[SPARK-19660][CORE][SQL] Replace the configuration property names that are deprecated in the version of Hadoop 2.6
## What changes were proposed in this pull request? Replace all the Hadoop deprecated configuration property names according to [DeprecatedProperties](https://hadoop.apache.org/docs/r2.6.0/hadoop-project-dist/hadoop-common/DeprecatedProperties.html). except: https://github.com/apache/spark/blob/v2.1.0/python/pyspark/sql/tests.py#L1533 https://github.com/apache/spark/blob/v2.1.0/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala#L987 https://github.com/apache/spark/blob/v2.1.0/sql/core/src/main/scala/org/apache/spark/sql/execution/command/SetCommand.scala#L45 https://github.com/apache/spark/blob/v2.1.0/sql/core/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L614 ## How was this patch tested? Existing tests Author: Yuming Wang <wgy...@gmail.com> Closes #16990 from wangyum/HadoopDeprecatedProperties. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/9b8eca65 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/9b8eca65 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/9b8eca65 Branch: refs/heads/master Commit: 9b8eca65dcf68129470ead39362ce870ffb0bb1d Parents: a350bc1 Author: Yuming Wang <wgy...@gmail.com> Authored: Tue Feb 28 10:13:42 2017 +0000 Committer: Sean Owen <so...@cloudera.com> Committed: Tue Feb 28 10:13:42 2017 +0000 ---------------------------------------------------------------------- R/WINDOWS.md | 2 +- R/run-tests.sh | 2 +- appveyor.yml | 2 +- .../io/HadoopMapReduceCommitProtocol.scala | 10 ++--- .../io/SparkHadoopMapReduceWriter.scala | 2 +- .../scala/org/apache/spark/rdd/HadoopRDD.scala | 10 ++--- .../org/apache/spark/rdd/PairRDDFunctions.scala | 9 ++-- .../test/scala/org/apache/spark/FileSuite.scala | 5 ++- docs/hardware-provisioning.md | 4 +- python/pyspark/tests.py | 47 ++++++++++---------- .../spark/sql/execution/command/tables.scala | 4 +- .../datasources/FileFormatWriter.scala | 10 ++--- .../HiveWindowFunctionQuerySuite.scala | 8 ++-- .../org/apache/spark/sql/hive/TableReader.scala | 8 ++-- .../hive/execution/InsertIntoHiveTable.scala | 15 ++++--- .../apache/spark/sql/hive/test/TestHive.scala | 2 +- ...4_hadoop20-2-2b9ccaa793eae0e73bf76335d3d6880 | 1 + ..._hadoop20-2-db1cd54a4cb36de2087605f32e41824f | 1 - .../combine1-2-6142f47d3fcdd4323162014d5eb35e07 | 1 + .../combine1-2-c95dc367df88c9e5cf77157f29ba2daf | 1 - .../combine1-3-10266e3d5dd4c841c0d65030b1edba7c | 1 + .../combine1-3-6e53a3ac93113f20db3a12f1dcf30e86 | 1 - .../combine1-4-84967075baa3e56fff2a23f8ab9ba076 | 1 - .../combine1-4-9cbd6d400fb6c3cd09010e3dbd76601 | 1 + .../combine1-5-1ba2d6f3bb3348da3fee7fab4f283f34 | 1 + .../combine1-5-2ee5d706fe3a3bcc38b795f6e94970ea | 1 - .../combine2-2-6142f47d3fcdd4323162014d5eb35e07 | 1 + .../combine2-2-c95dc367df88c9e5cf77157f29ba2daf | 1 - .../combine2-3-10266e3d5dd4c841c0d65030b1edba7c | 1 + .../combine2-3-6e53a3ac93113f20db3a12f1dcf30e86 | 1 - .../combine2-4-84967075baa3e56fff2a23f8ab9ba076 | 1 - .../combine2-4-9cbd6d400fb6c3cd09010e3dbd76601 | 1 + .../combine2-5-1ba2d6f3bb3348da3fee7fab4f283f34 | 1 + .../combine2-5-2ee5d706fe3a3bcc38b795f6e94970ea | 1 - .../groupby1-3-c8478dac3497697b4375ee35118a5c3e | 1 + .../groupby1-3-d57ed4bbfee1ffaffaeba0a4be84c31d | 1 - .../groupby1-5-c9cee6382b64bd3d71177527961b8be2 | 1 + .../groupby1-5-dd7bf298b8c921355edd8665c6b0c168 | 1 - ...by1_limit-0-83c59d378571a6e487aa20217bd87817 | 1 - ...by1_limit-0-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby1_map-2-83c59d378571a6e487aa20217bd87817 | 1 - ...upby1_map-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y1_noskew-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y1_noskew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...by2_limit-0-83c59d378571a6e487aa20217bd87817 | 1 - ...by2_limit-0-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby2_map-2-83c59d378571a6e487aa20217bd87817 | 1 - ...upby2_map-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y2_noskew-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y2_noskew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby4_map-2-83c59d378571a6e487aa20217bd87817 | 1 - ...upby4_map-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y4_noskew-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y4_noskew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby5_map-2-83c59d378571a6e487aa20217bd87817 | 1 - ...upby5_map-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y5_noskew-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y5_noskew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby6_map-2-83c59d378571a6e487aa20217bd87817 | 1 - ...upby6_map-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y6_noskew-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y6_noskew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby7_map-3-83c59d378571a6e487aa20217bd87817 | 1 - ...upby7_map-3-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...e_reducer-2-83c59d378571a6e487aa20217bd87817 | 1 - ...e_reducer-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y7_noskew-3-83c59d378571a6e487aa20217bd87817 | 1 - ...y7_noskew-3-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...e_reducer-2-83c59d378571a6e487aa20217bd87817 | 1 - ...e_reducer-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...upby8_map-2-83c59d378571a6e487aa20217bd87817 | 1 - ...upby8_map-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ..._map_skew-2-83c59d378571a6e487aa20217bd87817 | 1 - ..._map_skew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y8_noskew-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y8_noskew-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...y_map_ppr-2-83c59d378571a6e487aa20217bd87817 | 1 - ...y_map_ppr-2-be2c0b32a02a1154bfdee1a52530f387 | 1 + ...2_hadoop20-0-2b9ccaa793eae0e73bf76335d3d6880 | 1 + ..._hadoop20-0-db1cd54a4cb36de2087605f32e41824f | 1 - ...uencefile-0-68975193b30cb34102b380e647d8d5f4 | 1 - ...uencefile-0-dd959af1968381d0ed90178d349b01a7 | 1 + ...uencefile-1-1c0f3be2d837dee49312e0a80440447e | 1 - ...uencefile-1-ddbb8d5e5dc0988bda96ac2b4aec8f94 | 1 + ...uencefile-5-25715870c569b0f8c3d483e3a38b3199 | 1 + ...uencefile-5-3708198aac609695b22e19e89306034c | 1 - ...4_hadoop20-1-2b9ccaa793eae0e73bf76335d3d6880 | 1 + ..._hadoop20-1-db1cd54a4cb36de2087605f32e41824f | 1 - 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.../clientpositive/bucketizedhiveinputformat.q | 2 +- .../src/test/queries/clientpositive/combine1.q | 10 ++--- .../src/test/queries/clientpositive/combine2.q | 10 ++--- .../queries/clientpositive/combine2_hadoop20.q | 10 ++--- .../test/queries/clientpositive/combine2_win.q | 8 ++-- .../src/test/queries/clientpositive/combine3.q | 8 ++-- .../src/test/queries/clientpositive/create_1.q | 2 +- .../test/queries/clientpositive/ctas_hadoop20.q | 2 +- .../src/test/queries/clientpositive/groupby1.q | 4 +- .../queries/clientpositive/groupby1_limit.q | 2 +- .../test/queries/clientpositive/groupby1_map.q | 2 +- .../queries/clientpositive/groupby1_map_skew.q | 2 +- .../queries/clientpositive/groupby1_noskew.q | 2 +- .../queries/clientpositive/groupby2_limit.q | 2 +- .../test/queries/clientpositive/groupby2_map.q | 2 +- .../groupby2_map_multi_distinct.q | 2 +- .../queries/clientpositive/groupby2_map_skew.q | 2 +- .../queries/clientpositive/groupby2_noskew.q | 2 +- .../groupby2_noskew_multi_distinct.q | 2 +- .../test/queries/clientpositive/groupby3_map.q | 2 +- .../groupby3_map_multi_distinct.q | 2 +- .../queries/clientpositive/groupby3_map_skew.q | 2 +- .../queries/clientpositive/groupby3_noskew.q | 2 +- .../groupby3_noskew_multi_distinct.q | 2 +- .../test/queries/clientpositive/groupby4_map.q | 2 +- .../queries/clientpositive/groupby4_map_skew.q | 2 +- .../queries/clientpositive/groupby4_noskew.q | 2 +- .../test/queries/clientpositive/groupby5_map.q | 2 +- .../queries/clientpositive/groupby5_map_skew.q | 2 +- .../queries/clientpositive/groupby5_noskew.q | 2 +- .../test/queries/clientpositive/groupby6_map.q | 2 +- .../queries/clientpositive/groupby6_map_skew.q | 2 +- .../queries/clientpositive/groupby6_noskew.q | 2 +- .../test/queries/clientpositive/groupby7_map.q | 2 +- .../groupby7_map_multi_single_reducer.q | 2 +- .../queries/clientpositive/groupby7_map_skew.q | 2 +- .../queries/clientpositive/groupby7_noskew.q | 2 +- .../groupby7_noskew_multi_single_reducer.q | 2 +- .../test/queries/clientpositive/groupby8_map.q | 2 +- .../queries/clientpositive/groupby8_map_skew.q | 2 +- .../queries/clientpositive/groupby8_noskew.q | 2 +- .../queries/clientpositive/groupby_map_ppr.q | 2 +- .../groupby_map_ppr_multi_distinct.q | 2 +- .../queries/clientpositive/groupby_sort_1.q | 2 +- .../clientpositive/groupby_sort_skew_1.q | 2 +- .../queries/clientpositive/hook_context_cs.q | 2 +- .../clientpositive/infer_bucket_sort_dyn_part.q | 2 +- .../clientpositive/infer_bucket_sort_merge.q | 2 +- .../infer_bucket_sort_num_buckets.q | 2 +- .../queries/clientpositive/input12_hadoop20.q | 2 +- .../queries/clientpositive/input39_hadoop20.q | 4 +- .../clientpositive/input_testsequencefile.q | 6 +-- .../queries/clientpositive/join14_hadoop20.q | 2 +- .../queries/clientpositive/leftsemijoin_mr.q | 2 +- .../ql/src/test/queries/clientpositive/merge2.q | 8 ++-- .../test/queries/clientpositive/orc_createas1.q | 4 +- .../test/queries/clientpositive/orc_ppd_char.q | 4 +- .../test/queries/clientpositive/orc_ppd_date.q | 4 +- .../queries/clientpositive/orc_ppd_decimal.q | 4 +- .../queries/clientpositive/orc_ppd_varchar.q | 4 +- .../clientpositive/orc_split_elimination.q | 4 +- .../src/test/queries/clientpositive/parallel.q | 2 +- .../queries/clientpositive/parallel_orderby.q | 2 +- .../queries/clientpositive/rcfile_createas1.q | 4 +- .../clientpositive/rcfile_lazydecompress.q | 4 +- .../test/queries/clientpositive/rcfile_merge1.q | 2 +- .../test/queries/clientpositive/rcfile_merge2.q | 4 +- .../test/queries/clientpositive/rcfile_merge3.q | 4 +- .../test/queries/clientpositive/rcfile_merge4.q | 4 +- .../clientpositive/sample_islocalmode_hook.q | 8 ++-- .../sample_islocalmode_hook_hadoop20.q | 12 ++--- .../test/queries/clientpositive/split_sample.q | 18 ++++---- .../queries/clientpositive/stats_partscan_1.q | 10 ++--- .../clientpositive/stats_partscan_1_23.q | 10 ++--- .../clientpositive/udaf_context_ngrams.q | 2 +- .../test/queries/clientpositive/udaf_ngrams.q | 2 +- 195 files changed, 263 insertions(+), 255 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/R/WINDOWS.md ---------------------------------------------------------------------- diff --git a/R/WINDOWS.md b/R/WINDOWS.md index 1afcbfc..cb2eebb 100644 --- a/R/WINDOWS.md +++ b/R/WINDOWS.md @@ -38,6 +38,6 @@ To run the SparkR unit tests on Windows, the following steps are required âass ``` R -e "install.packages('testthat', repos='http://cran.us.r-project.org')" - .\bin\spark-submit2.cmd --conf spark.hadoop.fs.default.name="file:///" R\pkg\tests\run-all.R + .\bin\spark-submit2.cmd --conf spark.hadoop.fs.defaultFS="file:///" R\pkg\tests\run-all.R ``` http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/R/run-tests.sh ---------------------------------------------------------------------- diff --git a/R/run-tests.sh b/R/run-tests.sh index 5e4dafa..742a2c5 100755 --- a/R/run-tests.sh +++ b/R/run-tests.sh @@ -23,7 +23,7 @@ FAILED=0 LOGFILE=$FWDIR/unit-tests.out rm -f $LOGFILE -SPARK_TESTING=1 $FWDIR/../bin/spark-submit --driver-java-options "-Dlog4j.configuration=file:$FWDIR/log4j.properties" --conf spark.hadoop.fs.default.name="file:///" $FWDIR/pkg/tests/run-all.R 2>&1 | tee -a $LOGFILE +SPARK_TESTING=1 $FWDIR/../bin/spark-submit --driver-java-options "-Dlog4j.configuration=file:$FWDIR/log4j.properties" --conf spark.hadoop.fs.defaultFS="file:///" $FWDIR/pkg/tests/run-all.R 2>&1 | tee -a $LOGFILE FAILED=$((PIPESTATUS[0]||$FAILED)) NUM_TEST_WARNING="$(grep -c -e 'Warnings ----------------' $LOGFILE)" http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/appveyor.yml ---------------------------------------------------------------------- diff --git a/appveyor.yml b/appveyor.yml index 6bc66c0..5adf1b4 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -46,7 +46,7 @@ build_script: - cmd: mvn -DskipTests -Psparkr -Phive -Phive-thriftserver package test_script: - - cmd: .\bin\spark-submit2.cmd --conf spark.hadoop.fs.default.name="file:///" R\pkg\tests\run-all.R + - cmd: .