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…led. Currently we have a separate profile called hive-thriftserver. I originally suggested this in case users did not want to bundle the thriftserver, but it's ultimately lead to a lot of confusion. Since the thriftserver is only a few classes, I don't see a really good reason to isolate it from the rest of Hive. So let's go ahead and just include it in the same profile to simplify things. This has been suggested in the past by liancheng. Author: Patrick Wendell <pwendell@gmail.com> Closes #2006 from pwendell/hiveserver and squashes the following commits: 742ea40 [Patrick Wendell] Merge remote-tracking branch 'apache/master' into hiveserver 034ad47 [Patrick Wendell] SPARK-3092: Always include the thriftserver when -Phive is enabled.
Also, minor modifications to the MapR profile.
This PR fixes two issues: 1. Fixes wrongly quoted command line option in `HiveThriftServer2Suite` that makes test cases hang until timeout. 1. Asks `dev/run-test` to run Spark SQL tests when `bin/spark-sql` and/or `sbin/start-thriftserver.sh` are modified. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #2036 from liancheng/fix-thriftserver-test and squashes the following commits: f38c4eb [Cheng Lian] Fixed the same quotation issue in CliSuite 26b82a0 [Cheng Lian] Run SQL tests when dff contains bin/spark-sql and/or sbin/start-thriftserver.sh a87f83d [Cheng Lian] Extended timeout e5aa31a [Cheng Lian] Fixed metastore JDBC URI quotation
…n when EventLogging is enabled #1891 was to avoid IOException when EventLogging is enabled. The solution used ShutdownHookManager but it was defined only Hadoop 2.x. Hadoop 1.x don't have ShutdownHookManager so #1891 doesn't compile on Hadoop 1.x Now, I had a compromised solution for both Hadoop 1.x and 2.x. Only for FileLogger, an unique FileSystem object is created. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #1970 from sarutak/SPARK-2970 and squashes the following commits: 240c91e [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2970 0e7b45d [Kousuke Saruta] Revert "[SPARK-2970] [SQL] spark-sql script ends with IOException when EventLogging is enabled" e1262ec [Kousuke Saruta] Modified Filelogger to use unique FileSystem instance
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2060 from sarutak/SPARK-3149 and squashes the following commits: 1cc89af [Kousuke Saruta] Modified log message of accepting connection
In client deploy mode, the driver is launched from within `SparkSubmit`'s JVM. This means by the time we parse Spark configs from `spark-defaults.conf`, it is already too late to control certain properties of the driver's JVM. We currently ignore these configs in client mode altogether. ``` spark.driver.memory spark.driver.extraJavaOptions spark.driver.extraClassPath spark.driver.extraLibraryPath ``` This PR handles these properties before launching the driver JVM. It achieves this by spawning a separate JVM that runs a new class called `SparkSubmitDriverBootstrapper`, which spawns `SparkSubmit` as a sub-process with the appropriate classpath, library paths, java opts and memory. Author: Andrew Or <andrewor14@gmail.com> Closes #1845 from andrewor14/handle-configs-bash and squashes the following commits: bed4bdf [Andrew Or] Change a few comments / messages (minor) 24dba60 [Andrew Or] Merge branch 'master' of github.com:apache/spark into handle-configs-bash 08fd788 [Andrew Or] Warn against external usages of SparkSubmitDriverBootstrapper ff34728 [Andrew Or] Minor comments 51aeb01 [Andrew Or] Filter out JVM memory in Scala rather than Bash (minor) 9a778f6 [Andrew Or] Fix PySpark: actually kill driver on termination d0f20db [Andrew Or] Don't pass empty library paths, classpath, java opts etc. a78cb26 [Andrew Or] Revert a few changes in utils.sh (minor) 9ba37e2 [Andrew Or] Don't barf when the properties file does not exist 8867a09 [Andrew Or] A few more naming things (minor) 19464ad [Andrew Or] SPARK_SUBMIT_JAVA_OPTS -> SPARK_SUBMIT_OPTS d6488f9 [Andrew Or] Merge branch 'master' of github.com:apache/spark into handle-configs-bash 1ea6bbe [Andrew Or] SparkClassLauncher -> SparkSubmitDriverBootstrapper a91ea19 [Andrew Or] Fix precedence of library paths, classpath, java opts and memory 158f813 [Andrew Or] Remove "client mode" boolean argument c84f5c8 [Andrew Or] Remove debug print statement (minor) b71f52b [Andrew Or] Revert a few more changes (minor) 7d94a8d [Andrew Or] Merge branch 'master' of github.com:apache/spark into handle-configs-bash 3a8235d [Andrew Or] Only parse the properties file if special configs exist c37e08d [Andrew Or] Revert a few more changes a396eda [Andrew Or] Nullify my own hard work to simplify bash 0effa1e [Andrew Or] Add code in Scala that handles special configs c886568 [Andrew Or] Fix lines too long + a few comments / style (minor) 7a4190a [Andrew Or] Merge branch 'master' of github.com:apache/spark into handle-configs-bash 7396be2 [Andrew Or] Explicitly comment that multi-line properties are not supported fa11ef8 [Andrew Or] Parse the properties file only if the special configs exist 371cac4 [Andrew Or] Add function prefix (minor) be99eb3 [Andrew Or] Fix tests to not include multi-line configs bd0d468 [Andrew Or] Simplify parsing config file by ignoring multi-line arguments 56ac247 [Andrew Or] Use eval and set to simplify splitting 8d4614c [Andrew Or] Merge branch 'master' of github.com:apache/spark into handle-configs-bash aeb79c7 [Andrew Or] Merge branch 'master' of github.com:apache/spark into handle-configs-bash 2732ac0 [Andrew Or] Integrate BASH tests into dev/run-tests + log error properly 8d26a5c [Andrew Or] Add tests for bash/utils.sh 4ae24c3 [Andrew Or] Fix bug: escape properly in quote_java_property b3c4cd5 [Andrew Or] Fix bug: count the number of quotes instead of detecting presence c2273fc [Andrew Or] Fix typo (minor) e793e5f [Andrew Or] Handle multi-line arguments 5d8f8c4 [Andrew Or] Merge branch 'master' of github.com:apache/spark into submit-driver-extra c7b9926 [Andrew Or] Minor changes to spark-defaults.conf.template a992ae2 [Andrew Or] Escape spark.