Test Result : DataFrameSuite

0 failures (±0) , 2 skipped (±0)
188 tests (±0)
Took 42 sec.

All Tests

Test nameDurationStatus
Alias uses internally generated names 'aggOrder' and 'havingCondition'0.35 secPassed
CalendarInterval reflection support64 msPassed
NaN is greater than all other non-NaN numeric values0.14 secPassed
SPARK-10093: Avoid transformations on executors58 msPassed
SPARK-10185: Read multiple Hadoop Filesystem paths and paths with a comma in it0.5 secPassed
SPARK-10316: respect non-deterministic expressions in PhysicalOperation0.28 secPassed
SPARK-10656: completely support special chars96 msPassed
SPARK-10743: keep the name of expression if possible when do cast8 msPassed
SPARK-11301: fix case sensitivity for filter on partitioned columns0.41 secPassed
SPARK-11633: LogicalRDD throws TreeNode Exception: Failed to Copy Node0.29 secPassed
SPARK-11725: correctly handle null inputs for ScalaUDF0.22 secPassed
SPARK-12398 truncated toString0.28 secPassed
SPARK-12512: support `.` in column name for withColumn()0.19 secPassed
SPARK-12841: cast in filter57 msPassed
SPARK-12982: Add table name validation in temp table registration30 msPassed
SPARK-13774: Check error message for non existent path without globbed paths7 msPassed
SPARK-13774: Check error message for not existent globbed paths12 msPassed
SPARK-15230: distinct() does not handle column name with dot properly0.12 secPassed
SPARK-16181: outer join with isNull filter0.25 secPassed
SPARK-16664: persist with more than 200 columns0.55 secPassed
SPARK-17409: Do Not Optimize Query in CTAS (Data source tables) More Than Once0.25 secPassed
SPARK-17897: Fixed IsNotNull Constraint Inference Rule83 msPassed
SPARK-17913: compare long and string type column may return confusing result60 msPassed
SPARK-17957: no change on nullability in FilterExec output41 msPassed
SPARK-17957: outer join + na.fill0.19 secPassed
SPARK-17957: set nullability to false in FilterExec output53 msPassed
SPARK-18070 binary operator should not consider nullability when comparing input types80 msPassed
SPARK-18350 show with session local timezone77 msPassed
SPARK-18350 show with session local timezone, vertical = true47 msPassed
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 ClassCastException0.15 secPassed
SPARK-20359: catalyst outer join optimization should not throw npe0.1 secPassed
SPARK-20897: cached self-join should not fail0.14 secPassed
SPARK-22271: mean overflows and returns null for some decimal variables0.12 secPassed
SPARK-22520: support code generation for large CaseWhen0.15 secPassed
SPARK-23023 Cast rows to strings in showString0.18 secPassed
SPARK-24165: CaseWhen/If - nullability of nested types0.76 secPassed
SPARK-24313: access map with binary keys51 msPassed
SPARK-24781: Using a reference from Dataset in Filter/Sort0.27 secPassed
SPARK-24781: Using a reference not in aggregation in Filter/Sort0.69 secPassed
SPARK-25159: json schema inference should only trigger one job0.2 secPassed
SPARK-25402 Null handling in BooleanSimplification70 msPassed
SPARK-25714 Null handling in BooleanSimplification63 msPassed
SPARK-25816 ResolveReferences works with nested extractors0.11 secPassed
SPARK-26057: attribute deduplication on already analyzed plans0.26 secPassed
SPARK-27439: Explain result should match collected result after view change86 msPassed
SPARK-27671: Fix analysis exception when casting null in nested field in struct0.1 secPassed
SPARK-28067: Aggregate sum should not return wrong results for decimal overflow3.3 secPassed
SPARK-28067: sum of null decimal values0.57 secPassed
SPARK-28189 drop column using drop with column reference with case-insensitive names0.13 secPassed
SPARK-28224: Aggregate sum big decimal overflow0.15 secPassed
SPARK-29442 Set `default` mode should override the existing mode12 msPassed
SPARK-30811: CTE should not cause stack overflow when it refers to non-existent table with same name5 msPassed
SPARK-31552: array encoder with different types1.2 secPassed
SPARK-31750: eliminate UpCast if child's dataType is DecimalType0.21 secPassed
SPARK-32635: Replace references with foldables coming only from the node's children0.34 secPassed
SPARK-32640: ln(NaN) should return NaN60 msPassed
SPARK-32680: Don't analyze CTAS with unresolved query4 msPassed
SPARK-32761: aggregating multiple distinct CONSTANT columns96 msPassed
SPARK-32764: -0.0 and 0.0 should be equal70 msPassed
SPARK-33690: showString: escape meta-characters92 msPassed
SPARK-33939: Make Column.named use UnresolvedAlias to assign name14 msPassed
SPARK-33989: Strip auto-generated cast when using Cast.sql10 msPassed
SPARK-34165: Add count_distinct to summary0.68 secPassed
SPARK-34308: printSchema: escape meta-characters6 msPassed
SPARK-34318: colRegex should work with column names & qualifiers which contain newlines88 msPassed
SPARK-34763: col(), $"<name>", df("name") should handle quoted column name properly0.78 secPassed
SPARK-34776: Nested column pruning should not prune Window produced attributes0.41 secPassed
SPARK-34806: observation on datasets72 msPassed
SPARK-34829: Multiple applications of typed ScalaUDFs in higher order functions work1.3 secPassed
SPARK-34882: Aggregate with multiple distinct null sensitive aggregators0.73 secPassed
SPARK-35410: SubExpr elimination should not include redundant child exprs for conditional expressions0.14 secPassed
SPARK-35560: Remove redundant subexpression evaluation in nested subexpressions0.16 secPassed