\bin\spark-submit2.cmd --conf spark.hadoop.fs.defaultFS="file:///" R\pkg\tests\run-all.R notifications: - provider: Email http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala b/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala index 2c1b563..22e2679 100644 --- a/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala +++ b/core/src/main/scala/org/apache/spark/internal/io/HadoopMapReduceCommitProtocol.scala @@ -113,11 +113,11 @@ class HadoopMapReduceCommitProtocol(jobId: String, path: String) val taskAttemptId = new TaskAttemptID(taskId, 0) // Set up the configuration object - jobContext.getConfiguration.set("mapred.job.id", jobId.toString) - jobContext.getConfiguration.set("mapred.tip.id", taskAttemptId.getTaskID.toString) - jobContext.getConfiguration.set("mapred.task.id", taskAttemptId.toString) - jobContext.getConfiguration.setBoolean("mapred.task.is.map", true) - jobContext.getConfiguration.setInt("mapred.task.partition", 0) + jobContext.getConfiguration.set("mapreduce.job.id", jobId.toString) + jobContext.getConfiguration.set("mapreduce.task.id", taskAttemptId.getTaskID.toString) + jobContext.getConfiguration.set("mapreduce.task.attempt.id", taskAttemptId.toString) + jobContext.getConfiguration.setBoolean("mapreduce.task.ismap", true) + jobContext.getConfiguration.setInt("mapreduce.task.partition", 0) val taskAttemptContext = new TaskAttemptContextImpl(jobContext.getConfiguration, taskAttemptId) committer = setupCommitter(taskAttemptContext) http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala b/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala index 1e0a1e6..659ad5d 100644 --- a/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala +++ b/core/src/main/scala/org/apache/spark/internal/io/SparkHadoopMapReduceWriter.scala @@ -79,7 +79,7 @@ object SparkHadoopMapReduceWriter extends Logging { val committer = FileCommitProtocol.instantiate( className = classOf[HadoopMapReduceCommitProtocol].getName, jobId = stageId.toString, - outputPath = conf.value.get("mapred.output.dir"), + outputPath = conf.value.get("mapreduce.output.fileoutputformat.outputdir"), isAppend = false).asInstanceOf[HadoopMapReduceCommitProtocol] committer.setupJob(jobContext) http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala index 5fa6a7e..4bf8ecc 100644 --- a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala @@ -365,11 +365,11 @@ private[spark] object HadoopRDD extends Logging { val jobID = new JobID(jobTrackerId, jobId) val taId = new TaskAttemptID(new TaskID(jobID, TaskType.MAP, splitId), attemptId) - conf.set("mapred.tip.id", taId.getTaskID.toString) - conf.set("mapred.task.id", taId.toString) - conf.setBoolean("mapred.task.is.map", true) - conf.setInt("mapred.task.partition", splitId) - conf.set("mapred.job.id", jobID.toString) + conf.set("mapreduce.task.id", taId.getTaskID.toString) + conf.set("mapreduce.task.attempt.id", taId.toString) + conf.setBoolean("mapreduce.task.ismap", true) + conf.setInt("mapreduce.task.partition", splitId) + conf.set("mapreduce.job.id", jobID.toString) } /** http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala ---------------------------------------------------------------------- diff --git a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala index 567a318..52ce03f 100644 --- a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala +++ b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala @@ -998,7 +998,7 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)]) job.setOutputValueClass(valueClass) job.setOutputFormatClass(outputFormatClass) val jobConfiguration = job.getConfiguration - jobConfiguration.set("mapred.output.dir", path) + jobConfiguration.set("mapreduce.output.fileoutputformat.outputdir", path) saveAsNewAPIHadoopDataset(jobConfiguration) } @@ -1039,10 +1039,11 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)]) conf.setOutputFormat(outputFormatClass) for (c <- codec) { hadoopConf.setCompressMapOutput(true) - hadoopConf.set("mapred.output.compress", "true") + hadoopConf.set("mapreduce.output.fileoutputformat.compress", "true") hadoopConf.setMapOutputCompressorClass(c) - hadoopConf.set("mapred.output.compression.codec", c.getCanonicalName) - hadoopConf.set("mapred.output.compression.type", CompressionType.BLOCK.toString) + hadoopConf.set("mapreduce.output.fileoutputformat.compress.codec", c.getCanonicalName) + hadoopConf.set("mapreduce.output.fileoutputformat.compress.type", + CompressionType.BLOCK.toString) } // Use configured output committer if already set http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/core/src/test/scala/org/apache/spark/FileSuite.scala ---------------------------------------------------------------------- diff --git a/core/src/test/scala/org/apache/spark/FileSuite.scala b/core/src/test/scala/org/apache/spark/FileSuite.scala index a2d3177..5be0121 100644 --- a/core/src/test/scala/org/apache/spark/FileSuite.scala +++ b/core/src/test/scala/org/apache/spark/FileSuite.scala @@ -401,7 +401,7 @@ class FileSuite extends SparkFunSuite with LocalSparkContext { job.setOutputKeyClass(classOf[String]) job.setOutputValueClass(classOf[String]) job.set("mapred.output.format.class", classOf[TextOutputFormat[String, String]].getName) - job.set("mapred.output.dir", tempDir.getPath + "/outputDataset_old") + job.set("mapreduce.output.fileoutputformat.outputdir", tempDir.getPath + "/outputDataset_old") randomRDD.saveAsHadoopDataset(job) assert(new File(tempDir.getPath + "/outputDataset_old/part-00000").exists() === true) } @@ -415,7 +415,8 @@ class FileSuite extends SparkFunSuite with LocalSparkContext { job.setOutputValueClass(classOf[String]) job.setOutputFormatClass(classOf[NewTextOutputFormat[String, String]]) val jobConfig = job.getConfiguration - jobConfig.set("mapred.output.dir", tempDir.getPath + "/outputDataset_new") + jobConfig.set("mapreduce.output.fileoutputformat.outputdir", + tempDir.getPath + "/outputDataset_new") randomRDD.saveAsNewAPIHadoopDataset(jobConfig) assert(new File(tempDir.getPath + "/outputDataset_new/part-r-00000").exists() === true) } http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/docs/hardware-provisioning.md ---------------------------------------------------------------------- diff --git a/docs/hardware-provisioning.md b/docs/hardware-provisioning.md index bb6f616..896f930 100644 --- a/docs/hardware-provisioning.md +++ b/docs/hardware-provisioning.md @@ -15,8 +15,8 @@ possible**. We recommend the following: * If at all possible, run Spark on the same nodes as HDFS. The simplest way is to set up a Spark [standalone mode cluster](spark-standalone.html) on the same nodes, and configure Spark and Hadoop's memory and CPU usage to avoid interference (for Hadoop, the relevant options are -`mapred.child.java.opts` for the per-task memory and `mapred.tasktracker.map.tasks.maximum` -and `mapred.tasktracker.reduce.tasks.maximum` for number of tasks). Alternatively, you can run +`mapred.child.java.opts` for the per-task memory and `mapreduce.tasktracker.map.tasks.maximum` +and `mapreduce.tasktracker.reduce.tasks.maximum` for number of tasks). Alternatively, you can run Hadoop and Spark on a common cluster manager like [Mesos](running-on-mesos.html) or [Hadoop YARN](running-on-yarn.html). http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/python/pyspark/tests.py ---------------------------------------------------------------------- diff --git a/python/pyspark/tests.py b/python/pyspark/tests.py index e908b1e..a2aead7 100644 --- a/python/pyspark/tests.py +++ b/python/pyspark/tests.py @@ -1347,7 +1347,7 @@ class InputFormatTests(ReusedPySparkTestCase): self.assertEqual(ints, ei) hellopath = os.path.join(SPARK_HOME, "python/test_support/hello/hello.txt") - oldconf = {"mapred.input.dir": hellopath} + oldconf = {"mapreduce.input.fileinputformat.inputdir": hellopath} hello = self.sc.hadoopRDD("org.apache.hadoop.mapred.TextInputFormat", "org.apache.hadoop.io.LongWritable", "org.apache.hadoop.io.Text", @@ -1366,7 +1366,7 @@ class InputFormatTests(ReusedPySparkTestCase): self.assertEqual(ints, ei) hellopath = os.path.join(SPARK_HOME, "python/test_support/hello/hello.txt") - newconf = {"mapred.input.dir": hellopath} + newconf = {"mapreduce.input.fileinputformat.inputdir": hellopath} hello = self.sc.newAPIHadoopRDD("org.apache.hadoop.mapreduce.lib.input.TextInputFormat", "org.apache.hadoop.io.LongWritable", "org.apache.hadoop.io.Text", @@ -1515,12 +1515,12 @@ class OutputFormatTests(ReusedPySparkTestCase): conf = { "mapred.output.format.class": "org.apache.hadoop.mapred.SequenceFileOutputFormat", - "mapred.output.key.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.value.class": "org.apache.hadoop.io.MapWritable", - "mapred.output.dir": basepath + "/olddataset/" + "mapreduce.job.output.key.