*.extraJavaOptions correctly aabfc7e [Andrew Or] escape -> split (minor) 45a1eb9 [Andrew Or] Fix bug: escape escaped backslashes and quotes properly... 1cdc6b1 [Andrew Or] Fix bug: escape escaped double quotes properly c854859 [Andrew Or] Add small comment c13a2cb [Andrew Or] Merge branch 'master' of github.com:apache/spark into submit-driver-extra 8e552b7 [Andrew Or] Include an example of spark.*.extraJavaOptions de765c9 [Andrew Or] Print spark-class command properly a4df3c4 [Andrew Or] Move parsing and escaping logic to utils.sh dec2343 [Andrew Or] Only export variables if they exist fa2136e [Andrew Or] Escape Java options + parse java properties files properly ef12f74 [Andrew Or] Minor formatting 4ec22a1 [Andrew Or] Merge branch 'master' of github.com:apache/spark into submit-driver-extra e5cfb46 [Andrew Or] Collapse duplicate code + fix potential whitespace issues 4edcaa8 [Andrew Or] Redirect stdout to stderr for python 130f295 [Andrew Or] Handle spark.driver.memory too 98dd8e3 [Andrew Or] Add warning if properties file does not exist 8843562 [Andrew Or] Fix compilation issues... 75ee6b4 [Andrew Or] Remove accidentally added file 63ed2e9 [Andrew Or] Merge branch 'master' of github.com:apache/spark into submit-driver-extra 0025474 [Andrew Or] Revert SparkSubmit handling of --driver-* options for only cluster mode a2ab1b0 [Andrew Or] Parse spark.driver.extra* in bash 250cb95 [Andrew Or] Do not ignore spark.driver.extra* for client mode
Simple way to reproduce this in the UI:
```scala
val f = new java.io.File("/tmp/test")
f.delete()
sc.parallelize(1 to 2, 2).map(x => (x,x )).repartition(3).mapPartitionsWithContext { case (context, iter) =>
if (context.partitionId == 0) {
val f = new java.io.File("/tmp/test")
if (!f.exists) {
f.mkdir()
System.exit(0);
}
}
iter
}.count()
```
Author: Reynold Xin <rxin@apache.org>
Closes #1545 from rxin/stage-attempt and squashes the following commits:
3ee1d2a [Reynold Xin] - Rename attempt to retry in UI. - Properly report stage failure in FetchFailed.
40a6bd5 [Reynold Xin] Updated test suites.
c414c36 [Reynold Xin] Fixed the hanging in JobCancellationSuite.
b3e2eed [Reynold Xin] Oops previous code didn't compile.
0f36075 [Reynold Xin] Mark unknown stage attempt with id -1 and drop that in JobProgressListener.
6c08b07 [Reynold Xin] Addressed code review feedback.
4e5faa2 [Reynold Xin] [SPARK-2298] Encode stage attempt in SparkListener & UI.
For further discussion, please check the JIRA entry. This change moves Guava classes to a different package so that they don't conflict with the user-provided Guava (or the Hadoop-provided one). Since one class (Optional) was exposed through Spark's public API, that class was forked from Guava at the current dependency version (14.0.1) so that it can be kept going forward (until the API is cleaned). Note this change has a few implications: - *all* classes in the final jars will reference the relocated classes. If Hadoop classes are included (i.e. "-Phadoop-provided" is not activated), those will also reference the Guava 14 classes (instead of the Guava 11 classes from the Hadoop classpath). - if the Guava version in Spark is ever changed, the new Guava will still reference the forked Optional class; this may or may not be a problem, but in the long term it's better to think about removing Optional from the public API. For the end user, there are two visible implications: - Guava is not provided as a transitive dependency anymore (since it's "provided" in Spark) - At runtime, unless they provide their own, they'll either have no Guava or Hadoop's version of Guava (11), depending on how they set up their classpath. Note that this patch does not change the sbt deliverables; those will still contain guava in its original package, and provide guava as a compile-time dependency. This assumes that maven is the canonical build, and sbt-built artifacts are not (officially) published. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #1813 from vanzin/SPARK-2848 and squashes the following commits: 9bdffb0 [Marcelo Vanzin] Undo sbt build changes. 819b445 [Marcelo Vanzin] Review feedback. 05e0a3d [Marcelo Vanzin] Merge branch 'master' into SPARK-2848 fef4370 [Marcelo Vanzin] Unfork Optional.java. d3ea8e1 [Marcelo Vanzin] Exclude asm classes from final jar. 637189b [Marcelo Vanzin] Add hacky filter to prefer Spark's copy of Optional. 2fec990 [Marcelo Vanzin] Shade Guava in the sbt build. 616998e [Marcelo Vanzin] Shade Guava in the maven build, fork Guava's Optional.java.
