Test Result : AvroV2Suite

0 failures (±0) , 1 skipped (±0)
88 tests (±0)
Took 25 sec.

All Tests

Test nameDurationStatus
Array data types0.28 secPassed
Avro source v2: same result with different orders of data filters and partition filters0.31 secPassed
Avro source v2: support partition pruning0.36 secPassed
Avro source v2: support passing data filters to FileScan without partitionFilters0.24 secPassed
Complex Union Type0.25 secPassed
Date field type0.32 secPassed
Detect recursive loop1 msPassed
Ignore corrupt Avro file if flag IGNORE_CORRUPT_FILES enabled0.19 secPassed
Lots of nulls0.23 secPassed
Propagate Hadoop configs from avro options to underlying file system0.37 secPassed
SPARK-24805: do not ignore files without .avro extension by default97 msPassed
SPARK-24836: checking the ignoreExtension option0.2 secPassed
SPARK-24836: ignoreExtension must override hadoop's config52 msPassed
SPARK-24881: write with compression - avro options0.61 secPassed
SPARK-27858 Union type: More than one non-null type79 msPassed
SPARK-31183: compatibility with Spark 2.4 in reading dates/timestamps3.2 secPassed
SPARK-31183: rebasing dates in write0.81 secPassed
SPARK-31183: rebasing microseconds timestamps in write0.76 secPassed
SPARK-31183: rebasing milliseconds timestamps in write1.6 secPassed
SPARK-31327: Write Spark version into Avro file metadata0.14 secPassed
SPARK-31855: generate test files for checking compatibility with Spark 2.40 msSkipped
SPARK-32346: filters pushdown to Avro datasource v20.44 secPassed
SPARK-32431: consistent error for nested and top-level duplicate columns0.25 secPassed
SPARK-33163: write the metadata key 'org.apache.spark.legacyDateTime'0.32 secPassed
SPARK-33314: RowReader doesn't over-consume when hasNextRow called twice0.29 secPassed
SPARK-33865: CREATE TABLE DDL with avro should check col name0.14 secPassed
SPARK-34133: Reading user provided schema respects case sensitivity for field matching0.16 secPassed
SPARK-34133: Writing user provided schema respects case sensitivity for field matching0.26 secPassed
SPARK-34133: Writing user provided schema with multiple matching Avro fields fails0.36 secPassed
SPARK-34229: Avro should read decimal values with the file schema0.2 secPassed
SPARK-34365: support reading renamed schema using positionalFieldMatching0.15 secPassed
SPARK-34365: support writing with renamed schema using positionalFieldMatching0.25 secPassed
SPARK-34416: support user provided avro schema url0.11 secPassed
SPARK-34416: support user provided both avro schema and avro schema url0.11 secPassed
SPARK-34416: support user provided wrong avro schema url6 msPassed
SPARK-35427: datetime rebasing in the EXCEPTION mode0.44 secPassed
SPARK-36349: disallow saving of ANSI intervals to avro35 msPassed
SQL test insert overwrite0.25 secPassed
Struct field type0.2 secPassed
Throws IOException on reading corrupt Avro file if flag IGNORE_CORRUPT_FILES disabled9 msPassed
Union of a single type74 msPassed
Validate namespace in avro file that has nested records with the same name0.12 secPassed
check empty namespace - toAvroType0 msPassed
check namespace - toAvroType0 msPassed
conversion to avro and back0.35 secPassed
conversion to avro and back with namespace0.37 secPassed
convert formats0.3 secPassed
converting some specific sparkSQL types to avro0.49 secPassed
correctly read long as date/timestamp type0.33 secPassed
does not coerce null date/timestamp value to 0 epoch.0.17 secPassed
dsl test59 msPassed
error handling for unsupported Interval data types75 msPassed
explain formatted on an avro data source v20.23 secPassed
log a warning of ignoreExtension deprecation0.22 secPassed
old avro data source name works44 msPassed
read avro file partitioned0.25 secPassed
read avro with user defined schema: read non-exist columns66 msPassed
read avro with user defined schema: read partial columns0.17 secPassed
reading and writing partitioned data0.99 secPassed
reading from invalid path throws exception64 msPassed
reading from multiple paths81 msPassed
rearrange internal schema0.17 secPassed
request no fields90 msPassed
resolve avro data source3 msPassed
saving avro that has nested records with the same name0.24 secPassed
saving avro that has nested records with the same name inside a map0.22 secPassed
saving avro that has nested records with the same name inside an array0.24 secPassed
sql test44 msPassed
support Null data types0.25 secPassed
support of globbed paths0.12 secPassed
support of various data types0.74 secPassed
support user provided avro schema0.11 secPassed
support user provided avro schema for writing / reading fields with different ordering0.4 secPassed
support user provided avro schema for writing non-nullable enum type0.42 secPassed
support user provided avro schema for writing non-nullable fixed type0.34 secPassed
support user provided avro schema for writing nullable enum type0.36 secPassed
support user provided avro schema for writing nullable fixed type0.36 secPassed
support user provided avro schema with defaults for missing fields83 msPassed
support user provided non-nullable avro schema for nullable catalyst schema without any null record0.22 secPassed
support user provided nullable avro schema for non-nullable catalyst schema without any null record94 msPassed
test load with non-Avro file0.24 secPassed
test save and load0.27 secPassed
throw exception if unable to write with user provided Avro schema0.27 secPassed
union(float, double) is read as double75 msPassed
union(float, double, null) is read as nullable double56 msPassed
union(int, long) is read as long64 msPassed
unsupported nullable avro type0.17 secPassed
write with compression - sql configs1 secPassed