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.job.output.value.class": "org.apache.hadoop.io.MapWritable", + "mapreduce.output.fileoutputformat.outputdir": basepath + "/olddataset/" } self.sc.parallelize(dict_data).saveAsHadoopDataset(conf) - input_conf = {"mapred.input.dir": basepath + "/olddataset/"} + input_conf = {"mapreduce.input.fileinputformat.inputdir": basepath + "/olddataset/"} result = self.sc.hadoopRDD( "org.apache.hadoop.mapred.SequenceFileInputFormat", "org.apache.hadoop.io.IntWritable", @@ -1547,14 +1547,14 @@ class OutputFormatTests(ReusedPySparkTestCase): self.assertEqual(result, data) conf = { - "mapreduce.outputformat.class": + "mapreduce.job.outputformat.class": "org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", - "mapred.output.key.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.value.class": "org.apache.hadoop.io.Text", - "mapred.output.dir": basepath + "/newdataset/" + "mapreduce.job.output.key.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.job.output.value.class": "org.apache.hadoop.io.Text", + "mapreduce.output.fileoutputformat.outputdir": basepath + "/newdataset/" } self.sc.parallelize(data).saveAsNewAPIHadoopDataset(conf) - input_conf = {"mapred.input.dir": basepath + "/newdataset/"} + input_conf = {"mapreduce.input.fileinputformat.inputdir": basepath + "/newdataset/"} new_dataset = sorted(self.sc.newAPIHadoopRDD( "org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat", "org.apache.hadoop.io.IntWritable", @@ -1584,16 +1584,16 @@ class OutputFormatTests(ReusedPySparkTestCase): self.assertEqual(result, array_data) conf = { - "mapreduce.outputformat.class": + "mapreduce.job.outputformat.class": "org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", - "mapred.output.key.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.value.class": "org.apache.spark.api.python.DoubleArrayWritable", - "mapred.output.dir": basepath + "/newdataset/" + "mapreduce.job.output.key.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.job.output.value.class": "org.apache.spark.api.python.DoubleArrayWritable", + "mapreduce.output.fileoutputformat.outputdir": basepath + "/newdataset/" } self.sc.parallelize(array_data).saveAsNewAPIHadoopDataset( conf, valueConverter="org.apache.spark.api.python.DoubleArrayToWritableConverter") - input_conf = {"mapred.input.dir": basepath + "/newdataset/"} + input_conf = {"mapreduce.input.fileinputformat.inputdir": basepath + "/newdataset/"} new_dataset = sorted(self.sc.newAPIHadoopRDD( "org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat", "org.apache.hadoop.io.IntWritable", @@ -1663,18 +1663,19 @@ class OutputFormatTests(ReusedPySparkTestCase): conf4 = { "mapred.output.format.class": "org.apache.hadoop.mapred.SequenceFileOutputFormat", - "mapred.output.key.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.value.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.dir": basepath + "/reserialize/dataset"} + "mapreduce.job.output.key.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.job.output.value.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.output.fileoutputformat.outputdir": basepath + "/reserialize/dataset"} rdd.saveAsHadoopDataset(conf4) result4 = sorted(self.sc.sequenceFile(basepath + "/reserialize/dataset").collect()) self.assertEqual(result4, data) - conf5 = {"mapreduce.outputformat.class": + conf5 = {"mapreduce.job.outputformat.class": "org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", - "mapred.output.key.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.value.class": "org.apache.hadoop.io.IntWritable", - "mapred.output.dir": basepath + "/reserialize/newdataset"} + "mapreduce.job.output.key.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.job.output.value.class": "org.apache.hadoop.io.IntWritable", + "mapreduce.output.fileoutputformat.outputdir": basepath + "/reserialize/newdataset" + } rdd.saveAsNewAPIHadoopDataset(conf5) result5 = sorted(self.sc.sequenceFile(basepath + "/reserialize/newdataset").collect()) self.assertEqual(result5, data) http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala index 49407b4..3e80916 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala @@ -269,8 +269,8 @@ case class LoadDataCommand( } else { // Follow Hive's behavior: // If no schema or authority is provided with