We read the py4j port from the stdout of the `bin/spark-submit` subprocess. If there is interference in stdout (e.g. a random echo in `spark-submit`), we throw an exception with a warning message. We do not, however, distinguish between this case from the case where no stdout is produced at all. I wasted a non-trivial amount of time being baffled by this exception in search of places where I print random whitespace (in vain, of course). A clearer exception message that distinguishes between these cases will prevent similar headaches that I have gone through. Author: Andrew Or <andrewor14@gmail.com> Closes #2067 from andrewor14/python-exception and squashes the following commits: 742f823 [Andrew Or] Further clarify warning messages e96a7a0 [Andrew Or] Distinguish between unexpected output and no output at all
Moved TF-IDF before Word2Vec because the former is more basic. I also added a link for Word2Vec. atalwalkar Author: Xiangrui Meng <meng@databricks.com> Closes #2061 from mengxr/tfidf-doc and squashes the following commits: ca04c70 [Xiangrui Meng] address comments a5ea4b4 [Xiangrui Meng] add tf-idf user guide
Updated DecisionTree documentation, with examples for Java, Python. Added same Java example to code as well. CC: @mengxr @manishamde @atalwalkar Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #2063 from jkbradley/dt-docs and squashes the following commits: 2dd2c19 [Joseph K. Bradley] Last updates based on github review. 9dd1b6b [Joseph K. Bradley] Updated decision tree doc. d802369 [Joseph K. Bradley] Updates based on comments: cache data, corrected doc text. b9bee04 [Joseph K. Bradley] Updated DT examples 57eee9f [Joseph K. Bradley] Created JavaDecisionTree example from example in docs, and corrected doc example as needed. d939a92 [Joseph K. Bradley] Updated DecisionTree documentation. Added Java, Python examples.
…ume sink Due to maven bug https://jira.codehaus.org/browse/MNG-1378, maven could not resolve spark streaming classes required by the spark-streaming test-jar dependency of external/flume-sink. There is no particular reason that the external/flume-sink has to depend on Spark Streaming at all, so I am eliminating this dependency. Also I have removed the exclusions present in the Flume dependencies, as there is no reason to exclude them (they were excluded in the external/flume module to prevent dependency collisions with Spark). Since Jenkins will test the sbt build and the unit test, I only tested maven compilation locally. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #2101 from tdas/spark-sink-pom-fix and squashes the following commits: 8f42621 [Tathagata Das] Added Flume sink exclusions back, and added netty to test dependencies 93b559f [Tathagata Das] Removed dependency on spark streaming test from spark flume sink
…g CLI and Thrift JDBC server is absent in proper document - The most important things I mentioned in #1885 is as follows. * People who build Spark is not always programmer. * If a person who build Spark is not a programmer, he/she won't read programmer's guide before building. So, how to build for using CLI and JDBC server is not only in programmer's guide. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2080 from sarutak/SPARK-2963 and squashes the following commits: ee07c76 [Kousuke Saruta] Modified regression of the description about building for using Thrift JDBC server and CLI ed53329 [Kousuke Saruta] Modified description and notaton of proper noun 07c59fc [Kousuke Saruta] Added a description about how to build to use HiveServer and CLI for SparkSQL to building-with-maven.md 6e6645a [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-2963 c88fa93 [Kousuke Saruta] Added a description about building to use HiveServer and CLI for SparkSQL
In JVM 1.8.0, MaxPermSize is no longer supported.
In spark `stderr` output, there would be a line of
Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes #2011 from adrian-wang/maxpermsize and squashes the following commits:
ef1d660 [Daoyuan Wang] direct get java version in runtime
37db9c1 [Daoyuan Wang] code refine
3c1d554 [Daoyuan Wang] remove MaxPermSize option for jvm 1.8
…tion improvements Author: Michael Armbrust <michael@databricks.com> Author: Gregory Owen <greowen@gmail.com> Closes #1935 from marmbrus/countDistinctPartial and squashes the following commits: 5c7848d [Michael Armbrust] turn off caching in the constructor 8074a80 [Michael Armbrust] fix tests 32d216f [Michael Armbrust] reynolds comments c122cca [Michael Armbrust] Address comments, add tests b2e8ef3 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into countDistinctPartial fae38f4 [Michael Armbrust] Fix style fdca896 [Michael Armbrust] cleanup 93d0f64 [Michael Armbrust] metastore concurrency fix. db44a30 [Michael Armbrust] JIT hax. 3868f6c [Michael Armbrust] Merge pull request #9 from GregOwen/countDistinctPartial c9e67de [Gregory Owen] Made SpecificRow and types serializable by Kryo 2b46c4b [Michael Armbrust] Merge remote-tracking branch 'origin/master' into countDistinctPartial 8ff6402 [Michael Armbrust] Add specific row. 58d15f1 [Michael Armbrust] disable codegen logging 87d101d [Michael Armbrust] Fix isNullAt bug abee26d [Michael Armbrust] WIP 27984d0 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into countDistinctPartial 57ae3b1 [Michael Armbrust] Fix order dependent test b3d0f64 [Michael Armbrust] Add golden files. c1f7114 [Michael Armbrust] Improve tests / fix serialization. f31b8ad [Michael Armbrust] more fixes 38c7449 [Michael Armbrust] comments and style 9153652 [Michael Armbrust] better toString d494598 [Michael Armbrust] Fix tests now that the planner is better 41fbd1d [Michael Armbrust] Never try and create an empty hash set. 050bb97 [Michael Armbrust] Skip no-arg constructors for kryo, bd08239 [Michael Armbrust] WIP 213ada8 [Michael Armbrust] First draft of partially aggregated and code generated count distinct / max
RDD.max(key=None)
param key: A function used to generate key for comparing
>>> rdd = sc.parallelize([1.0, 5.0, 43.0, 10.0])
>>> rdd.max()
43.0
>>> rdd.max(key=str)
5.0
RDD.min(key=None)
Find the minimum item in this RDD.
