Test Result : DataFrameSuite

0 failures , 2 skipped
182 tests
Took 41 sec.

All Tests

Test nameDurationStatus
Alias uses internally generated names 'aggOrder' and 'havingCondition'0.51 secPassed
CalendarInterval reflection support0.1 secPassed
NaN is greater than all other non-NaN numeric values0.17 secPassed
SPARK-10093: Avoid transformations on executors0.14 secPassed
SPARK-10185: Read multiple Hadoop Filesystem paths and paths with a comma in it0.41 secPassed
SPARK-10316: respect non-deterministic expressions in PhysicalOperation0.24 secPassed
SPARK-10656: completely support special chars83 msPassed
SPARK-10743: keep the name of expression if possible when do cast12 msPassed
SPARK-11301: fix case sensitivity for filter on partitioned columns0.28 secPassed
SPARK-11633: LogicalRDD throws TreeNode Exception: Failed to Copy Node0.19 secPassed
SPARK-11725: correctly handle null inputs for ScalaUDF0.23 secPassed
SPARK-12398 truncated toString0.35 secPassed
SPARK-12512: support `.` in column name for withColumn()0.2 secPassed
SPARK-12841: cast in filter61 msPassed
SPARK-12982: Add table name validation in temp table registration42 msPassed
SPARK-13774: Check error message for non existent path without globbed paths10 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 filter0.22 secPassed
SPARK-16664: persist with more than 200 columns0.6 secPassed
SPARK-17409: Do Not Optimize Query in CTAS (Data source tables) More Than Once0.18 secPassed
SPARK-17897: Fixed IsNotNull Constraint Inference Rule0.1 secPassed
SPARK-17913: compare long and string type column may return confusing result79 msPassed
SPARK-17957: no change on nullability in FilterExec output53 msPassed
SPARK-17957: outer join + na.fill0.23 secPassed
SPARK-17957: set nullability to false in FilterExec output59 msPassed
SPARK-18070 binary operator should not consider nullability when comparing input types84 msPassed
SPARK-18350 show with session local timezone88 msPassed
SPARK-18350 show with session local timezone, vertical = true51 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 ClassCastException0.14 secPassed
SPARK-20359: catalyst outer join optimization should not throw npe0.12 secPassed
SPARK-20897: cached self-join should not fail0.13 secPassed
SPARK-22271: mean overflows and returns null for some decimal variables0.14 secPassed
SPARK-22520: support code generation for large CaseWhen0.24 secPassed
SPARK-23023 Cast rows to strings in showString0.22 secPassed
SPARK-24165: CaseWhen/If - nullability of nested types0.75 secPassed
SPARK-24313: access map with binary keys57 msPassed
SPARK-24781: Using a reference from Dataset in Filter/Sort0.31 secPassed
SPARK-24781: Using a reference not in aggregation in Filter/Sort0.62 secPassed
SPARK-25159: json schema inference should only trigger one job0.16 secPassed
SPARK-25402 Null handling in BooleanSimplification78 msPassed
SPARK-25714 Null handling in BooleanSimplification83 msPassed
SPARK-25816 ResolveReferences works with nested extractors0.14 secPassed
SPARK-26057: attribute deduplication on already analyzed plans0.2 secPassed
SPARK-27439: Explain result should match collected result after view change90 msPassed
SPARK-27671: Fix analysis exception when casting null in nested field in struct0.12 secPassed
SPARK-28067: Aggregate sum should not return wrong results for decimal overflow5.4 secPassed
SPARK-28067: sum of null decimal values0.48 secPassed
SPARK-28189 drop column using drop with column reference with case-insensitive names0.11 secPassed
SPARK-28224: Aggregate sum big decimal overflow0.22 secPassed
SPARK-29442 Set `default` mode should override the existing mode18 msPassed
SPARK-30811: CTE should not cause stack overflow when it refers to non-existent table with same name6 msPassed
SPARK-31552: array encoder with different types1.5 secPassed
SPARK-31750: eliminate UpCast if child's dataType is DecimalType0.13 secPassed
SPARK-32635: Replace references with foldables coming only from the node's children0.32 secPassed
SPARK-32640: ln(NaN) should return NaN71 msPassed
SPARK-32680: Don't analyze CTAS with unresolved query6 msPassed
SPARK-32761: aggregating multiple distinct CONSTANT columns84 msPassed
SPARK-32764: -0.0 and 0.0 should be equal93 msPassed
SPARK-33690: showString: escape meta-characters0.1 secPassed
SPARK-33939: Make Column.named use UnresolvedAlias to assign name16 msPassed
SPARK-33989: Strip auto-generated cast when using Cast.sql20 msPassed
SPARK-34165: Add count_distinct to summary0.52 secPassed
SPARK-34308: printSchema: escape meta-characters9 msPassed
SPARK-34318: colRegex should work with column names & qualifiers which contain newlines87 msPassed
SPARK-34763: col(), $"<name>", df("name") should handle quoted column name properly0.61 secPassed
SPARK-34776: Nested column pruning should not prune Window produced attributes0.46 secPassed
SPARK-34829: Multiple applications of typed ScalaUDFs in higher order functions work1.4 secPassed
SPARK-34882: Aggregate with multiple distinct null sensitive aggregators0.73 secPassed
SPARK-6899: type should match when using codegen0.13 secPassed