non-local inpath, - // we will use hadoop configuration "fs.default.name". - val defaultFSConf = sparkSession.sessionState.newHadoopConf().get("fs.default.name") + // we will use hadoop configuration "fs.defaultFS". + val defaultFSConf = sparkSession.sessionState.newHadoopConf().get("fs.defaultFS") val defaultFS = if (defaultFSConf == null) { new URI("") } else { http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala index 6443584..c177968 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala @@ -210,11 +210,11 @@ object FileFormatWriter extends Logging { val taskAttemptContext: TaskAttemptContext = { // Set up the configuration object val hadoopConf = description.serializableHadoopConf.value - hadoopConf.set("mapred.job.id", jobId.toString) - hadoopConf.set("mapred.tip.id", taskAttemptId.getTaskID.toString) - hadoopConf.set("mapred.task.id", taskAttemptId.toString) - hadoopConf.setBoolean("mapred.task.is.map", true) - hadoopConf.setInt("mapred.task.partition", 0) + hadoopConf.set("mapreduce.job.id", jobId.toString) + hadoopConf.set("mapreduce.task.id", taskAttemptId.getTaskID.toString) + hadoopConf.set("mapreduce.task.attempt.id", taskAttemptId.toString) + hadoopConf.setBoolean("mapreduce.task.ismap", true) + hadoopConf.setInt("mapreduce.task.partition", 0) new TaskAttemptContextImpl(hadoopConf, taskAttemptId) } http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala ---------------------------------------------------------------------- diff --git a/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala b/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala index 7ba5790..c7d953a 100644 --- a/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala +++ b/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala @@ -95,9 +95,9 @@ class HiveWindowFunctionQuerySuite extends HiveComparisonTest with BeforeAndAfte // This is used to generate golden files. sql("set hive.plan.serialization.format=kryo") // Explicitly set fs to local fs. - sql(s"set fs.default.name=file://$testTempDir/") + sql(s"set fs.defaultFS=file://$testTempDir/") // Ask Hive to run jobs in-process as a single map and reduce task. - sql("set mapred.job.tracker=local") + sql("set mapreduce.jobtracker.address=local") } override def afterAll() { @@ -764,9 +764,9 @@ class HiveWindowFunctionQueryFileSuite // This is used to generate golden files. // sql("set hive.plan.serialization.format=kryo") // Explicitly set fs to local fs. - // sql(s"set fs.default.name=file://$testTempDir/") + // sql(s"set fs.defaultFS=file://$testTempDir/") // Ask Hive to run jobs in-process as a single map and reduce task. - // sql("set mapred.job.tracker=local") + // sql("set mapreduce.jobtracker.address=local") } override def afterAll() { http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala ---------------------------------------------------------------------- diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala index b4b6303..d48702b 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala @@ -66,14 +66,16 @@ class HadoopTableReader( hadoopConf: Configuration) extends TableReader with Logging { - // Hadoop honors "mapred.map.tasks" as hint, but will ignore when mapred.job.tracker is "local". - // https://hadoop.apache.org/docs/r1.0.4/mapred-default.html + // Hadoop honors "mapreduce.job.maps" as hint, + // but will ignore when mapreduce.jobtracker.address is "local". + // https://hadoop.apache.org/docs/r2.6.5/hadoop-mapreduce-client/hadoop-mapreduce-client-core/ + // mapred-default.xml // // In order keep consistency with Hive, we will let it be 0 in local mode also. private val _minSplitsPerRDD = if (sparkSession.sparkContext.isLocal) { 0 // will splitted based on block by default. } else { - math.max(hadoopConf.getInt("mapred.map.tasks", 1), + math.max(hadoopConf.getInt("mapreduce.job.maps", 1), sparkSession.sparkContext.defaultMinPartitions) } http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala ---------------------------------------------------------------------- diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala index 5d5688e..142f25d 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/InsertIntoHiveTable.scala @@ -228,13 +228,16 @@ case class InsertIntoHiveTable( val isCompressed = hadoopConf.get("hive.exec.compress.output", "false").toBoolean if (isCompressed) { - // Please note that isCompressed, "mapred.output.compress", "mapred.output.compression.codec", - // and "mapred.output.compression.type" have no impact on ORC because it uses table properties - // to store compression information. - hadoopConf.set("mapred.output.compress", "true") + // Please note that isCompressed, "mapreduce.output.fileoutputformat.compress", + // "mapreduce.output.fileoutputformat.compress.codec", and + // "mapreduce.output.fileoutputformat.compress.type" + // have no impact on ORC because it uses table properties to store compression information. + hadoopConf.set("mapreduce.output.fileoutputformat.compress", "true") fileSinkConf.setCompressed(true) - fileSinkConf.setCompressCodec(hadoopConf.get("mapred.output.compression.codec")) - fileSinkConf.setCompressType(hadoopConf.get("mapred.output.compression.type")) + fileSinkConf.setCompressCodec(hadoopConf + .get("mapreduce.output.fileoutputformat.compress.codec")) + fileSinkConf.setCompressType(hadoopConf + .get("mapreduce.output.fileoutputformat.compress.type")) } val numDynamicPartitions = partition.values.count(_.isEmpty) http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala ---------------------------------------------------------------------- diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala index fd13911..efc2f00 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/test/TestHive.scala @@ -439,7 +439,7 @@ private[hive] class TestHiveSparkSession( foreach { udfName => FunctionRegistry.unregisterTemporaryUDF(udfName) } // Some tests corrupt this value on purpose, which breaks the RESET call below. - sessionState.conf.setConfString("fs.default.name", new File(".").toURI.toString) + sessionState.conf.setConfString("fs.defaultFS", new File(".").toURI.toString) // It is important that we RESET first as broken hooks that might have been set could break // other sql exec here. sessionState.metadataHive.runSqlHive("RESET") http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/test/resources/golden/auto_join14_hadoop20-2-2b9ccaa793eae0e73bf76335d3d6880 ---------------------------------------------------------------------- diff --git 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http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/test/resources/golden/combine1-2-6142f47d3fcdd4323162014d5eb35e07 ---------------------------------------------------------------------- diff --git a/sql/hive/src/test/resources/golden/combine1-2-6142f47d3fcdd4323162014d5eb35e07 b/sql/hive/src/test/resources/golden/combine1-2-6142f47d3fcdd4323162014d5eb35e07 new file mode 100644 index 0000000..573541a --- /dev/null +++ b/sql/hive/src/test/resources/golden/combine1-2-6142f47d3fcdd4323162014d5eb35e07 @@ -0,0 +1 @@ +0 http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/test/resources/golden/combine1-2-c95dc367df88c9e5cf77157f29ba2daf ---------------------------------------------------------------------- diff --git a/sql/hive/src/test/resources/golden/combine1-2-c95dc367df88c9e5cf77157f29ba2daf b/sql/hive/src/test/resources/golden/combine1-2-c95dc367df88c9e5cf77157f29ba2daf deleted file mode 100644 index 573541a..0000000 --- a/sql/hive/src/test/resources/golden/combine1-2-c95dc367df88c9e5cf77157f29ba2daf +++ /dev/null @@ -1 +0,0 @@ -0 http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/test/resources/golden/combine1-3-10266e3d5dd4c841c0d65030b1edba7c ---------------------------------------------------------------------- diff --git a/sql/hive/src/test/resources/golden/combine1-3-10266e3d5dd4c841c0d65030b1edba7c b/sql/hive/src/test/resources/golden/combine1-3-10266e3d5dd4c841c0d65030b1edba7c new file mode 100644 index 0000000..573541a --- /dev/null +++ b/sql/hive/src/test/resources/golden/combine1-3-10266e3d5dd4c841c0d65030b1edba7c @@ -0,0 +1 @@ +0 http://git-wip-us.apache.org/repos/asf/spark/blob/9b8eca65/sql/hive/src/test/resources/golden/combine1-3-6e53a3ac93113f20db3a12f1dcf30e86 ---------------------------------------------------------------------- diff --git a/sql/hive/src/test/resources/golden/combine1-3-6e53a3ac93113f20db3a12f1dcf30e86 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