param key: A function used to generate key for comparing
>>> rdd = sc.parallelize([2.0, 5.0, 43.0, 10.0])
>>> rdd.min()
2.0
>>> rdd.min(key=str)
10.0
RDD.top(num, key=None)
Get the top N elements from a RDD.
Note: It returns the list sorted in descending order.
>>> sc.parallelize([10, 4, 2, 12, 3]).top(1)
[12]
>>> sc.parallelize([2, 3, 4, 5, 6], 2).top(2)
[6, 5]
>>> sc.parallelize([10, 4, 2, 12, 3]).top(3, key=str)
[4, 3, 2]
Author: Davies Liu <davies.liu@gmail.com>
Closes #2094 from davies/cmp and squashes the following commits:
ccbaf25 [Davies Liu] add `key` to top()
ad7e374 [Davies Liu] fix tests
2f63512 [Davies Liu] change `comp` to `key` in min/max
dd91e08 [Davies Liu] add `comp` argument for RDD.max() and RDD.min()
RDD.countApprox(self, timeout, confidence=0.95)
:: Experimental ::
Approximate version of count() that returns a potentially incomplete
result within a timeout, even if not all tasks have finished.
>>> rdd = sc.parallelize(range(1000), 10)
>>> rdd.countApprox(1000, 1.0)
1000
RDD.sumApprox(self, timeout, confidence=0.95)
Approximate operation to return the sum within a timeout
or meet the confidence.
>>> rdd = sc.parallelize(range(1000), 10)
>>> r = sum(xrange(1000))
>>> (rdd.sumApprox(1000) - r) / r < 0.05
RDD.meanApprox(self, timeout, confidence=0.95)
:: Experimental ::
Approximate operation to return the mean within a timeout
or meet the confidence.
>>> rdd = sc.parallelize(range(1000), 10)
>>> r = sum(xrange(1000)) / 1000.0
>>> (rdd.meanApprox(1000) - r) / r < 0.05
True
Author: Davies Liu <davies.liu@gmail.com>
Closes #2095 from davies/approx and squashes the following commits:
e8c252b [Davies Liu] add approx API for RDD
…have 4 space indentation. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2104 from sarutak/SPARK-3192 and squashes the following commits: db78419 [Kousuke Saruta] Modified indentation of spark-shell
Update the documentation to reflect the fact we can handle roughly square matrices. Author: Reza Zadeh <rizlar@gmail.com> Closes #2070 from rezazadeh/svddocs and squashes the following commits: 826b8fe [Reza Zadeh] left singular vectors 3f34fc6 [Reza Zadeh] PCA is still TS 7ffa2aa [Reza Zadeh] better title aeaf39d [Reza Zadeh] More docs 788ed13 [Reza Zadeh] add computational cost explanation 6429c59 [Reza Zadeh] Add link to rowmatrix docs 1eeab8b [Reza Zadeh] Update SVD documentation to reflect roughly square
allow for best practice code, ``` try: sc = SparkContext() app(sc) finally: sc.stop() ``` to be written using a "with" statement, ``` with SparkContext() as sc: app(sc) ``` Author: Matthew Farrellee <matt@redhat.com> Closes #2335 from mattf/SPARK-3458 and squashes the following commits: 5b4e37c [Matthew Farrellee] [SPARK-3458] enable python "with" statements for SparkContext
…eaking queries This resolves https://issues.apache.org/jira/browse/SPARK-3395 Author: Eric Liang <ekl@google.com> Closes #2266 from ericl/spark-3395 and squashes the following commits: 7f2b6f0 [Eric Liang] add regression test 05bd1e4 [Eric Liang] in the dsl, create a new schema instance in each applySchema
…e i... ...s https Author: Benoy Antony <benoy@apache.org> Closes #2276 from benoyantony/SPARK-3286 and squashes the following commits: c3d51ee [Benoy Antony] Use address with scheme, but Allpha version removes the scheme e82f94e [Benoy Antony] Use address with scheme, but Allpha version removes the scheme 92127c9 [Benoy Antony] rebasing from master 450c536 [Benoy Antony] [SPARK-3286] - Cannot view ApplicationMaster UI when Yarn’s url scheme is https f060c02 [Benoy Antony] [SPARK-3286] - Cannot view ApplicationMaster UI when Yarn’s url scheme is https
Current implementation will ignore else val type. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #2245 from adrian-wang/casewhenbug and squashes the following commits: 3332f6e [Daoyuan Wang] remove wrong comment 83b536c [Daoyuan Wang] a comment to trigger retest d7315b3 [Daoyuan Wang] code improve eed35fc [Daoyuan Wang] bug in casewhen resolve
Type Coercion should support every type to have null value Author: Daoyuan Wang <daoyuan.wang@intel.com> Author: Michael Armbrust <michael@databricks.com> Closes #2246 from adrian-wang/spark3363-0 and squashes the following commits: c6241de [Daoyuan Wang] minor code clean 595b417 [Daoyuan Wang] Merge pull request #2 from marmbrus/pr/2246 832e640 [Michael Armbrust] reduce code duplication ef6f986 [Daoyuan Wang] make double boolean miss in jsonRDD compatibleType c619f0a [Daoyuan Wang] Type Coercion should support every type to have null value
This patch copies the approach used in the MapReduce application master for launching containers. Author: Sandy Ryza <sandy@cloudera.com> Closes #663 from sryza/sandy-spark-1713 and squashes the following commits: 036550d [Sandy Ryza] SPARK-1713. [YARN] Use a threadpool for launching executor containers
First let me write down the current `projections` grammar of spark sql:
expression : orExpression
orExpression : andExpression {"or" andExpression}
andExpression : comparisonExpression {"and" comparisonExpression}
comparisonExpression : termExpression | termExpression "=" termExpression | termExpression ">" termExpression | ...
