Create CreateTableDesc in HiveQl #17
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| // Get the CreateTableDesc from Hive SemanticAnalyzer | ||
| val hconf = newHiveConf() | ||
| val sa = new SemanticAnalyzer(hconf) { |
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I don't think that we can use the semantic analyzer because we are not connected to a Hive metastore anymore. This is why I was implementing the parsing rules manually.
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Both class ASTNode and SemanticAnalyzer are actually in the hive-exec-${version}.jar, which mean they will be loaded by the same classloader, I think we have to isolate the whole HiveQl module via classloader as well.
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No, the version of Hive that we use for parsing should not be dictated by the version of Hive that we are using to talk to the metastore. The problem here is the SemanticAnalyzer does more than parsing, its also doing resolution. Therefore, it cannot not be used by us since it is connected to a fake metastore that is only used for execution, Thus the tables its looking for will not exist. This way of doing it is also hacky and tightly couples us with Hive unnecessarily.
Instead, we should parse the the AST as I started doing below, converting it into the version neutral intermediate format so that it can be correctly passed to whatever version of the metastore we are talking to.
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Ok, I see your point, but seems we have to connect the metastore.
e.g. In HiveQl, it has DDL command like CREATE TABLE LIKE <table>, that's why I moved the parsing part into the analysis stage(rule CreateTables) previously.
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I see. If I understand correctly CREATE TABLE LIKE doesn't actually involve any question execution, so should just be a NativeCommand.
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Oh, CTLT will be convert into NativePlaceholder, anyway, the parser for the serde stuff always slightly different among different versions, it may take more time in maintaining it in the future, are you sure we need to do this?
e.g. https://cwiki.apache.org/confluence/display/Hive/Parquet#Parquet-HiveQLSyntax
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From now on we will only be supporting the latest version of HiveQL in Spark SQL (currently 13, but we hope to upgrade soon) since we can independently connect to older metastores. We already have to update the parser when we there are new language features so this seems strictly better than relying on overrides in something as complicated as the SemanticAnalyzer.
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OK, I will update the code, thanks for explanation.
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@marmbrus I've updated the code, but still I couldn't get the whole unit test run (proxy issues in downloading the jars), however, I've added some basic unit tests, hopefully it can cover most of the cases. I will keep updating the code if any more comments. |
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Great, thanks for working on this. Since there are a lot of other things blocking on my change, I'd like to go ahead and merge it as soon as I've passed tests. I've opened SPARK-7411 to track this. Would you mind opening this as a separate PR once mine is merged to master? I've also refactored the code so that unit tests are run without downloading jar files (other than |
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Yes, I will do that after your PR is merged. (I like the idea unit testing without downloading jars :) ) |
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…items Add 1. Class methods squared_dist 3. parse 4. norm 5. numNonzeros 6. copy I made a few vectorizations wrt squared_dist and dot as well. I have added support for SparseMatrix serialization in a separate PR (apache#5775) and plan to complete support for Matrices in another PR. Author: MechCoder <[email protected]> Closes apache#5872 from MechCoder/local_linalg_api and squashes the following commits: a8ff1e0 [MechCoder] minor ce3e53e [MechCoder] Add error message for parser 1bd3c04 [MechCoder] Robust parser and removed unnecessary methods f779561 [MechCoder] [SPARK-7328] Pyspark.mllib.linalg.Vectors: Missing items
See https://issues.apache.org/jira/browse/SPARK-5726 Author: Octavian Geagla <[email protected]> Author: Joseph K. Bradley <[email protected]> Closes apache#4580 from ogeagla/spark-mllib-weighting and squashes the following commits: fac12ad [Octavian Geagla] [SPARK-5726] [MLLIB] Use new createTransformFunc. 90f7e39 [Joseph K. Bradley] small cleanups 4595165 [Octavian Geagla] [SPARK-5726] [MLLIB] Remove erroneous test case. ded3ac6 [Octavian Geagla] [SPARK-5726] [MLLIB] Pass style checks. 37d4705 [Octavian Geagla] [SPARK-5726] [MLLIB] Incorporated feedback. 1dffeee [Octavian Geagla] [SPARK-5726] [MLLIB] Pass style checks. e436896 [Octavian Geagla] [SPARK-5726] [MLLIB] Remove 'TF' from 'ElementwiseProductTF' cb520e6 [Octavian Geagla] [SPARK-5726] [MLLIB] Rename HadamardProduct to ElementwiseProduct 4922722 [Octavian Geagla] [SPARK-5726] [MLLIB] Hadamard Vector Product Transformer
The compression is based on storage. brkyvz Author: Xiangrui Meng <[email protected]> Closes apache#5985 from mengxr/SPARK-6948 and squashes the following commits: df56a00 [Xiangrui Meng] update python tests 6d90d45 [Xiangrui Meng] compress vectors in VectorAssembler
`Star` and `MultiAlias` just used in `analyzer` and them will be substituted after analyze, So just like `Alias` they do not need extend `Attribute` Author: scwf <[email protected]> Closes apache#5928 from scwf/attribute and squashes the following commits: 73a0560 [scwf] star and multialias do not need extend attribute
…s is set to -1 JIRA: https://issues.apache.org/jira/browse/SPARK-7277 As automatically determining the number of reducers is not supported (`mapred.reduce.tasks` is set to `-1`), we should throw exception to users. Author: Liang-Chi Hsieh <[email protected]> Closes apache#5811 from viirya/no_neg_reduce_tasks and squashes the following commits: e518f96 [Liang-Chi Hsieh] Consider other wrong setting values. fd9c817 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into no_neg_reduce_tasks 4ede705 [Liang-Chi Hsieh] Throw exception instead of warning message. 68a1c70 [Liang-Chi Hsieh] Show warning message if mapred.reduce.tasks is set to -1.
