Test Result : DatasetSuite

0 failures
166 tests
Took 24 sec.

All Tests

Test nameDurationStatus
Check KeyValueGroupedDataset toString: Named KV-pair21 msPassed
Check KeyValueGroupedDataset toString: Single data15 msPassed
Check KeyValueGroupedDataset toString: Unnamed KV-pair43 msPassed
Check KeyValueGroupedDataset toString: over length schema26 msPassed
Check RelationalGroupedDataset toString: Single data5 msPassed
Check RelationalGroupedDataset toString: over length schema33 msPassed
Dataset should support flat input object to be null11 msPassed
Dataset should throw RuntimeException if top-level product input object is null7 msPassed
Dataset.checkpoint() - basic (eager = false, reliable = false)95 msPassed
Dataset.checkpoint() - basic (eager = false, reliable = true)0.13 secPassed
Dataset.checkpoint() - basic (eager = true, reliable = false)0.12 secPassed
Dataset.checkpoint() - basic (eager = true, reliable = true)0.3 secPassed
Dataset.checkpoint() - should preserve partitioning information (eager = false, reliable = false)0.17 secPassed
Dataset.checkpoint() - should preserve partitioning information (eager = false, reliable = true)0.21 secPassed
Dataset.checkpoint() - should preserve partitioning information (eager = true, reliable = false)0.17 secPassed
Dataset.checkpoint() - should preserve partitioning information (eager = true, reliable = true)0.39 secPassed
Java encoder0.11 secPassed
Java encoder self join57 msPassed
Kryo encoder0.22 secPassed
Kryo encoder self join76 msPassed
Kryo encoder: check the schema mismatch when converting DataFrame to Dataset15 msPassed
REGEX column specification0.4 secPassed
SPARK-11436: we should rebind right encoder when join 2 datasets71 msPassed
SPARK-11894: Incorrect results are returned when using null0.12 secPassed
SPARK-12404: Datatype Helper Serializability71 msPassed
SPARK-12478: top level null field0.19 secPassed
SPARK-13440: Resolving option fields62 msPassed
SPARK-13540 Dataset of nested class defined in Scala object49 msPassed
SPARK-14000: case class with tuple type field76 msPassed
SPARK-14554: Dataset.map may generate wrong java code for wide table2.2 secPassed
SPARK-14696: implicit encoders for boxed types61 msPassed
SPARK-14838: estimating sizeInBytes in operators with ObjectProducer shouldn't fail0.29 secPassed
SPARK-15097: implicits on dataset's spark can be imported45 msPassed
SPARK-15112: EmbedDeserializerInFilter should not optimize plan fragment that changes schema0.11 secPassed
SPARK-15381: physical object operator should define `reference` correctly98 msPassed
SPARK-15441: Dataset outer join0.11 secPassed
SPARK-15550 Dataset.show() should show contents of the underlying logical plan0.12 secPassed
SPARK-15550 Dataset.show() should show inner nested products as rows57 msPassed
SPARK-15632: typed filter should preserve the underlying logical schema5 msPassed
SPARK-16097: Encoders.tuple should handle null object correctly59 msPassed
SPARK-16686: Dataset.sample with seed results shouldn't depend on downstream usage0.16 secPassed
SPARK-16853: select, case class and tuple0.15 secPassed
SPARK-16995: flat mapping on Dataset containing a column created with lit/expr0.27 secPassed
SPARK-17460: the sizeInBytes in Statistics shouldn't overflow to a negative number0.17 secPassed
SPARK-18125: Spark generated code causes CompileException0.57 secPassed
SPARK-18189: Fix serialization issue in KeyValueGroupedDataset0.19 secPassed
SPARK-18284: Serializer should have correct nullable value0.26 secPassed
SPARK-18717: code generation works for both scala.collection.Map and scala.collection.immutable.Map0.37 secPassed
SPARK-18746: add implicit encoder for BigDecimal, date, timestamp0.3 secPassed
SPARK-19896: cannot have circular references in case class15 msPassed
SPARK-20125: option of map66 msPassed
SPARK-20399: do not unescaped regex pattern when ESCAPED_STRING_LITERALS is enabled0.18 secPassed
SPARK-21538: Attribute resolution inconsistency in Dataset API0.7 secPassed
SPARK-21567: Dataset should work with type alias0.34 secPassed
SPARK-22442: Generate correct field names for special characters0.22 secPassed
SPARK-22472: add null check for top-level primitive values0.3 secPassed
SPARK-23025: Add support for null type in scala reflection60 msPassed
SPARK-23614: Union produces incorrect results when caching is used0.31 secPassed
SPARK-23627: provide isEmpty in DataSet28 msPassed
SPARK-23835: null primitive data type should throw NullPointerException52 msPassed
SPARK-23862: Spark ExpressionEncoder should support Java Enum type from Scala0.26 secPassed
SPARK-24548: Dataset with tuple encoders should have correct schema0.11 secPassed
SPARK-24569: Option of primitive types are mistakenly mapped to struct type0.13 secPassed
SPARK-24571: filtering of string values by char literal0.11 secPassed
SPARK-24762: Enable top-level Option of Product encoders0.13 secPassed
SPARK-24762: Resolving Option[Product] field82 msPassed
SPARK-24762: joinWith on Option[Product]0.14 secPassed