termExpression : productExpression {"+"|"-" productExpression}
productExpression : baseExpression {"*"|"/"|"%" baseExpression}
baseExpression : expression "[" expression "]" | ... | ident | ...
ident : identChar {identChar | digit} | delimiters | ...
identChar : letter | "_" | "."
delimiters : "," | ";" | "(" | ")" | "[" | "]" | ...
projection : expression [["AS"] ident]
projections : projection { "," projection}
For something like `a.b.c[1]`, it will be parsed as:
<img src="http://img51.imgspice.com/i/03008/4iltjsnqgmtt_t.jpg" border=0>
But for something like `a[1].b`, the current grammar can't parse it correctly.
A simple solution is written in `ParquetQuerySuite#NestedSqlParser`, changed grammars are:
delimiters : "." | "," | ";" | "(" | ")" | "[" | "]" | ...
identChar : letter | "_"
baseExpression : expression "[" expression "]" | expression "." ident | ... | ident | ...
This works well, but can't cover some corner case like `select t.a.b from table as t`:
<img src="http://img51.imgspice.com/i/03008/v2iau3hoxoxg_t.jpg" border=0>
`t.a.b` parsed as `GetField(GetField(UnResolved("t"), "a"), "b")` instead of `GetField(UnResolved("t.a"), "b")` using this new grammar.
However, we can't resolve `t` as it's not a filed, but the whole table.(if we could do this, then `select t from table as t` is legal, which is unexpected)
My solution is:
dotExpressionHeader : ident "." ident
baseExpression : expression "[" expression "]" | expression "." ident | ... | dotExpressionHeader | ident | ...
I passed all test cases under sql locally and add a more complex case.
"arrayOfStruct.field1 to access all values of field1" is not supported yet. Since this PR has changed a lot of code, I will open another PR for it.
I'm not familiar with the latter optimize phase, please correct me if I missed something.
Author: Wenchen Fan <cloud0fan@163.com>
Author: Michael Armbrust <michael@databricks.com>
Closes #2230 from cloud-fan/dot and squashes the following commits:
e1a8898 [Wenchen Fan] remove support for arbitrary nested arrays
ee8a724 [Wenchen Fan] rollback LogicalPlan, support dot operation on nested array type
a58df40 [Michael Armbrust] add regression test for doubly nested data
16bc4c6 [Wenchen Fan] some enhance
95d733f [Wenchen Fan] split long line
dc31698 [Wenchen Fan] SPARK-2096 Correctly parse dot notations
… across workers If the waiting driver array is too big, the drivers in it will be dispatched to the first worker we get(if it has enough resources), with or without the Randomization. We should do randomization every time we dispatch a driver, in order to better balance drivers. Author: WangTaoTheTonic <barneystinson@aliyun.com> Author: WangTao <barneystinson@aliyun.com> Closes #1106 from WangTaoTheTonic/fixBalanceDrivers and squashes the following commits: d1a928b [WangTaoTheTonic] Minor adjustment b6560cf [WangTaoTheTonic] solve the shuffle problem for HashSet f674e59 [WangTaoTheTonic] add comment and minor fix 2835929 [WangTao] solve the failed test and avoid filtering 2ca3091 [WangTao] fix checkstyle bc91bb1 [WangTao] Avoid shuffle every time we schedule the driver using round robin bbc7087 [WangTaoTheTonic] Optimize the schedule in Master
…um instances per node as training parameters for decision tree. These two parameters can act as early stop rules to do pre-pruning. When a split cause cause left or right child to have less than `minInstancesPerNode` or has less information gain than `minInfoGain`, current node will not be split by this split. When there is no possible splits that satisfy requirements, there is no useful information gain stats, but we still need to calculate the predict value for current node. So I separated calculation of predict from calculation of information gain, which can also save computation when the number of possible splits is large. Please see [SPARK-3272](https://issues.apache.org/jira/browse/SPARK-3272) for more details. CC: mengxr manishamde jkbradley, please help me review this, thanks. Author: qiping.lqp <qiping.lqp@alibaba-inc.com> Author: chouqin <liqiping1991@gmail.com> Closes #2332 from chouqin/dt-preprune and squashes the following commits: f1d11d1 [chouqin] fix typo c7ebaf1 [chouqin] fix typo 39f9b60 [chouqin] change edge `minInstancesPerNode` to 2 and add one more test 0278a11 [chouqin] remove `noSplit` and set `Predict` private to tree d593ec7 [chouqin] fix docs and change minInstancesPerNode to 1 efcc736 [qiping.lqp] fix bug 10b8012 [qiping.lqp] fix style 6728fad [qiping.lqp] minor fix: remove empty lines bb465ca [qiping.lqp] Merge branch 'master' of https://github.com/apache/spark into dt-preprune cadd569 [qiping.lqp] add api docs 46b891f [qiping.lqp] fix bug e72c7e4 [qiping.lqp] add comments 845c6fa [qiping.lqp] fix style f195e83 [qiping.lqp] fix style 987cbf4 [qiping.lqp] fix bug ff34845 [qiping.lqp] separate calculation of predict of node from calculation of info gain ac42378 [qiping.lqp] add min info gain and min instances per node parameters in decision tree
In order to read from partitioned Avro files we need to also set the `SERDEPROPERTIES` since `TBLPROPERTIES` are not passed to the initialization. This PR simply adds a test to make sure we don't break this workaround. Author: Michael Armbrust <michael@databricks.com> Closes #2340 from marmbrus/avroPartitioned and squashes the following commits: 6b969d6 [Michael Armbrust] fix style fea2124 [Michael Armbrust] Add test case with workaround for reading partitioned avro files.
