Test Result : ParquetIOSuite

0 failures (±0)
55 tests (±0)
Took 2 min 42 sec.

All Tests

Test nameDurationStatus
4 in reading dates/timestamps7.6 secPassed
Legacy mode - array1.1 secPassed
Legacy mode - array and double3.7 secPassed
Legacy mode - array of nested struct0.74 secPassed
Legacy mode - array of struct1.1 secPassed
Legacy mode - fixed-length decimals11 secPassed
Legacy mode - map0.64 secPassed
Legacy mode - nested map with struct as key type0.8 secPassed
Legacy mode - nested map with struct as value type4.6 secPassed
Legacy mode - nested struct with array of array as field0.71 secPassed
Legacy mode - struct1.2 secPassed
SPARK-10113 Support for unsigned Parquet logical types0.18 secPassed
SPARK-11044 Parquet writer version fixed as version11.7 secPassed
SPARK-11692 Support for Parquet logical types, JSON and BSON (embedded types)0.25 secPassed
SPARK-11694 Parquet logical types are not being tested properly0.72 secPassed
SPARK-12589 copy() on rows returned from reader works for strings1 secPassed
SPARK-18433: Improve DataSource option keys to be more case-insensitive1 msPassed
SPARK-23173 Writing a file with data converted from JSON with and incorrect user schema0.57 secPassed
SPARK-31159: rebasing dates in write3.7 secPassed
SPARK-31159: rebasing timestamps in write15 secPassed
SPARK-6315 regression test0.94 secPassed
SPARK-6330 regression test7.8 secPassed
SPARK-7837 Do not close output writer twice when commitTask() fails24 secPassed
Standard mode - array0.94 secPassed
Standard mode - array and double1.9 secPassed
Standard mode - array of nested struct1 secPassed
Standard mode - array of struct1.8 secPassed
Standard mode - fixed-length decimals13 secPassed
Standard mode - map0.93 secPassed
Standard mode - nested map with struct as key type1.1 secPassed
Standard mode - nested map with struct as value type3.5 secPassed
Standard mode - nested struct with array of array as field1 secPassed
Standard mode - struct0.86 secPassed
VectorizedParquetRecordReader - direct path read0.67 secPassed
VectorizedParquetRecordReader - partition column types0.53 secPassed
Write Spark version into Parquet metadata0.32 secPassed
basic data types (without binary)3.7 secPassed
class shouldn't be overridden0.37 secPassed
compression codec1.2 secPassed
date type2.2 secPassed
nones1.3 secPassed
null and non-null strings1.5 secPassed
nulls14 secPassed
raw binary0.69 secPassed
read dictionary and plain encoded timestamp_millis written as INT641.2 secPassed
read dictionary encoded decimals written as FIXED_LEN_BYTE_ARRAY1.1 secPassed
read dictionary encoded decimals written as INT321.1 secPassed
read dictionary encoded decimals written as INT640.86 secPassed
read raw Parquet file1.7 secPassed
save - append4.3 secPassed
save - ignore1.1 secPassed
save - overwrite1.4 secPassed
save - throw0.68 secPassed
string3.2 secPassed
write metadata23 msPassed