Test Result : JsonLegacyTimeParserSuite

0 failures (±0)
108 tests (±0)
Took 1 min 15 sec.

All Tests

Test nameDurationStatus
00.51 secPassed
0]0.42 secPassed
Applying schemas1 secPassed
Applying schemas with MapType1.1 secPassed
Casting long as timestamp0.21 secPassed
Complex field and type inferring2.4 secPassed
Complex field and type inferring with null in sampling0.28 secPassed
Corrupt records: DROPMALFORMED mode0.5 secPassed
Corrupt records: FAILFAST mode0.42 secPassed
Corrupt records: PERMISSIVE mode, with designated column for malformed records0.67 secPassed
Corrupt records: PERMISSIVE mode, without designated column for malformed records0.14 secPassed
Dataset toJSON doesn't construct rdd5 msPassed
Find compatible types even if inferred DecimalType is not capable of other IntegralType0.37 secPassed
Get compatible type8 msPassed
GetField operation on complex data type0.52 secPassed
Handling missing fields0.17 secPassed
Infer big integers correctly even when it does not fit in decimal0.27 secPassed
Infer floating-point values correctly even when it does not fit in decimal0.57 secPassed
JSON with Partition1.2 secPassed
JSONRelation equality test0.44 secPassed
Loading a JSON dataset from a text file0.73 secPassed
Loading a JSON dataset from a text file with SQL0.64 secPassed
Loading a JSON dataset prefersDecimal returns schema with float types as BigDecimal0.38 secPassed
Loading a JSON dataset primitivesAsString returns complex fields as strings2.3 secPassed
Loading a JSON dataset primitivesAsString returns schema with primitive types as strings0.7 secPassed
Parse JSON rows having an array type and a struct type in the same field0.43 secPassed
Primitive field and type inferring0.39 secPassed
SPARK-11544 test pathfilter0.96 secPassed
SPARK-12057 additional corrupt records do not throw exceptions0.21 secPassed
SPARK-12872 Support to specify the option for compression codec1.1 secPassed
SPARK-13543 Write the output as uncompressed via option()0.99 secPassed
SPARK-13953 Rename the corrupt record field via option0.18 secPassed
SPARK-18352: Expect one JSON document per file0.34 secPassed
SPARK-18352: Handle multi-line corrupt documents (FAILFAST)1.2 secPassed
SPARK-18352: Handle multi-line corrupt documents (PERMISSIVE)2.5 secPassed
SPARK-18352: Parse normal multi-line JSON files (compressed)1.1 secPassed
SPARK-18352: Parse normal multi-line JSON files (uncompressed)1.1 secPassed
SPARK-18433: Improve DataSource option keys to be more case-insensitive0.16 secPassed
SPARK-18772: Parse special floats correctly1.3 secPassed
SPARK-19641: Additional corrupt records: DROPMALFORMED mode0.18 secPassed
SPARK-19641: Handle multi-line corrupt documents (DROPMALFORMED)1.7 secPassed
SPARK-2096 Correctly parse dot notations0.57 secPassed
SPARK-21289: Support line separator - default value \r, \r\n and \n0.54 secPassed
SPARK-21289: Support line separator - lineSep: '!!!@3'1.2 secPassed
SPARK-21289: Support line separator - lineSep: ''1.2 secPassed
SPARK-21289: Support line separator - lineSep: '::'1 secPassed
SPARK-21289: Support line separator - lineSep: '^'1.7 secPassed
SPARK-21289: Support line separator - lineSep: '|'1.1 secPassed
SPARK-21289: Support line separator - lineSep: '아'1.7 secPassed
SPARK-21610: Corrupt records are not handled properly when creating a dataframe from a file0.64 secPassed
SPARK-23094: permissively parse a dataset contains JSON with leading nulls0.19 secPassed