…id NPE Author: Michael Armbrust <michael@databricks.com> Closes #2323 from marmbrus/kryoJListNPE and squashes the following commits: 9634f11 [Michael Armbrust] Rollback JSON RDD changes 4d4d93c [Michael Armbrust] Merge remote-tracking branch 'origin/master' into kryoJListNPE 646976b [Michael Armbrust] Fix JSON RDD Conversion too 59065bc [Michael Armbrust] Remove explicit conversion to avoid NPE
LogicalPlan contains a ‘resolved’ attribute indicating that all of its execution requirements have been resolved. This attribute is not checked before query execution. The analyzer contains a step to check that all Expressions are resolved, but this is not equivalent to checking all LogicalPlans. In particular, the Union plan’s implementation of ‘resolved’ verifies that the types of its children’s columns are compatible. Because the analyzer does not check that a Union plan is resolved, it is possible to execute a Union plan that outputs different types in the same column. See SPARK-2781 for an example. This patch adds two checks to the analyzer’s CheckResolution rule. First, each logical plan is checked to see if it is not resolved despite its children being resolved. This allows the ‘problem’ unresolved plan to be included in the TreeNodeException for reporting. Then as a backstop the root plan is checked to see if it is resolved, which recursively checks that the entire plan tree is resolved. Note that the resolved attribute is implemented recursively, and this patch also explicitly checks the resolved attribute on each logical plan in the tree. I assume the query plan trees will not be large enough for this redundant checking to meaningfully impact performance. Because this patch starts validating that LogicalPlans are resolved before execution, I had to fix some cases where unresolved plans were passing through the analyzer as part of the implementation of the hive query system. In particular, HiveContext applies the CreateTables and PreInsertionCasts, and ExtractPythonUdfs rules manually after the analyzer runs. I moved these rules to the analyzer stage (for hive queries only), in the process completing a code TODO indicating the rules should be moved to the analyzer. It’s worth noting that moving the CreateTables rule means introducing an analyzer rule with a significant side effect - in this case the side effect is creating a hive table. The rule will only attempt to create a table once even if its batch is executed multiple times, because it converts the InsertIntoCreatedTable plan it matches against into an InsertIntoTable. Additionally, these hive rules must be added to the Resolution batch rather than as a separate batch because hive rules rules may be needed to resolve non-root nodes, leaving the root to be resolved on a subsequent batch iteration. For example, the hive compatibility test auto_smb_mapjoin_14, and others, make use of a query plan where the root is a Union and its children are each a hive InsertIntoTable. Mixing the custom hive rules with standard analyzer rules initially resulted in an additional failure because of policy differences between spark sql and hive when casting a boolean to a string. Hive casts booleans to strings as “true” / “false” while spark sql casts booleans to strings as “1” / “0” (causing the cast1.q test to fail). This behavior is a result of the BooleanCasts rule in HiveTypeCoercion.scala, and from looking at the implementation of BooleanCasts I think converting to to “1”/“0” is potentially a programming mistake. (If the BooleanCasts rule is disabled, casting produces “true”/“false” instead.) I believe “true” / “false” should be the behavior for spark sql - I changed the behavior so bools are converted to “true”/“false” to be consistent with hive, and none of the existing spark tests failed. Finally, in some initial testing with hive it appears that an implicit type coercion of boolean to string results in a lowercase string, e.g. CONCAT( TRUE, “” ) -> “true” while an explicit cast produces an all caps string, e.g. CAST( TRUE AS STRING ) -> “TRUE”. The change I’ve made just converts to lowercase strings in all cases. I believe it is at least more correct than the existing spark sql implementation where all Cast expressions become “1” / “0”. Author: Aaron Staple <aaron.staple@gmail.com> Closes #1706 from staple/SPARK-2781 and squashes the following commits: 32683c4 [Aaron Staple] Fix compilation failure due to merge. 7c77fda [Aaron Staple] Move ExtractPythonUdfs to Analyzer's extendedRules in HiveContext. d49bfb3 [Aaron Staple] Address review comments. 915b690 [Aaron Staple] Fix merge issue causing compilation failure. 701dcd2 [Aaron Staple] [SPARK-2781][SQL] Check resolution of LogicalPlans in Analyzer.