SPARK-24762: select Option[Product] field0.15 secPassed
SPARK-24762: typed agg on Option[Product] type0.38 secPassed
SPARK-25108 Fix the show method to display the full width character alignment problem95 msPassed
SPARK-25153: Improve error messages for columns with dots/periods84 msPassed
SPARK-25942: typed aggregation on primitive type0.2 secPassed
SPARK-25942: typed aggregation on product type0.2 secPassed
SPARK-26085: fix key attribute name for atomic type for typed aggregation16 msPassed
SPARK-26233: serializer should enforce decimal precision and scale0.21 secPassed
SPARK-26366: return nulls which are not filtered in except0.19 secPassed
SPARK-26690: checkpoints should be executed with an execution id49 msPassed
SPARK-26706: Fix Cast.mayTruncate for bytes4 msPassed
SPARK-30791: sameSemantics and semanticHash work35 msPassed
SPARK-31854: Invoke in MapElementsExec should not propagate null0.15 secPassed
SPARK-32585: Support scala enumeration in ScalaReflection0.11 secPassed
SPARK-33390: Make Literal support char array0.12 secPassed
SPARK-33469: Add current_timezone function44 msPassed
SPARK-34002: Fix broken Option input/output in UDF0.19 secPassed
SPARK-34605: implicit encoder for java.time.Duration80 msPassed
SPARK-34615: implicit encoder for java.time.Period80 msPassed
SPARK-8288: class with only a companion object constructor79 msPassed
SparkSession.active should be the same instance after dataset operations4 msPassed
as case class - reordered fields by name50 msPassed
as case class - tail31 msPassed
as case class - take38 msPassed
as case class / collect43 msPassed
as map of case class - reorder fields by name71 msPassed
as seq of case class - reorder fields by name68 msPassed
as tuple50 msPassed
change encoder with compatible schema74 msPassed
checkAnswer should compare map correctly0.11 secPassed
coalesce, repartition0.14 secPassed
cogroup0.18 secPassed
cogroup with complex data0.15 secPassed
cogroup's left and right side has field with same name0.16 secPassed
collect, first, and take should use encoders for serialization76 msPassed
createTempView15 msPassed
dataset.rdd with generic case class0.13 secPassed
dropDuplicates0.49 secPassed
dropDuplicates: columns with same column name0.18 secPassed
emptyDataset37 msPassed
filter48 msPassed
filter and then select64 msPassed
foreach43 msPassed
foreachPartition34 msPassed
give nice error message when the real number of fields doesn't match encoder schema21 msPassed
groupBy function, flatMap94 msPassed
groupBy function, keys0.14 secPassed
groupBy function, map0.2 secPassed
groupBy function, mapValues, flatMap0.33 secPassed
groupBy function, reduce0.15 secPassed
groupBy single field class, count0.13 secPassed
groupBy.as0.29 secPassed
grouping key and grouped value has field with same name0.2 secPassed
identity map for primitive arrays0.3 secPassed
implicit encoder for LocalDate and Instant0.15 secPassed
isStreaming returns false for static Dataset28 msPassed
isStreaming returns true after static and streaming Dataset join14 msPassed
isStreaming returns true for streaming Dataset3 msPassed
joinWith class with primitive, toDF0.14 secPassed
joinWith join types16 msPassed
joinWith tuple with primitive, expression72 msPassed
joinWith, flat schema68 msPassed
map71 msPassed
map and group by with class data0.2 secPassed
map with type change with less attributes0.11 secPassed
map with type change with the exact matched number of attributes0.12 secPassed
mapped dataset should resolve duplicated attributes for self join0.35 secPassed
multi-level joinWith0.15 secPassed
range0.2 secPassed
reduce32 msPassed
row nullability mismatch57 msPassed
runtime null check for RowEncoder50 msPassed
runtime nullability check0.15 secPassed
sample fraction should be on interval [0, 1] without replacement4 msPassed
sample fraction should not be negative with replacement35 msPassed
sample with replacement48 msPassed
sample without replacement35 msPassed
select41 msPassed
select 221 msPassed
select 2, primitive and class68 msPassed
select 2, primitive and class, fields reordered79 msPassed
select 2, primitive and tuple65 msPassed
self join64 msPassed
support inner class in Dataset0.1 secPassed
tail should not accept minus value4 msPassed
tail with different numbers0.25 secPassed
toDS56 msPassed
toDS should compare map with byte array keys correctly0.24 secPassed
toDS with RDD0.18 secPassed
toString20 msPassed
typed aggregation: expr0.16 secPassed
typed aggregation: expr, expr0.16 secPassed
typed aggregation: expr, expr, expr0.17 secPassed
typed aggregation: expr, expr, expr, expr0.18 secPassed
typed aggregation: expr, expr, expr, expr, expr0.31 secPassed
typed aggregation: expr, expr, expr, expr, expr, expr0.33 secPassed
typed aggregation: expr, expr, expr, expr, expr, expr, expr0.33 secPassed
typed aggregation: expr, expr, expr, expr, expr, expr, expr, expr0.21 secPassed
verify mismatching field names fail with a good error34 msPassed