Test Result : DataFrameSuite

0 failures (±0) , 2 skipped (±0)
172 tests (±0)
Took 1 min 0 sec.

All Tests

Test nameDurationStatus
Alias uses internally generated names 'aggOrder' and 'havingCondition'0.78 secPassed
CalendarInterval reflection support97 msPassed
NaN is greater than all other non-NaN numeric values0.19 secPassed
SPARK-10093: Avoid transformations on executors0.17 secPassed
SPARK-10185: Read multiple Hadoop Filesystem paths and paths with a comma in it0.76 secPassed
SPARK-10316: respect non-deterministic expressions in PhysicalOperation0.39 secPassed
SPARK-10656: completely support special chars0.11 secPassed
SPARK-10743: keep the name of expression if possible when do cast14 msPassed
SPARK-11301: fix case sensitivity for filter on partitioned columns0.4 secPassed
SPARK-11633: LogicalRDD throws TreeNode Exception: Failed to Copy Node0.26 secPassed
SPARK-11725: correctly handle null inputs for ScalaUDF0.29 secPassed
SPARK-12398 truncated toString0.32 secPassed
SPARK-12512: support `.` in column name for withColumn()0.25 secPassed
SPARK-12841: cast in filter99 msPassed
SPARK-12982: Add table name validation in temp table registration44 msPassed
SPARK-13774: Check error message for non existent path without globbed paths4 msPassed
SPARK-13774: Check error message for not existent globbed paths10 msPassed
SPARK-15230: distinct() does not handle column name with dot properly0.16 secPassed
SPARK-16181: outer join with isNull filter0.36 secPassed
SPARK-16664: persist with more than 200 columns0.88 secPassed
SPARK-17409: Do Not Optimize Query in CTAS (Data source tables) More Than Once0.32 secPassed
SPARK-17897: Fixed IsNotNull Constraint Inference Rule0.14 secPassed
SPARK-17913: compare long and string type column may return confusing result0.26 secPassed
SPARK-17957: no change on nullability in FilterExec output61 msPassed
SPARK-17957: outer join + na.fill0.42 secPassed
SPARK-17957: set nullability to false in FilterExec output0.1 secPassed
SPARK-18070 binary operator should not consider nullability when comparing input types0.11 secPassed
SPARK-18350 show with session local timezone0.13 secPassed
SPARK-18350 show with session local timezone, vertical = true0.1 secPassed
SPARK-19372: Filter can be executed w/o generated code due to JVM code size limit0 msSkipped
SPARK-19691 Calculating percentile of decimal column fails with ClassCastException0.32 secPassed
SPARK-20359: catalyst outer join optimization should not throw npe0.31 secPassed
SPARK-20897: cached self-join should not fail0.2 secPassed
SPARK-22271: mean overflows and returns null for some decimal variables0.29 secPassed
SPARK-22520: support code generation for large CaseWhen0.44 secPassed
SPARK-23023 Cast rows to strings in showString0.27 secPassed
SPARK-24165: CaseWhen/If - nullability of nested types2 secPassed
SPARK-24313: access map with binary keys0.19 secPassed
SPARK-24781: Using a reference from Dataset in Filter/Sort0.68 secPassed
SPARK-24781: Using a reference not in aggregation in Filter/Sort1.5 secPassed
SPARK-25159: json schema inference should only trigger one job0.42 secPassed
SPARK-25402 Null handling in BooleanSimplification73 msPassed
SPARK-25714 Null handling in BooleanSimplification97 msPassed
SPARK-25816 ResolveReferences works with nested extractors0.14 secPassed
SPARK-26057: attribute deduplication on already analyzed plans0.29 secPassed
SPARK-27439: Explain result should match collected result after view change0.12 secPassed
SPARK-27671: Fix analysis exception when casting null in nested field in struct0.16 secPassed
SPARK-28189 drop column using drop with column reference with case-insensitive names0.37 secPassed
SPARK-28224: Aggregate sum big decimal overflow0.44 secPassed
SPARK-29442 Set `default` mode should override the existing mode14 msPassed
SPARK-30811: CTE should not cause stack overflow when it refers to non-existent table with same name8 msPassed
SPARK-31552: array encoder with different types1.7 secPassed
SPARK-31750: eliminate UpCast if child's dataType is DecimalType0.22 secPassed
SPARK-32635: Replace references with foldables coming only from the node's children0.37 secPassed
SPARK-32680: Don't analyze CTAS with unresolved query8 msPassed
SPARK-32761: aggregating multiple distinct CONSTANT columns89 msPassed
SPARK-32764: -0.0 and 0.0 should be equal0.1 secPassed
SPARK-34318: colRegex should work with column names & qualifiers which contain newlines0.12 secPassed
SPARK-34763: col(), $"<name>", df("name") should handle quoted column name properly0.97 secPassed
SPARK-35886: PromotePrecision should be subexpr replaced0.39 secPassed
SPARK-6899: type should match when using codegen0.19 secPassed
SPARK-6941: Better error message for inserting into RDD-based Table0.75 secPassed
SPARK-7133: Implement struct, array, and map field accessor0.58 secPassed
SPARK-7319 showString38 msPassed
SPARK-7319 showString, vertical = true44 msPassed
