Test Result : ParquetIOSuite

0 failures (±0) , 1 skipped (±0)
57 tests (±0)
Took 31 sec.

All Tests

Test nameDurationStatus
Legacy mode - array0.29 secPassed
Legacy mode - array and double0.29 secPassed
Legacy mode - array of nested struct0.35 secPassed
Legacy mode - array of struct0.29 secPassed
Legacy mode - fixed-length decimals2.4 secPassed
Legacy mode - map0.3 secPassed
Legacy mode - nested map with struct as key type0.31 secPassed
Legacy mode - nested map with struct as value type0.32 secPassed
Legacy mode - nested struct with array of array as field0.34 secPassed
Legacy mode - struct0.3 secPassed
SPARK-10113 Support for unsigned Parquet logical types54 msPassed
SPARK-11044 Parquet writer version fixed as version10.17 secPassed
SPARK-11692 Support for Parquet logical types, JSON and BSON (embedded types)56 msPassed
SPARK-11694 Parquet logical types are not being tested properly0.12 secPassed
SPARK-12589 copy() on rows returned from reader works for strings0.27 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 schema0.21 secPassed
SPARK-31159: compatibility with Spark 2.4 in reading dates/timestamps6.1 secPassed
SPARK-31159: rebasing dates in write2.1 secPassed
SPARK-31159: rebasing timestamps in write5.3 secPassed
SPARK-31806: generate test files for checking compatibility with Spark 2.40 msSkipped
SPARK-33163: write the metadata key 'org.apache.spark.legacyDateTime'0.41 secPassed
SPARK-6315 regression test0.1 secPassed
SPARK-6330 regression test81 msPassed
SPARK-7837 Do not close output writer twice when commitTask() fails0.2 secPassed
SPARK-8121: spark.sql.parquet.output.committer.class shouldn't be overridden74 msPassed
Standard mode - array0.35 secPassed
Standard mode - array and double0.31 secPassed
Standard mode - array of nested struct0.33 secPassed
Standard mode - array of struct0.31 secPassed
Standard mode - fixed-length decimals2.7 secPassed
Standard mode - map0.31 secPassed
Standard mode - nested map with struct as key type0.31 secPassed
Standard mode - nested map with struct as value type0.43 secPassed
Standard mode - nested struct with array of array as field0.33 secPassed
Standard mode - struct0.33 secPassed
VectorizedParquetRecordReader - direct path read0.14 secPassed
VectorizedParquetRecordReader - partition column types0.24 secPassed
Write Spark version into Parquet metadata0.11 secPassed
basic data types (without binary)0.33 secPassed
compression codec0.29 secPassed
date type0.4 secPassed
nones0.21 secPassed
null and non-null strings0.35 secPassed
nulls0.19 secPassed
raw binary0.27 secPassed
read dictionary and plain encoded timestamp_millis written as INT640.21 secPassed
read dictionary encoded decimals written as FIXED_LEN_BYTE_ARRAY0.23 secPassed
read dictionary encoded decimals written as INT320.24 secPassed
read dictionary encoded decimals written as INT640.26 secPassed
read raw Parquet file0.24 secPassed
save - append0.34 secPassed
save - ignore0.27 secPassed
save - overwrite0.35 secPassed
save - throw83 msPassed
string0.6 secPassed
write metadata13 msPassed