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Removing elements from a mutable HashSet while iterating over it can cause the iteration to incorrectly skip over entries that were not removed. If this happened, PythonRDD would write fewer broadcast variables than the Python worker was expecting to read, which would cause the Python worker to hang indefinitely. Author: Davies Liu <davies@databricks.com> Closes #4776 from davies/fix_hang and squashes the following commits: a4384a5 [Davies Liu] fix bug: remvoe() inside iterator is not safe (cherry picked from commit 7fa960e) Signed-off-by: Josh Rosen <joshrosen@databricks.com>
…ourcesRatio on docs. The configuration is not supported in mesos mode now. See #1462 Author: Li Zhihui <zhihui.li@intel.com> Closes #4781 from li-zhihui/fixdocconf and squashes the following commits: 63e7a44 [Li Zhihui] Modify default value description for spark.scheduler.minRegisteredResourcesRatio on docs. (cherry picked from commit 10094a5) Signed-off-by: Andrew Or <andrew@databricks.com>
…afkaUtils and improved error message The problem with SPARK-6027 in short is that JARs like the kafka-assembly.jar does not work in python as the added JAR is not visible in the classloader used by Py4J. Py4J uses Class.forName(), which does not uses the systemclassloader, but the JARs are only visible in the Thread's contextclassloader. So this back uses the context class loader to create the KafkaUtils dstream object. This works for both cases where the Kafka libraries are added with --jars spark-streaming-kafka-assembly.jar or with --packages spark-streaming-kafka Also improves the error message. davies Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #4779 from tdas/kafka-python-fix and squashes the following commits: fb16b04 [Tathagata Das] Removed import c1fdf35 [Tathagata Das] Fixed long line and improved documentation 7b88be8 [Tathagata Das] Fixed --jar not working for KafkaUtils and improved error message (cherry picked from commit aa63f63) Signed-off-by: Andrew Or <andrew@databricks.com>
…RN AM Author: Cheolsoo Park <cheolsoop@netflix.com> Closes #4773 from piaozhexiu/SPARK-6018 and squashes the following commits: 2a919d5 [Cheolsoo Park] Rename e with cause to avoid duplicate names 1e71d2d [Cheolsoo Park] Replace placeholder with throwable eb5750d [Cheolsoo Park] NoSuchMethodError in Spark app is swallowed by YARN AM (cherry picked from commit 5f3238b) Signed-off-by: Andrew Or <andrew@databricks.com>
The history server on Yarn only shows completed jobs. This adds a note concerning the needed explicit context termination at the end of a spark job which is a best practice anyway. Related to SPARK-2972 and SPARK-3458 Author: moussa taifi <moutai10@gmail.com> Closes #4721 from moutai/add-history-server-note-for-closing-the-spark-context and squashes the following commits: 9f5b6c3 [moussa taifi] Fix upper case typo for YARN 3ad3db4 [moussa taifi] Add context termination for History server on Yarn (cherry picked from commit c871e2d) Signed-off-by: Andrew Or <andrew@databricks.com>
…n client mode Remove unreachable driver memory properties in yarn client mode Author: mohit.goyal <mohit.goyal@guavus.com> Closes #4730 from zuxqoj/master and squashes the following commits: 977dc96 [mohit.goyal] remove not rechable deprecated variables in yarn client mode (cherry picked from commit b38dec2) Signed-off-by: Andrew Or <andrew@databricks.com>
Ensure scheduler delay handles unfinished task case, and ensure delay is never negative even due to rounding Author: Sean Owen <sowen@cloudera.com> Closes #4796 from srowen/SPARK-4579 and squashes the following commits: ad6713c [Sean Owen] Ensure scheduler delay handles unfinished task case, and ensure delay is never negative even due to rounding (cherry picked from commit fbc4694) Signed-off-by: Andrew Or <andrew@databricks.com>
`FilteringParquetRowInputFormat` manually merges Parquet schemas before computing splits. However, it is duplicate because the schemas are already merged in `ParquetRelation2`. We don't need to re-merge them at `InputFormat`. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #4786 from viirya/dup_parquet_schemas_merge and squashes the following commits: ef78a5a [Liang-Chi Hsieh] Avoiding duplicate Parquet schema merging. (cherry picked from commit 4ad5153) Signed-off-by: Cheng Lian <lian@databricks.com>
