Test Result : ParquetV1QuerySuite

0 failures (±0) , 2 skipped (±0)
42 tests (±0)
Took 20 sec.

All Tests

Test nameDurationStatus
Enabling/disabling ignoreCorruptFiles1.7 secPassed
Enabling/disabling merging partfiles when merging parquet schema0.54 secPassed
Enabling/disabling schema merging0.53 secPassed
Legacy mode - SPARK-10301 requested schema clipping - UDT0.2 secPassed
Migration from INT96 to TIMESTAMP_MICROS timestamp type3.9 secPassed
SPARK-10005 Schema merging for nested struct0.4 secPassed
SPARK-10301 requested schema clipping - deeply nested struct0.21 secPassed
SPARK-10301 requested schema clipping - out of order0.28 secPassed
SPARK-10301 requested schema clipping - physical schema contains requested schema0.4 secPassed
SPARK-10301 requested schema clipping - requested schema contains physical schema0.41 secPassed
SPARK-10301 requested schema clipping - same schema0.24 secPassed
SPARK-10301 requested schema clipping - schema merging0.37 secPassed
SPARK-10301 requested schema clipping - schemas overlap but don't contain each other0.2 secPassed
SPARK-10301 requested schema clipping - schemas with disjoint sets of fields0 msSkipped
SPARK-10365 timestamp written and read as INT64 - TIMESTAMP_MICROS0.39 secPassed
SPARK-10634 timestamp written and read as INT64 - truncation0.54 secPassed
SPARK-11997 parquet with null partition values0.32 secPassed
SPARK-15719: disable writing summary files by default0.13 secPassed
SPARK-15804: write out the metadata to parquet file0.25 secPassed
SPARK-16344: array of struct with a single field named 'element'0.34 secPassed
SPARK-16632: read Parquet int32 as ByteType and ShortType0.3 secPassed
SPARK-1913 regression: columns only referenced by pushed down filters should remain0.34 secPassed
SPARK-20407 ParquetQuerySuite 'Enabling/disabling ignoreCorruptFiles' flaky test0 msSkipped
SPARK-24230: filter row group using dictionary0.43 secPassed
SPARK-26677: negated null-safe equality comparison should not filter matched row groups0.66 secPassed
SPARK-34212 Parquet should read decimals correctly1.4 secPassed
SPARK-36825, SPARK-36852: create table with ANSI intervals0.76 secPassed
SPARK-5309 strings stored using dictionary compression in parquet1.1 secPassed
SPARK-6917 DecimalType should work with non-native types0.29 secPassed
SPARK-8990 DataFrameReader.parquet() should respect user specified options0.33 secPassed
SPARK-9119 Decimal should be correctly written into parquet0.23 secPassed
Standard mode - SPARK-10301 requested schema clipping - UDT0.22 secPassed
appending0.42 secPassed
expand UDT in ArrayType0 msPassed
expand UDT in MapType0 msPassed
expand UDT in StructType0 msPassed
nested data - array of struct0.35 secPassed
nested data - struct with array field0.37 secPassed
overwriting0.57 secPassed
returning batch for wide table0.4 secPassed
self-join0.31 secPassed
simple select queries0.57 secPassed