SPARK-23094: permissively read JSON file with leading nulls when multiLine is disabled0.28 secPassed
SPARK-23094: permissively read JSON file with leading nulls when multiLine is enabled0.39 secPassed
SPARK-23723: Unsupported encoding name15 msPassed
SPARK-23723: Use user's encoding in reading of multi-line json in UTF-16LE0.18 secPassed
SPARK-23723: checking that the encoding option is case agnostic0.16 secPassed
SPARK-23723: json in UTF-16 with BOM0.21 secPassed
SPARK-23723: multi-line json in UTF-32BE with BOM0.18 secPassed
SPARK-23723: read back json in UTF-16LE1.2 secPassed
SPARK-23723: save json in UTF-32BE0.18 secPassed
SPARK-23723: save json in default encoding - UTF-80.23 secPassed
SPARK-23723: specified encoding is not matched to actual encoding89 msPassed
SPARK-23723: write json in UTF-16/32 with multiline off0.68 secPassed
SPARK-23723: wrong output encoding0.15 secPassed
SPARK-23724: checks reading json in CP1251 #60.23 secPassed
SPARK-23724: checks reading json in ISO-8859-1 #20.68 secPassed
SPARK-23724: checks reading json in US-ASCII #120.11 secPassed
SPARK-23724: checks reading json in UTF-16BE #10.31 secPassed
SPARK-23724: checks reading json in UTF-16LE #80.18 secPassed
SPARK-23724: checks reading json in UTF-32BE #100.12 secPassed
SPARK-23724: checks reading json in UTF-32BE #50.17 secPassed
SPARK-23724: checks reading json in UTF-32LE #30.17 secPassed
SPARK-23724: checks reading json in UTF-8 #00.43 secPassed
SPARK-23724: checks reading json in UTF-8 #110.2 secPassed
SPARK-23724: checks reading json in UTF-8 #40.3 secPassed
SPARK-23724: checks reading json in utf-16be #90.2 secPassed
SPARK-23724: checks reading json in utf-32le #130.21 secPassed
SPARK-23724: checks reading json in utf-8 #70.19 secPassed
SPARK-23724: lineSep should be set if encoding if different from UTF-827 msPassed
SPARK-23772 ignore column of all null values or empty array during schema inference1.4 secPassed
SPARK-23849: usage of samplingRatio while parsing a dataset of strings0.31 secPassed
SPARK-24190: restrictions for JSONOptions in read45 msPassed
SPARK-25040: allowing empty strings when legacy config is enabled2.5 secPassed
SPARK-25040: empty strings should be disallowed2 secPassed
SPARK-26745: count() for non-multiline input with empty lines0.45 secPassed
SPARK-30960, SPARK-31641: parse date/timestamp string with legacy format0.48 secPassed
SPARK-3308 Read top level JSON arrays0.23 secPassed
SPARK-3390 Complex arrays0.71 secPassed
SPARK-4068: nulls in arrays0.46 secPassed
SPARK-4228 DataFrame to JSON6.2 secPassed
SPARK-7565 MapType in JsonRDD1 secPassed
SPARK-8093 Erase empty structs48 msPassed
Throw an exception if a `columnNameOfCorruptRecord` field violates requirements0.4 secPassed
Type conflict in array elements0.66 secPassed
Type conflict in complex field values0.55 secPassed
Type conflict in primitive field values2.5 secPassed
Type promotion59 msPassed
Write dates correctly with dateFormat option0.35 secPassed
Write timestamps correctly with timestampFormat option0.35 secPassed
Write timestamps correctly with timestampFormat option and timeZone option0.57 secPassed
backward compatibility1.9 secPassed
count() for malformed input0.86 secPassed
exception mode for parsing date/timestamp string0.3 secPassed
infer on empty RDD30 msPassed
inferring timestamp type0.98 secPassed
return partial result for bad records0.24 secPassed
roundtrip for timestamp type inferring0.71 secPassed
wide nested json table0.54 secPassed