SPARK-35886: PromotePrecision should be subexpr replaced0.33 secPassed
SPARK-35955: Aggregate avg should not return wrong results for decimal overflow3.4 secPassed
SPARK-6899: type should match when using codegen0.15 secPassed
SPARK-6941: Better error message for inserting into RDD-based Table0.59 secPassed
SPARK-7133: Implement struct, array, and map field accessor0.32 secPassed
SPARK-7319 showString21 msPassed
SPARK-7319 showString, vertical = true20 msPassed
SPARK-7324 dropDuplicates1 secPassed
SPARK-7327 show with empty dataFrame46 msPassed
SPARK-7327 show with empty dataFrame, vertical = true37 msPassed
SPARK-7551: support backticks for DataFrame attribute resolution0.17 secPassed
SPARK-8072: Better Exception for Duplicate Columns40 msPassed
SPARK-8608: call `show` on local DataFrame with random columns should return same value0.11 secPassed
SPARK-8609: local DataFrame with random columns should return same value after sort0.44 secPassed
SPARK-8621: support empty string column name13 msPassed
SPARK-8797: sort by double column containing NaN should not crash0.12 secPassed
SPARK-8797: sort by float column containing NaN should not crash0.13 secPassed
SPARK-9083: sort with non-deterministic expressions63 msPassed
SPARK-9323: DataFrame.orderBy should support nested column name0.18 secPassed
SPARK-9950: correctly analyze grouping/aggregating on struct fields0.19 secPassed
Sorting columns are not in Filter and Project0.15 secPassed
Star Expansion - CreateStruct and CreateArray0.32 secPassed
Star Expansion - ds.explode should fail with a meaningful message if it takes a star0.11 secPassed
Star Expansion - explode alias and star88 msPassed
Star Expansion - explode should fail with a meaningful message if it takes a star13 msPassed
Star Expansion - hash0.49 secPassed
Star Expansion - xxhash640.53 secPassed
Uuid expressions should produce same results at retries in the same DataFrame75 msPassed
access complex data0.34 secPassed
analysis error should be eagerly reported74 msPassed
apply on query results (SPARK-5462)59 msPassed
assertAnalyzed shouldn't replace original stack trace4 msPassed
callUDF without Hive Support0.15 secPassed
coalesce69 msPassed
convert $"attribute name" into unresolved attribute51 msPassed
convert Scala Symbol 'attrname into unresolved attribute42 msPassed
copy results for sampling with replacement44 msPassed
createDataFrame(RDD[Row], StructType) should convert UDTs (SPARK-6672)49 msPassed
dataframe alias11 msPassed
dataframe toString0 msPassed
describe0.45 secPassed
distributeBy and localSort0.58 secPassed
drop column after join with duplicate columns using column reference0.21 secPassed
drop column using drop93 msPassed
drop column using drop with column reference52 msPassed
drop columns using drop0.14 secPassed
drop top level columns that contains dot73 msPassed
drop unknown column (no-op)47 msPassed
drop unknown column (no-op) with column reference47 msPassed
drop unknown column with same name with column reference48 msPassed
drop(name: String) search and drop all top level columns that matches the name0.16 secPassed
empty data frame24 msPassed
emptyDataFrame should be foldable5 msPassed
explode0.28 secPassed
explode on output of array-valued function61 msPassed
filterExpr0.29 secPassed
filterExpr using where68 msPassed
fix case sensitivity of partition by0.31 secPassed
getRows: array59 msPassed
getRows: binary29 msPassed
getRows: numRows = 067 msPassed
getRows: truncate = [0, 20]62 msPassed
getRows: truncate = [3, 17]54 msPassed
global sorting1.3 secPassed
groupBy.as0.52 secPassed
groupBy.as: custom grouping expressions0.36 secPassed
groupBy.as: throw AnalysisException for unresolved grouping expr11 msPassed
head, take and tail85 msPassed
inputFiles0.67 secPassed
isLocal should consider CommandResult and LocalRelation7 msPassed
limit0.39 secPassed
order-by ordinal.0.14 secPassed
rename nested groupby0.23 secPassed
repartition0.15 secPassed
repartition with SortOrder16 msPassed
repartitionByRange0.84 secPassed
replace column using withColumn44 msPassed
replace column using withColumns57 msPassed
reuse exchange0.48 secPassed
sameResult() on aggregate14 msPassed
sample should not duplicated the input data0.1 secPassed
select *76 msPassed
select with functions0.32 secPassed
selectExpr81 msPassed
selectExpr with alias70 msPassed
selectExpr with udtf0.12 secPassed
show0 msSkipped
showString(0)20 msPassed
showString(0), vertical = true25 msPassed
showString(Int.MaxValue)45 msPassed
showString(negative)20 msPassed
showString(negative), vertical = true25 msPassed
showString: array34 msPassed
showString: array, vertical = true31 msPassed
showString: binary12 msPassed
showString: binary, vertical = true9 msPassed
showString: minimum column width22 msPassed
showString: minimum column width, vertical = true23 msPassed
showString: truncate = [0, 20]55 msPassed
showString: truncate = [0, 20], vertical = true57 msPassed
showString: truncate = [3, 17]57 msPassed
showString: truncate = [3, 17], vertical = true59 msPassed
simple explode80 msPassed
simple select38 msPassed
sort after generate with join=true0.11 secPassed
sorting with null ordering1.2 secPassed
summary0.47 secPassed
summary advanced0.21 secPassed
table scan59 msPassed
udf0.16 secPassed
withColumn70 msPassed
withColumnRenamed56 msPassed
withColumns91 msPassed
withColumns: case sensitive72 msPassed
withColumns: given metadata5 msPassed