… schema cannot be stored in metastore. JIRA: https://issues.apache.org/jira/browse/SPARK-6024 Author: Yin Huai <yhuai@databricks.com> Closes #4795 from yhuai/wideSchema and squashes the following commits: 4882e6f [Yin Huai] Address comments. 73e71b4 [Yin Huai] Address comments. 143927a [Yin Huai] Simplify code. cc1d472 [Yin Huai] Make the schema wider. 12bacae [Yin Huai] If the JSON string of a schema is too large, split it before storing it in metastore. e9b4f70 [Yin Huai] Failed test. (cherry picked from commit 5e5ad65) Signed-off-by: Reynold Xin <rxin@databricks.com>
…story Server. As agreed in PR #1160 adding test to verify if history server generates relative links to applications. Author: Lukasz Jastrzebski <lukasz.jastrzebski@gmail.com> Closes #4778 from elyast/master and squashes the following commits: 0c07fab [Lukasz Jastrzebski] Incorporating comments for SPARK-2168 6d7866d [Lukasz Jastrzebski] Adjusting test for SPARK-2168 for master branch d6f4fbe [Lukasz Jastrzebski] Added test for SPARK-2168 (cherry picked from commit 4a8a0a8) Signed-off-by: Andrew Or <andrew@databricks.com>
…ne mode jira case spark-6033 https://issues.apache.org/jira/browse/SPARK-6033 In standalone deploy mode, the cleanup will only remove the stopped application's directories. The original description about the cleanup behavior is incorrect. Author: 许鹏 <peng.xu@fraudmetrix.cn> Closes #4803 from hseagle/spark-6033 and squashes the following commits: 927a6a0 [许鹏] fix the incorrect description about the spark.worker.cleanup in standalone mode (cherry picked from commit 0375a41) Signed-off-by: Andrew Or <andrew@databricks.com>
Because ApplicationMaster doesn't set SparkUncaughtExceptionHandler, the exception in the user class won't be logged. This PR added a `logError` for it. Author: zsxwing <zsxwing@gmail.com> Closes #4813 from zsxwing/SPARK-6058 and squashes the following commits: 806c932 [zsxwing] Log the user class exception (cherry picked from commit e747e98) Signed-off-by: Sean Owen <sowen@cloudera.com>
Should pass spark context to save/load CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #4816 from jkbradley/ml-io-doc-fix and squashes the following commits: 83d369d [Joseph K. Bradley] added comment to save,load parts of ML guide examples 2841170 [Joseph K. Bradley] Fixed save,load calls in ML guide examples (cherry picked from commit d17cb2b) Signed-off-by: Xiangrui Meng <meng@databricks.com>
…ft server test suites This is a follow-up of #4720. By default, `spark-daemon.sh` writes PID files under `/tmp`, which makes it impossible to start multiple server instances simultaneously. This PR sets `SPARK_PID_DIR` to Spark home directory to workaround this problem. Many thanks to chenghao-intel for pointing out this issue! <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/4758) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #4758 from liancheng/thriftserver-pid-dir and squashes the following commits: 252fa0f [Cheng Lian] Uses temporary directory as Thrift server PID directory 1b3d1e3 [Cheng Lian] Sets SPARK_HOME as SPARK_PID_DIR when running Thrift server test suites (cherry picked from commit 8c468a6) Signed-off-by: Cheng Lian <lian@databricks.com>
The _eq_ of DataType is not correct, class cache is not use correctly (created class can not be find by dataType), then it will create lots of classes (saved in _cached_cls), never released. Also, all same DataType have same hash code, there will be many object in a dict with the same hash code, end with hash attach, it's very slow to access this dict (depends on the implementation of CPython). This PR also improve the performance of inferSchema (avoid the unnecessary converter of object). cc pwendell JoshRosen Author: Davies Liu <davies@databricks.com> Closes #4808 from davies/leak and squashes the following commits: 6a322a4 [Davies Liu] tests refactor 3da44fc [Davies Liu] fix __eq__ of Singleton 534ac90 [Davies Liu] add more checks 46999dc [Davies Liu] fix tests d9ae973 [Davies Liu] fix memory leak in sql (cherry picked from commit e0e64ba) Signed-off-by: Josh Rosen <joshrosen@databricks.com>