Updated pull request, reflecting YARN stable and alpha states. I am getting intermittent test failures on my own test infrastructure. Is that tracked anywhere yet? Author: Chris Cope <ccope@resilientscience.com> Closes #2253 from copester/master and squashes the following commits: 5ad89da [Chris Cope] [SPARK-2140] Removing calculateAMMemory functions since they are no longer needed. 52b4e45 [Chris Cope] [SPARK-2140] Updating heap memory calculation for YARN stable and alpha.
str is much efficient than unicode (both CPU and memory), it'e better to use str in textFileRDD. In order to keep compatibility, use unicode by default. (Maybe change it in the future).
use_unicode=True:
daviesliudm:~/work/spark$ time python wc.py
(u'./universe/spark/sql/core/target/java/org/apache/spark/sql/execution/ExplainCommand$.java', 7776)
real 2m8.298s
user 0m0.185s
sys 0m0.064s
use_unicode=False
daviesliudm:~/work/spark$ time python wc.py
('./universe/spark/sql/core/target/java/org/apache/spark/sql/execution/ExplainCommand$.java', 7776)
real 1m26.402s
user 0m0.182s
sys 0m0.062s
We can see that it got 32% improvement!
Author: Davies Liu <davies.liu@gmail.com>
Closes #1951 from davies/unicode and squashes the following commits:
8352d57 [Davies Liu] update version number
a286f2f [Davies Liu] rollback loads()
85246e5 [Davies Liu] add docs for use_unicode
a0295e1 [Davies Liu] add an option to use str in textFile()
…JSON array and JSON object nesting This PR aims to correctly handle JSON arrays in the type of `ArrayType(...(ArrayType(StructType)))`. JIRA: https://issues.apache.org/jira/browse/SPARK-3390. Author: Yin Huai <huai@cse.ohio-state.edu> Closes #2364 from yhuai/SPARK-3390 and squashes the following commits: 46db418 [Yin Huai] Handle JSON arrays in the type of ArrayType(...(ArrayType(StructType))).
We currently open many ephemeral ports during the tests, and as a result we occasionally can't bind to new ones. This has caused the `DriverSuite` and the `SparkSubmitSuite` to fail intermittently. By disabling the `SparkUI` when it's not needed, we already cut down on the number of ports opened significantly, on the order of the number of `SparkContexts` ever created. We must keep it enabled for a few tests for the UI itself, however. Author: Andrew Or <andrewor14@gmail.com> Closes #2363 from andrewor14/disable-ui-for-tests and squashes the following commits: 332a7d5 [Andrew Or] No need to set spark.ui.port to 0 anymore 30c93a2 [Andrew Or] Simplify streaming UISuite a431b84 [Andrew Or] Fix streaming test failures 8f5ae53 [Andrew Or] Fix no new line at the end 29c9b5b [Andrew Or] Disable SparkUI for tests
Changes logging from ``` 14/09/05 02:01:08 INFO SecurityManager: Changing view acls to: aash, 14/09/05 02:01:08 INFO SecurityManager: Changing modify acls to: aash, 14/09/05 02:01:08 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(aash, ); users with modify permissions: Set(aash, ) ``` to ``` 14/09/05 02:28:28 INFO SecurityManager: Changing view acls to: aash 14/09/05 02:28:28 INFO SecurityManager: Changing modify acls to: aash 14/09/05 02:28:28 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(aash); users with modify permissions: Set(aash) ``` Note that the first set of logs have a Set of size 2 containing "aash" and the empty string "" cc tgravescs Author: Andrew Ash <andrew@andrewash.com> Closes #2286 from ash211/empty-default-acl and squashes the following commits: 18cc612 [Andrew Ash] Use .isEmpty instead of =="" cf973a1 [Andrew Ash] Don't include the empty string "" as a defaultAclUser
Author: Cody Koeninger <cody.koeninger@mediacrossing.com> Closes #2345 from koeninger/SPARK-3462 and squashes the following commits: 5c8d24d [Cody Koeninger] SPARK-3462 remove now-unused parameter 0788691 [Cody Koeninger] SPARK-3462 add tests, handle compatible schema with different aliases, per marmbrus feedback ef47b3b [Cody Koeninger] SPARK-3462 push down filters and projections into Unions
Before overwrite t.taskMetrics, take a deepcopy of it. Author: Davies Liu <davies.liu@gmail.com> Closes #2338 from davies/fix_metric and squashes the following commits: a5cdb63 [Davies Liu] Merge branch 'master' into fix_metric 7c879e0 [Davies Liu] add more comments 754b5b8 [Davies Liu] copy taskMetrics only when isLocal is true 5ca26dc [Davies Liu] fix task metrics aggregation in local mode
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Testing arguments to `sbt` need to be passed as an array, not a single, long string. Fixes a bug introduced in apache#2420. Author: Nicholas Chammas <nicholas.chammas@gmail.com> Closes apache#2437 from nchammas/selective-testing and squashes the following commits: a9f9c1c [Nicholas Chammas] fix printing of sbt test arguments cf57cbf [Nicholas Chammas] fix sbt test arguments e33b978 [Nicholas Chammas] Merge pull request #2 from apache/master 0b47ca4 [Nicholas Chammas] Merge branch 'master' of github.com:nchammas/spark 8051486 [Nicholas Chammas] Merge pull request #1 from apache/master 03180a4 [Nicholas Chammas] Merge branch 'master' of github.com:nchammas/spark d4c5f43 [Nicholas Chammas] Merge pull request #6 from apache/master