SPARK-6941: Better error message for inserting into RDD-based Table0.48 secPassed
SPARK-7133: Implement struct, array, and map field accessor0.32 secPassed
SPARK-7319 showString23 msPassed
SPARK-7319 showString, vertical = true24 msPassed
SPARK-7324 dropDuplicates1.1 secPassed
SPARK-7327 show with empty dataFrame53 msPassed
SPARK-7327 show with empty dataFrame, vertical = true32 msPassed
SPARK-7551: support backticks for DataFrame attribute resolution0.17 secPassed
SPARK-8072: Better Exception for Duplicate Columns62 msPassed
SPARK-8608: call `show` on local DataFrame with random columns should return same value0.13 secPassed
SPARK-8609: local DataFrame with random columns should return same value after sort0.48 secPassed
SPARK-8621: support empty string column name19 msPassed
SPARK-8797: sort by double column containing NaN should not crash0.14 secPassed
SPARK-8797: sort by float column containing NaN should not crash0.15 secPassed
SPARK-9083: sort with non-deterministic expressions65 msPassed
SPARK-9323: DataFrame.orderBy should support nested column name0.23 secPassed
SPARK-9950: correctly analyze grouping/aggregating on struct fields0.22 secPassed
Sorting columns are not in Filter and Project0.19 secPassed
Star Expansion - CreateStruct and CreateArray0.54 secPassed
Star Expansion - ds.explode should fail with a meaningful message if it takes a star0.11 secPassed
Star Expansion - explode alias and star0.11 secPassed
Star Expansion - explode should fail with a meaningful message if it takes a star20 msPassed
Star Expansion - hash0.73 secPassed
Star Expansion - xxhash640.63 secPassed
Uuid expressions should produce same results at retries in the same DataFrame87 msPassed
access complex data0.26 secPassed
analysis error should be eagerly reported22 msPassed
apply on query results (SPARK-5462)66 msPassed
assertAnalyzed shouldn't replace original stack trace7 msPassed
callUDF without Hive Support0.1 secPassed
coalesce85 msPassed
convert $"attribute name" into unresolved attribute60 msPassed
convert Scala Symbol 'attrname into unresolved attribute43 msPassed
copy results for sampling with replacement53 msPassed
createDataFrame(RDD[Row], StructType) should convert UDTs (SPARK-6672)54 msPassed
dataframe alias26 msPassed
dataframe toString0 msPassed
describe0.48 secPassed
distributeBy and localSort0.62 secPassed
drop column after join with duplicate columns using column reference0.27 secPassed
drop column using drop70 msPassed
drop column using drop with column reference52 msPassed
drop columns using drop72 msPassed
drop top level columns that contains dot0.11 secPassed
drop unknown column (no-op)47 msPassed
drop unknown column (no-op) with column reference52 msPassed
drop unknown column with same name with column reference52 msPassed
drop(name: String) search and drop all top level columns that matches the name0.18 secPassed
empty data frame35 msPassed
emptyDataFrame should be foldable7 msPassed
explode0.43 secPassed
explode on output of array-valued function83 msPassed
filterExpr0.32 secPassed
filterExpr using where70 msPassed
fix case sensitivity of partition by0.21 secPassed
getRows: array72 msPassed
getRows: binary37 msPassed
getRows: numRows = 049 msPassed
getRows: truncate = [0, 20]68 msPassed
getRows: truncate = [3, 17]51 msPassed
global sorting1.2 secPassed
groupBy.as0.4 secPassed
groupBy.as: custom grouping expressions0.4 secPassed
groupBy.as: throw AnalysisException for unresolved grouping expr18 msPassed
head, take and tail0.1 secPassed
inputFiles0.49 secPassed
limit0.44 secPassed
order-by ordinal.0.21 secPassed
rename nested groupby0.26 secPassed
repartition0.1 secPassed
repartition with SortOrder24 msPassed
repartitionByRange0.75 secPassed
replace column using withColumn53 msPassed
replace column using withColumns66 msPassed
reuse exchange0.51 secPassed
sameResult() on aggregate21 msPassed
sample should not duplicated the input data0.15 secPassed
select *50 msPassed
select with functions0.33 secPassed
selectExpr0.1 secPassed
selectExpr with alias0.1 secPassed
selectExpr with udtf0.11 secPassed
show0 msSkipped
showString(0)22 msPassed
showString(0), vertical = true22 msPassed
showString(Int.MaxValue)49 msPassed
showString(negative)23 msPassed
showString(negative), vertical = true22 msPassed
showString: array32 msPassed
showString: array, vertical = true32 msPassed
showString: binary13 msPassed
showString: binary, vertical = true13 msPassed
showString: minimum column width27 msPassed
showString: minimum column width, vertical = true26 msPassed
showString: truncate = [0, 20]53 msPassed
showString: truncate = [0, 20], vertical = true56 msPassed
showString: truncate = [3, 17]53 msPassed
showString: truncate = [3, 17], vertical = true92 msPassed
simple explode0.29 secPassed
simple select43 msPassed
sort after generate with join=true0.11 secPassed
sorting with null ordering1.2 secPassed
summary0.5 secPassed
summary advanced0.28 secPassed
table scan94 msPassed
udf0.15 secPassed
withColumn83 msPassed
withColumnRenamed62 msPassed
withColumns89 msPassed
withColumns: case sensitive62 msPassed
withColumns: given metadata9 msPassed