SPARK-7324 dropDuplicates1.8 secPassed
SPARK-7327 show with empty dataFrame0.13 secPassed
SPARK-7327 show with empty dataFrame, vertical = true82 msPassed
SPARK-7551: support backticks for DataFrame attribute resolution0.34 secPassed
SPARK-8072: Better Exception for Duplicate Columns81 msPassed
SPARK-8608: call `show` on local DataFrame with random columns should return same value0.21 secPassed
SPARK-8609: local DataFrame with random columns should return same value after sort0.72 secPassed
SPARK-8621: support empty string column name20 msPassed
SPARK-8797: sort by double column containing NaN should not crash0.24 secPassed
SPARK-8797: sort by float column containing NaN should not crash0.24 secPassed
SPARK-9083: sort with non-deterministic expressions0.22 secPassed
SPARK-9323: DataFrame.orderBy should support nested column name0.26 secPassed
SPARK-9950: correctly analyze grouping/aggregating on struct fields0.3 secPassed
Sorting columns are not in Filter and Project0.49 secPassed
Star Expansion - CreateStruct and CreateArray0.78 secPassed
Star Expansion - ds.explode should fail with a meaningful message if it takes a star0.37 secPassed
Star Expansion - explode alias and star0.34 secPassed
Star Expansion - explode should fail with a meaningful message if it takes a star28 msPassed
Star Expansion - hash1.3 secPassed
Star Expansion - xxhash641.3 secPassed
Uuid expressions should produce same results at retries in the same DataFrame0.14 secPassed
access complex data0.55 secPassed
analysis error should be eagerly reported32 msPassed
apply on query results (SPARK-5462)0.17 secPassed
assertAnalyzed shouldn't replace original stack trace6 msPassed
callUDF without Hive Support0.23 secPassed
coalesce0.23 secPassed
convert $"attribute name" into unresolved attribute0.12 secPassed
convert Scala Symbol 'attrname into unresolved attribute0.16 secPassed
copy results for sampling with replacement64 msPassed
createDataFrame(RDD[Row], StructType) should convert UDTs (SPARK-6672)73 msPassed
dataframe alias51 msPassed
dataframe toString0 msPassed
describe1.1 secPassed
distributeBy and localSort0.83 secPassed
drop column after join with duplicate columns using column reference0.6 secPassed
drop column using drop0.17 secPassed
drop column using drop with column reference0.14 secPassed
drop columns using drop0.29 secPassed
drop top level columns that contains dot0.27 secPassed
drop unknown column (no-op)0.25 secPassed
drop unknown column (no-op) with column reference0.12 secPassed
drop unknown column with same name with column reference0.14 secPassed
drop(name: String) search and drop all top level columns that matchs the name0.45 secPassed
empty data frame38 msPassed
emptyDataFrame should be foldable10 msPassed
explode0.74 secPassed
explode on output of array-valued function84 msPassed
filterExpr0.65 secPassed
filterExpr using where0.17 secPassed
fix case sensitivity of partition by0.39 secPassed
getRows: array88 msPassed
getRows: binary42 msPassed
getRows: numRows = 054 msPassed
getRows: truncate = [0, 20]89 msPassed
getRows: truncate = [3, 17]82 msPassed
global sorting3.3 secPassed
groupBy.as0.64 secPassed
groupBy.as: custom grouping expressions0.73 secPassed
groupBy.as: throw AnalysisException for unresolved grouping expr19 msPassed
head, take and tail0.24 secPassed
inputFiles1.1 secPassed
limit1.1 secPassed
order-by ordinal.0.36 secPassed
rename nested groupby0.37 secPassed
repartition0.29 secPassed
repartition with SortOrder37 msPassed
repartitionByRange1.8 secPassed
replace column using withColumn98 msPassed
replace column using withColumns0.17 secPassed
reuse exchange0.67 secPassed
sameResult() on aggregate29 msPassed
sample should not duplicated the input data0.12 secPassed
select *0.16 secPassed
select with functions0.78 secPassed
selectExpr0.23 secPassed
selectExpr with alias0.16 secPassed
selectExpr with udtf0.2 secPassed
show0 msSkipped
showString(0)26 msPassed
showString(0), vertical = true35 msPassed
showString(Int.MaxValue)59 msPassed
showString(negative)38 msPassed
showString(negative), vertical = true31 msPassed
showString: array65 msPassed
showString: array, vertical = true47 msPassed
showString: binary17 msPassed
showString: binary, vertical = true15 msPassed
showString: minimum column width68 msPassed
showString: minimum column width, vertical = true49 msPassed
showString: truncate = [0, 20]88 msPassed
showString: truncate = [0, 20], vertical = true0.1 secPassed
showString: truncate = [3, 17]92 msPassed
showString: truncate = [3, 17], vertical = true81 msPassed
simple explode0.34 secPassed
simple select79 msPassed
sort after generate with join=true0.15 secPassed
sorting with null ordering3.1 secPassed
summary1.5 secPassed
summary advanced0.68 secPassed
table scan0.18 secPassed
udf0.29 secPassed
withColumn0.17 secPassed
withColumnRenamed0.2 secPassed
withColumns0.12 secPassed
withColumns: case sensitive0.22 secPassed
withColumns: given metadata12 msPassed