimal32-written-as-64-bit.snappy.parquet"))
{ df =>
Review comment:
How did you generate this parquet file? The footer contains a metadata
entry: `"org.apache.spark.sql.parquet.row.metadata":
"{"type":"struct","fields":[{"name":"_c0","type":"decimal(9,1)","nullable":true,"metadata":{}}]}"`,
which looks pretty weird as Spark can't generate such parquet files.
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