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[SPARK-11694][SQL] Parquet logical types are not being tested properly #9660

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[SPARK-11694][SQL] Parquet logical types are not being tested properly #9660

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[SPARK-11694][SQL] Parquet logical types are not being tested properly
HyukjinKwon Nov 12, 2015
9a5c2a3
[SPARK-11694][SQL] Remove mistakenly added characters.
HyukjinKwon Nov 12, 2015
02f3ef9
[SPARK-11694][SQL] Overload writeMetaFile() and Add all the logical t…
HyukjinKwon Nov 13, 2015
22e1374
[SPARK-11694][SQL] Shorten line less than 100 characters
HyukjinKwon Nov 13, 2015
8e3e470
[SPARK-11694][SQL] Add a import manually
HyukjinKwon Nov 13, 2015
3c7277a
[SPARK-11694][SQL] Add an import for `ParquetMetadata`
HyukjinKwon Nov 13, 2015
ce36be0
[SPARK-11694][SQL] Add an import for `Collections`
HyukjinKwon Nov 13, 2015
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26 changes: 26 additions & 0 deletions ...re/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -91,6 +91,32 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSQLContext {
}
}

test("SPARK-11694 Parquet logical types are not being tested properly") {
val parquetSchema = MessageTypeParser.parseMessageType(
"""message root {
| required int32 a(INT_8);
| required int32 b(INT_16);
| required int32 c(DATE);
| required int32 d(DECIMAL(1,0));
| required int64 e(DECIMAL(10,0));
|} + """.stripMargin)
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@liancheng liancheng Nov 12, 2015

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What's the +?

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@HyukjinKwon HyukjinKwon Nov 12, 2015

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Hm. I should get rid of this. I ran this test several times and added a PR. This is weird. Sorry.


withTempPath { location =>
val extraMetadata = Map.empty[String, String].asJava
val fileMetadata = new FileMetaData(parquetSchema, extraMetadata, "Spark")
val path = new Path(location.getCanonicalPath)
val footer = List(
new Footer(path, new ParquetMetadata(fileMetadata, Collections.emptyList()))
).asJava

ParquetFileWriter.writeMetadataFile(sparkContext.hadoopConfiguration, path, footer)
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@liancheng liancheng Nov 12, 2015

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I noticed that you've been using this trick multiple times in various test cases. There's a method ParquetTest.writeMetadata, which is very similar to the logic above. You may either modify that method or add an overloaded version of it to allow writing customized Parquet schema.

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@HyukjinKwon HyukjinKwon Nov 13, 2015

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Done!

val sparkTypes = sqlContext.read.parquet(path.toString).schema.map(_.dataType)

assert(sparkTypes ==
Seq(ByteType, ShortType, DateType, DecimalType(1, 0), DecimalType(10, 0)))
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@liancheng liancheng Nov 12, 2015

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Please use === instead of == for better assertion error message.

}
}

test("string") {
val data = (1 to 4).map(i => Tuple1(i.toString))
// Property spark.sql.parquet.binaryAsString shouldn't affect Parquet files written by Spark SQL
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