These may conflict with the classes already in the NM. We shouldn't be repackaging them. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #4820 from vanzin/SPARK-6070 and squashes the following commits: 871b566 [Marcelo Vanzin] The "d'oh how didn't I think of it before" solution. 3cba946 [Marcelo Vanzin] Use profile instead, so that dependencies don't need to be explicitly listed. 7a18a1b [Marcelo Vanzin] [SPARK-6070] [yarn] Remove unneeded classes from shuffle service jar. (cherry picked from commit dba08d1) Signed-off-by: Patrick Wendell <patrick@databricks.com>
pwendell tdas This is the safer parts of PR #4754: - SPARK-5979: All dependencies with the groupId `org.apache.spark` passed through `--packages`, were being excluded from the dependency tree on the assumption that they would be in the assembly jar. This is not the case, therefore the exclusion rules had to be defined more explicitly. - SPARK-6032: Ivy prints a whole lot of logs while retrieving dependencies. These were printed to `System.out`. Moved the logging to `System.err`. Author: Burak Yavuz <brkyvz@gmail.com> Closes #4802 from brkyvz/simple-streaming-fix and squashes the following commits: e0f38cb [Burak Yavuz] Merge branch 'master' of github.com:apache/spark into simple-streaming-fix bad921c [Burak Yavuz] [SPARK-5979][SPARK-6032] Smaller safer fix (cherry picked from commit 6d8e5fb) Signed-off-by: Patrick Wendell <patrick@databricks.com>
…leRow when nested data and partitioned table This PR adapts anselmevignon's #4697 to master and branch-1.3. Please refer to PR description of #4697 for details. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/4792) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Author: Cheng Lian <liancheng@users.noreply.github.com> Author: Yin Huai <yhuai@databricks.com> Closes #4792 from liancheng/spark-5775 and squashes the following commits: 538f506 [Cheng Lian] Addresses comments cee55cf [Cheng Lian] Merge pull request #4 from yhuai/spark-5775-yin b0b74fb [Yin Huai] Remove runtime pattern matching. ca6e038 [Cheng Lian] Fixes SPARK-5775 (cherry picked from commit e6003f0) Signed-off-by: Cheng Lian <lian@databricks.com>
Fix TimSort bug which causes a ArrayOutOfBoundsException. Using the proposed fix here http://envisage-project.eu/proving-android-java-and-python-sorting-algorithm-is-broken-and-how-to-fix-it/ Author: Evan Yu <ehotou@gmail.com> Closes #4804 from hotou/SPARK-5984 and squashes the following commits: 3421b6c [Evan Yu] SPARK-5984: Add info to LICENSE e61c6b8 [Evan Yu] SPARK-5984: Fix license and document 6ccc280 [Evan Yu] SPARK-5984: Add License header to file e06c0d2 [Evan Yu] SPARK-5984: Add License header to file 4d95f75 [Evan Yu] SPARK-5984: Fix TimSort bug causes ArrayOutOfBoundsException 479a106 [Evan Yu] SPARK-5984: Fix TimSort bug causes ArrayOutOfBoundsException (cherry picked from commit 643300a) Signed-off-by: Reynold Xin <rxin@databricks.com>
This is needed for the SQL bindings to work on Yarn. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #4822 from vanzin/SPARK-6074 and squashes the following commits: fb52001 [Marcelo Vanzin] [SPARK-6074] [sql] Package pyspark sql bindings. (cherry picked from commit fd8d283) Signed-off-by: Sean Owen <sowen@cloudera.com>
A simple wrapper to save/load `MatrixFactorizationModel` in Python. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #4811 from mengxr/SPARK-5991 and squashes the following commits: f135dac [Xiangrui Meng] update save doc 57e5200 [Xiangrui Meng] address comments 06140a4 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5991 282ec8d [Xiangrui Meng] support save/load in PySpark's ALS (cherry picked from commit aedbbaa) Signed-off-by: Xiangrui Meng <meng@databricks.com>
…eBayes Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #4834 from MechCoder/spark-6083 and squashes the following commits: 1cdd7b5 [MechCoder] Add parse function 65bbbe9 [MechCoder] [SPARK-6083] Make Python API example consistent in NaiveBayes (cherry picked from commit 3f00bb3) Signed-off-by: Xiangrui Meng <meng@databricks.com>
Small changes, please help to review, thanks a lot. Author: Saisai Shao <saisai.shao@intel.com> Closes #4837 from jerryshao/doc-fix and squashes the following commits: 545291a [Saisai Shao] Fix some error docs in streaming examples (cherry picked from commit d8fb40e) Signed-off-by: Sean Owen <sowen@cloudera.com>
…n CreateMetastoreDataSourceAsSelect JIRA: https://issues.apache.org/jira/browse/SPARK-6073 liancheng Author: Yin Huai <yhuai@databricks.com> Closes #4824 from yhuai/refreshCache and squashes the following commits: b9542ef [Yin Huai] Refresh metadata cache in the Catalog in CreateMetastoreDataSourceAsSelect. (cherry picked from commit 39a54b4) Signed-off-by: Cheng Lian <lian@databricks.com>