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…ion sometimes JobProgressPage could not show Fair Scheduler Pools section sometimes. SparkContext starts webui and then postEnvironmentUpdate. Sometimes JobProgressPage is accessed between webui starting and postEnvironmentUpdate, then the lazy val isFairScheduler will be false. The Fair Scheduler Pools section will not display any more. Author: yantangzhai <tyz0303@163.com> Author: YanTangZhai <hakeemzhai@tencent.com> Closes apache#1966 from YanTangZhai/SPARK-3067 and squashes the following commits: d4323f8 [yantangzhai] update [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes 8a00106 [YanTangZhai] Merge pull request #6 from apache/master b6391cc [yantangzhai] revert [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes d2226cd [yantangzhai] [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes cbcba66 [YanTangZhai] Merge pull request #3 from apache/master aac7f7b [yantangzhai] [SPARK-3067] JobProgressPage could not show Fair Scheduler Pools section sometimes cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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…if sql has null
val jsc = new org.apache.spark.api.java.JavaSparkContext(sc)
val jhc = new org.apache.spark.sql.hive.api.java.JavaHiveContext(jsc)
val nrdd = jhc.hql("select null from spark_test.for_test")
println(nrdd.schema)
Then the error is thrown as follows:
scala.MatchError: NullType (of class org.apache.spark.sql.catalyst.types.NullType$)
at org.apache.spark.sql.types.util.DataTypeConversions$.asJavaDataType(DataTypeConversions.scala:43)
Author: YanTangZhai <hakeemzhai@tencent.com>
Author: yantangzhai <tyz0303@163.com>
Author: Michael Armbrust <michael@databricks.com>
Closes apache#3538 from YanTangZhai/MatchNullType and squashes the following commits:
e052dff [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
4b4bb34 [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
896c7b7 [yantangzhai] fix NullType MatchError in JavaSchemaRDD when sql has null
6e643f8 [YanTangZhai] Merge pull request #11 from apache/master
e249846 [YanTangZhai] Merge pull request #10 from apache/master
d26d982 [YanTangZhai] Merge pull request #9 from apache/master
76d4027 [YanTangZhai] Merge pull request #8 from apache/master
03b62b0 [YanTangZhai] Merge pull request #7 from apache/master
8a00106 [YanTangZhai] Merge pull request #6 from apache/master
cbcba66 [YanTangZhai] Merge pull request #3 from apache/master
cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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…ins an empty AttributeSet() references The sql "select * from spark_test::for_test where abs(20141202) is not null" has predicates=List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)) and partitionKeyIds=AttributeSet(). PruningPredicates is List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)). Then the exception "java.lang.IllegalArgumentException: requirement failed: Partition pruning predicates only supported for partitioned tables." is thrown. The sql "select * from spark_test::for_test_partitioned_table where abs(20141202) is not null and type_id=11 and platform = 3" with partitioned key insert_date has predicates=List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202), (type_id#12 = 11), (platform#8 = 3)) and partitionKeyIds=AttributeSet(insert_date#24). PruningPredicates is List(IS NOT NULL HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFAbs(20141202)). Author: YanTangZhai <hakeemzhai@tencent.com> Author: yantangzhai <tyz0303@163.com> Closes apache#3556 from YanTangZhai/SPARK-4693 and squashes the following commits: 620ebe3 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references 37cfdf5 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references 70a3544 [yantangzhai] [SPARK-4693] [SQL] PruningPredicates may be wrong if predicates contains an empty AttributeSet() references efa9b03 [YanTangZhai] Update HiveQuerySuite.scala 72accf1 [YanTangZhai] Update HiveQuerySuite.scala e572b9a [YanTangZhai] Update HiveStrategies.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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…askTracker to reduce the chance of the communicating problem Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem Author: YanTangZhai <hakeemzhai@tencent.com> Author: yantangzhai <tyz0303@163.com> Closes apache#3785 from YanTangZhai/SPARK-4946 and squashes the following commits: 9ca6541 [yantangzhai] [SPARK-4946] [CORE] Using AkkaUtils.askWithReply in MapOutputTracker.askTracker to reduce the chance of the communicating problem e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 718afeb [YanTangZhai] Merge pull request #12 from apache/master 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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Support ! boolean logic operator like NOT in sql as follows select * from for_test where !(col1 > col2) Author: YanTangZhai <hakeemzhai@tencent.com> Author: Michael Armbrust <michael@databricks.com> Closes apache#3555 from YanTangZhai/SPARK-4692 and squashes the following commits: 1a9f605 [YanTangZhai] Update HiveQuerySuite.scala 7c03c68 [YanTangZhai] Merge pull request #23 from apache/master 992046e [YanTangZhai] Update HiveQuerySuite.scala ea618f4 [YanTangZhai] Update HiveQuerySuite.scala 192411d [YanTangZhai] Merge pull request #17 from YanTangZhai/master e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala efc4210 [YanTangZhai] Update HiveQuerySuite.scala bd2c444 [YanTangZhai] Update HiveQuerySuite.scala 1893956 [YanTangZhai] Merge pull request #14 from marmbrus/pr/3555 59e4de9 [Michael Armbrust] make hive test 718afeb [YanTangZhai] Merge pull request #12 from apache/master 950b21e [YanTangZhai] Update HiveQuerySuite.scala 74175b4 [YanTangZhai] Update HiveQuerySuite.scala 92242c7 [YanTangZhai] Update HiveQl.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
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