Details for spark-branch-1.6-test-maven-pre-yarn-1.2.1 build #77

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Duration
210 minutes
Start time
2016-01-29 21:55:12 ()
Commit
84dab7260e9a33586ad4002cd826a5ae7c8c4141
Executor
amp-jenkins-worker-02
Status
ABORTED

Failed tests

org.apache.spark.sql.hive.HiveDataFrameWindowSuite: reuse window partitionBy 20 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: reuse window orderBy 14 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: lead 13 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: lag 12 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: lead with default value 14 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: lag with default value 14 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: rank functions in unspecific window 40 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: aggregation and rows between 14 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: aggregation and range betweens 13 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: aggregation and rows betweens with unbounded 22 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: aggregation and range betweens with unbounded 25 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: reverse sliding range frame 17 ms
org.apache.spark.sql.hive.HiveDataFrameWindowSuite: reverse unbounded range frame 12 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: persistent JSON table 7 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: persistent JSON table with a user specified schema 7 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: persistent JSON table with a user specified schema with a subset of fields 7 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: resolve shortened provider names 5 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: drop table 5 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: check change without refresh 7 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: drop, change, recreate 3 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: invalidate cache and reload 6 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: CTAS 6 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: CTAS with IF NOT EXISTS 5 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: CTAS a managed table 5 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: SPARK-5286 Fail to drop an invalid table when using the data source API 5 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: SPARK-5839 HiveMetastoreCatalog does not recognize table aliases of data source tables. 10 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: save table 10 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: create external table 4 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: scan a parquet table created through a CTAS statement 16 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: Pre insert nullability check (ArrayType) 10 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: Pre insert nullability check (MapType) 10 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: SPARK-6024 wide schema support 160 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: SPARK-6655 still support a schema stored in spark.sql.sources.schema 7 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: Saving partition columns information 15 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: insert into a table 12 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: SPARK-8156:create table to specific database by 'use dbname' 10 ms
org.apache.spark.sql.hive.MetastoreDataSourcesSuite: skip hive metadata on table creation 3 ms
org.apache.spark.sql.hive.ParquetHiveCompatibilitySuite: simple primitives 16 ms
org.apache.spark.sql.hive.ParquetHiveCompatibilitySuite: SPARK-10177 timestamp 11 ms
org.apache.spark.sql.hive.ParquetHiveCompatibilitySuite: array 13 ms
org.apache.spark.sql.hive.ParquetHiveCompatibilitySuite: map 12 ms
org.apache.spark.sql.hive.ParquetHiveCompatibilitySuite: struct 12 ms
org.apache.spark.sql.hive.QueryPartitionSuite: SPARK-5068: query data when path doesn't exist 1 ms
org.apache.spark.sql.hive.UDFSuite: UDF case insensitive 37 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - StringType 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - BinaryType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - BooleanType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - ByteType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - ShortType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - IntegerType 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - LongType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - FloatType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - DoubleType 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - DecimalType(25,5) 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - DecimalType(6,5) 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - DateType 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - TimestampType 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - ArrayType(IntegerType,true) 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - MapType(StringType,LongType,true) 22 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: test all data types - StructType(StructField(f1,FloatType,true), StructField(f2,ArrayType(BooleanType,true),true)) 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - non-partitioned table - Overwrite 7 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - non-partitioned table - Append 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - non-partitioned table - ErrorIfExists 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - non-partitioned table - Ignore 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - simple queries 13 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - Overwrite 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - Append 3 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - Append - new partition values 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - ErrorIfExists 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - Ignore 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - non-partitioned table - Overwrite 5 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - non-partitioned table - Append 4 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - partitioned table - simple queries 5 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - partitioned table - boolean type 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - partitioned table - Overwrite 11 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - partitioned table - Append 6 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - partitioned table - Append - new partition values 6 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: saveAsTable()/load() - partitioned table - Append - mismatched partition columns 9 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: Hadoop style globbing 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-9735 Partition column type casting 16 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-7616: adjust column name order accordingly when saving partitioned table 7 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-8406: Avoids name collision while writing files 0 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-8578 specified custom output committer will not be used to append data 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-8887: Explicitly define which data types can be used as dynamic partition columns 9 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-9899 Disable customized output committer when speculation is on 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: HadoopFsRelation produces UnsafeRow 2 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: save()/load() - partitioned table - simple queries - partition columns in data 1 ms
org.apache.spark.sql.hive.orc.OrcHadoopFsRelationSuite: SPARK-12218: 'Not' is included in ORC filter pushdown 4 ms
org.apache.spark.sql.sources.CommitFailureTestRelationSuite: SPARK-7684: commitTask() failure should fallback to abortTask() 1 ms
org.apache.spark.sql.sources.JsonHadoopFsRelationSuite: HadoopFsRelation produces UnsafeRow 6775418 ms
org.apache.spark.sql.sources.JsonHadoopFsRelationSuite: save()/load() - partitioned table - simple queries - partition columns in data 1 ms
org.apache.spark.sql.sources.JsonHadoopFsRelationSuite: SPARK-9894: save complex types to JSON 1 ms
org.apache.spark.sql.sources.JsonHadoopFsRelationSuite: SPARK-10196: save decimal type to JSON 1 ms

Test time report

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