…insNull of an ArrayType to true Always set `containsNull = true` when infer the schema of JSON datasets. If we set `containsNull` based on records we scanned, we may miss arrays with null values when we do sampling. Also, because future data can have arrays with null values, if we convert JSON data to parquet, always setting `containsNull = true` is a more robust way to go. JIRA: https://issues.apache.org/jira/browse/SPARK-6052 Author: Yin Huai <yhuai@databricks.com> Closes #4806 from yhuai/jsonArrayContainsNull and squashes the following commits: 05eab9d [Yin Huai] Change containsNull to true. (cherry picked from commit 3efd8bb) Signed-off-by: Cheng Lian <lian@databricks.com>
Usage info in documentation does not match actual usage info. Doc string usage says ```Usage: network_wordcount.py <zk> <topic>``` whereas the actual usage is ```Usage: kafka_wordcount.py <zk> <topic>``` Author: Kenneth Myers <myerske@us.ibm.com> Closes #4852 from kennethmyers/kafka_wordcount_documentation_fix and squashes the following commits: 3855325 [Kenneth Myers] Fixed usage string in documentation. (cherry picked from commit 95ac68b) Signed-off-by: Sean Owen <sowen@cloudera.com>
When run ```select * from nzhang_part where hr = 'file,';```, it throws exception ```java.lang.IllegalArgumentException: Can not create a Path from an empty string``` . Because the path of hdfs contains comma, and FileInputFormat.setInputPaths will split path by comma. ### SQL ``` set hive.merge.mapfiles=true; set hive.merge.mapredfiles=true; set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat; set hive.exec.dynamic.partition=true; set hive.exec.dynamic.partition.mode=nonstrict; create table nzhang_part like srcpart; insert overwrite table nzhang_part partition (ds='2010-08-15', hr) select key, value, hr from srcpart where ds='2008-04-08'; insert overwrite table nzhang_part partition (ds='2010-08-15', hr=11) select key, value from srcpart where ds='2008-04-08'; insert overwrite table nzhang_part partition (ds='2010-08-15', hr) select * from ( select key, value, hr from srcpart where ds='2008-04-08' union all select '1' as key, '1' as value, 'file,' as hr from src limit 1) s; select * from nzhang_part where hr = 'file,'; ``` ### Error Log ``` 15/02/10 14:33:16 ERROR SparkSQLDriver: Failed in [select * from nzhang_part where hr = 'file,'] java.lang.IllegalArgumentException: Can not create a Path from an empty string at org.apache.hadoop.fs.Path.checkPathArg(Path.java:127) at org.apache.hadoop.fs.Path.<init>(Path.java:135) at org.apache.hadoop.util.StringUtils.stringToPath(StringUtils.java:241) at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:400) at org.apache.spark.sql.hive.HadoopTableReader$.initializeLocalJobConfFunc(TableReader.scala:251) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$11.apply(TableReader.scala:229) at org.apache.spark.sql.hive.HadoopTableReader$$anonfun$11.apply(TableReader.scala:229) at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:172) at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:172) at scala.Option.map(Option.scala:145) at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:172) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:196) Author: q00251598 <qiyadong@huawei.com> Closes #4532 from watermen/SPARK-5741 and squashes the following commits: 9758ab1 [q00251598] fix bug 1db1a1c [q00251598] use setInputPaths(Job job, Path... inputPaths) b788a72 [q00251598] change FileInputFormat.setInputPaths to jobConf.set and add test suite (cherry picked from commit 9ce12aa) Signed-off-by: Michael Armbrust <michael@databricks.com>
…rameter for pyspark Currently LogisticRegressionWithLBFGS in python/pyspark/mllib/classification.py will invoke callMLlibFunc with a wrong "regType" parameter. It was assigned to "str(regType)" which translate None(Python) to "None"(Java/Scala). The right way should be translate None(Python) to null(Java/Scala) just as what we did at LogisticRegressionWithSGD. Author: Yanbo Liang <ybliang8@gmail.com> Closes #4831 from yanboliang/pyspark_classification and squashes the following commits: 12db65a [Yanbo Liang] correct LogisticRegressionWithLBFGS regType parameter for pyspark (cherry picked from commit af2effd) Signed-off-by: Xiangrui Meng <meng@databricks.com>
Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #5340 from vanzin/SPARK-6688 and squashes the following commits: ccfddd9 [Marcelo Vanzin] Resolve at the source. 20d2a34 [Marcelo Vanzin] [SPARK-6688] [core] Always use resolved URIs in EventLoggingListener. (cherry picked from commit 14632b7) Signed-off-by: Andrew Or <andrew@databricks.com>
…assDefFoundError Add xml-apis to core test deps to work aroudn UISeleniumSuite classpath issue Author: Sean Owen <sowen@cloudera.com> Closes #4933 from srowen/SPARK-6205 and squashes the following commits: ddd4d32 [Sean Owen] Add xml-apis to core test deps to work aroudn UISeleniumSuite classpath issue
The spark_ec2.py script uses public_dns_name everywhere in the script except for testing ssh availability, which is done using the public ip address of the instances. This breaks the script for users who are deploying the cluster with a private-network-only security group. The fix is to use public_dns_name in the remaining place. Author: Matt Aasted <aasted@twitch.tv> Closes #5302 from aasted/master and squashes the following commits: 60cf6ee [Matt Aasted] [SPARK-6636] Use public DNS hostname everywhere in spark_ec2.py (cherry picked from commit 6f0d55d) Signed-off-by: Josh Rosen <joshrosen@databricks.com>
This patch fixes a memory leak in the DAGScheduler, which caused us to leak a map entry per submitted stage. The problem is that the OutputCommitCoordinator needs to be informed when stages end in order to remove entries from its `authorizedCommitters` map, but the DAGScheduler only called it in one of the four code paths that are used to mark stages as completed. This patch fixes this issue by consolidating the processing of stage completion into a new `markStageAsFinished` method and updates DAGSchedulerSuite's `assertDataStructuresEmpty` assertion to also check the OutputCommitCoordinator data structures. I've also added a comment at the top of DAGScheduler so that we remember to update this test when adding new data structures. Author: Josh Rosen <joshrosen@databricks.com> Closes #5397 from JoshRosen/SPARK-6737 and squashes the following commits: af3b02f [Josh Rosen] Consolidate stage completion handling code in a single method. e96ce3a [Josh Rosen] Consolidate stage completion handling code in a single method. 3052aea [Josh Rosen] Comment update 7896899 [Josh Rosen] Fix SPARK-6737 by informing OutputCommitCoordinator of all stage end events. 4ead1dc [Josh Rosen] Add regression tests for SPARK-6737 (cherry picked from commit c83e039) Signed-off-by: Josh Rosen <joshrosen@databricks.com> Conflicts: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
This reverts commit 728c1f9.
This reverts commit 0dcb5d9.
…ded... .... In particular, this makes pyspark in yarn-cluster mode fail unless SPARK_HOME is set, when it's not really needed. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #5405 from vanzin/SPARK-6506 and squashes the following commits: e184507 [Marcelo Vanzin] [SPARK-6506] [pyspark] Do not try to retrieve SPARK_HOME when not needed. (cherry picked from commit f7e21dd) Signed-off-by: Josh Rosen <joshrosen@databricks.com>
Prior to this change, the unit test for SPARK-3426 did not clone the original SparkConf, which meant that that test did not use the options set by suites that subclass ShuffleSuite.scala. This commit fixes that problem. JoshRosen would be great if you could take a look at this, since you wrote this test originally. Author: Kay Ousterhout <kayousterhout@gmail.com> Closes #5401 from kayousterhout/SPARK-6753 and squashes the following commits: 368c540 [Kay Ousterhout] [SPARK-6753] Clone SparkConf in ShuffleSuite tests (cherry picked from commit 9d44ddc) Signed-off-by: Josh Rosen <joshrosen@databricks.com>
Use `sqlContext` in PySpark shell, make it consistent with SQL programming guide. `sqlCtx` is also kept for compatibility. Author: Davies Liu <davies@databricks.com> Closes #5425 from davies/sqlCtx and squashes the following commits: af67340 [Davies Liu] sqlCtx -> sqlContext 15a278f [Davies Liu] use sqlContext in python shell (cherry picked from commit 6ada4f6) Signed-off-by: Reynold Xin <rxin@databricks.com>
Fixed the following error
query.where('key > 30).select(avg('key)).collect()
<console>:43: error: value > is not a member of Symbol
query.where('key > 30).select(avg('key)).collect()
Author: Tijo Thomas <tijoparacka@gmail.com>
Closes #5415 from tijoparacka/ERROR_SQL_DATAFRAME_EXAMPLE and squashes the following commits:
234751e [Tijo Thomas] Fixed Query DSL error in spark sql Readme
(cherry picked from commit 2f482d7)
Signed-off-by: Reynold Xin <rxin@databricks.com>
Attempt at making the driver-worker networking requirement more explicit and up-front in the documentation (see https://issues.apache.org/jira/browse/SPARK-6343). Update cluster overview diagram to show connections from workers to driver. Add a bullet below about how driver listens / accepts connections from workers. Author: Peter Parente <pparent@us.ibm.com> Closes #5382 from parente/SPARK-6343 and squashes the following commits: 0b2fb9d [Peter Parente] [SPARK-6343] Doc driver-worker network reqs (cherry picked from commit b9c51c0) Signed-off-by: Sean Owen <sowen@cloudera.com>
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Can one of the admins verify this patch? |
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Yes, something is wrong with this branch. You also generally need a JIRA for a significant change. |
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It looks like this PR was opened to merge the Apache 1.3 branch into master, not to merge code from your repository. Were you looking for a way to file an issue instead, perhaps? Our JIRA is at https://issues.apache.org/jira/browse/SPARK. I don't know that we really have the resources to maintain documentation translations, although I think we could accept patches to link to translations that are maintained by third-parties. In the meantime, let's close this issue. |
The samples should always be sorted in ascending order, because bisect.bisect_left is used on it. The reverse order of the result is already achieved in rangePartitioner by reversing the found index. The current implementation also work, but always uses only two partitions -- the first one and the last one (because the bisect_left return returns either "beginning" or "end" for a descending sequence). Author: Milan Straka <fox@ucw.cz> This patch had conflicts when merged, resolved by Committer: Josh Rosen <joshrosen@databricks.com> Closes #4761 from foxik/fix-descending-sort and squashes the following commits: 95896b5 [Milan Straka] Add regression test for SPARK-5969. 5757490 [Milan Straka] Fix descending pyspark.rdd.sortByKey.
…tion Otherwise we end up rewriting predicates to be trivially equal (i.e. `a#1 = a#2` -> `a#3 = a#3`), at which point the query is no longer valid. Author: Michael Armbrust <michael@databricks.com> Closes #5458 from marmbrus/selfJoinParquet and squashes the following commits: 22df77c [Michael Armbrust] [SPARK-6851][SQL] Create new instance for each converted parquet relation (cherry picked from commit 23d5f88) Signed-off-by: Michael Armbrust <michael@databricks.com> Conflicts: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
This reverts commit cdef7d0.
This reverts commit 7c4473a.
https://issues.apache.org/jira/browse/SPARK-6863 Author: Santiago M. Mola <santiago.mola@sap.com> Closes #5472 from smola/fix/sql-docs and squashes the following commits: 42503d4 [Santiago M. Mola] [SPARK-6863] Fix formatting on SQL programming guide. (cherry picked from commit 6437e7c) Signed-off-by: Michael Armbrust <michael@databricks.com>
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PRs Merged 1. [Internal] Add AppleAwsClientFactory for Mascot (apache#577) 2. Hive: Log new metadata location in commit (apache#4681) 3. change timeout to 120 for now (apache#661) 4. Internal: Add hive_catalog parameter to SparkCatalog (apache#670) 5. Internal: Pull catalog setting to CachedClientPool (apache#673) 6. Core: Defer reading Avro metadata until ManifestFile is read (apache#5206) 7. API: Fix ID assignment in schema merging (apache#5395) 8. AWS: S3OutputStream - failure to close should persist on subsequent close calls (apache#5311) 9. API: Allow schema updates to find fields with case-insensitivity (apache#5440) 10. Spark 3.3: Spark mergeSchema to respect Spark Case Sensitivity Configuration (apache#5441)
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Hi everybody, Does anyone would be interested in a French translation of the entire Spark's documentation (v1.3.0) ?