…entError Go through the context classloader when reflecting on user types in ScalaReflection. Replaced calls to `typeOf` with `typeTag[T].in(mirror)`. The convenience method assumes all types can be found in the classloader that loaded scala-reflect (the primordial classloader). This assumption is not valid in all contexts (sbt console, Eclipse launchers). Fixed SPARK-5281 Author: Iulian Dragos <[email protected]> Closes apache#5981 from dragos/issue/mirrors-missing-requirement-error and squashes the following commits: d103e70 [Iulian Dragos] Go through the context classloader when reflecting on user types in ScalaReflection
… a WHEN b THEN c * END" Avoid translating to CaseWhen and evaluate the key expression many times. Author: Wenchen Fan <[email protected]> Closes apache#5979 from cloud-fan/condition and squashes the following commits: 3ce54e1 [Wenchen Fan] add CaseKeyWhen
Author: tedyu <[email protected]> Closes apache#5897 from tedyu/master and squashes the following commits: 473bf9d [tedyu] Address Josh's review comments 1719c5b [tedyu] Correct upper bound in for loop b51dcaf [tedyu] Add unit test in BitSetSuite for BitSet#anySet() 83f9f87 [tedyu] Merge branch 'master' of github.com:apache/spark 817e3f9 [tedyu] Replace constant 8 with SIZE_OF_LONG 75a467b [tedyu] Correct offset for UNSAFE.getLong() 855374b [tedyu] Remove second loop since bitSetWidthInBytes is WORD aligned 093b7a4 [tedyu] Use UNSAFE.getLong() to speed up BitSetMethods#anySet() 63ee050 [tedyu] Use UNSAFE.getLong() to speed up BitSetMethods#anySet() 4ca0ef6 [tedyu] Use UNSAFE.getLong() to speed up BitSetMethods#anySet() 3e9b691 [tedyu] Use UNSAFE.getLong() to speed up BitSetMethods#anySet()
…tion when jobs are dropped by SparkListener If jobs are dropped by SparkListener, at least we can show the job ids in BatchPage. Screenshot:  Author: zsxwing <[email protected]> Closes apache#5840 from zsxwing/SPARK-7305 and squashes the following commits: aca0ba6 [zsxwing] Fix the code style 718765e [zsxwing] Make generateNormalJobRow private 8073b03 [zsxwing] Merge branch 'master' into SPARK-7305 83dec11 [zsxwing] Make BatchPage show friendly information when jobs are dropped by SparkListener
This PR switches Spark SQL's Hive support to use the isolated hive client interface introduced by apache#5851, instead of directly interacting with the client. By using this isolated client we can now allow users to dynamically configure the version of Hive that they are connecting to by setting `spark.sql.hive.metastore.version` without the need recompile. This also greatly reduces the surface area for our interaction with the hive libraries, hopefully making it easier to support other versions in the future. Jars for the desired hive version can be configured using `spark.sql.hive.metastore.jars`, which accepts the following options: - a colon-separated list of jar files or directories for hive and hadoop. - `builtin` - attempt to discover the jars that were used to load Spark SQL and use those. This option is only valid when using the execution version of Hive. - `maven` - download the correct version of hive on demand from maven. By default, `builtin` is used for Hive 13. This PR also removes the test step for building against Hive 12, as this will no longer be required to talk to Hive 12 metastores. However, the full removal of the Shim is deferred until a later PR. Remaining TODOs: - Remove the Hive Shims and inline code for Hive 13. - Several HiveCompatibility tests are not yet passing. - `nullformatCTAS` - As detailed below, we now are handling CTAS parsing ourselves instead of hacking into the Hive semantic analyzer. However, we currently only handle the common cases and not things like CTAS where the null format is specified. - `combine1` now leaks state about compression somehow, breaking all subsequent tests. As such we currently add it to the blacklist - `part_inherit_tbl_props` and `part_inherit_tbl_props_with_star` do not work anymore. We are correctly propagating the information - "load_dyn_part14.*" - These tests pass when run on their own, but fail when run with all other tests. It seems our `RESET` mechanism may not be as robust as it used to be? Other required changes: - `CreateTableAsSelect` no longer carries parts of the HiveQL AST with it through the query execution pipeline. Instead, we parse CTAS during the HiveQL conversion and construct a `HiveTable`. The full parsing here is not yet complete as detailed above in the remaining TODOs. Since the operator is Hive specific, it is moved to the hive package. - `Command` is simplified to be a trait that simply acts as a marker for a LogicalPlan that should be eagerly evaluated. Author: Michael Armbrust <[email protected]> Closes apache#5876 from marmbrus/useIsolatedClient and squashes the following commits: 258d000 [Michael Armbrust] really really correct path handling e56fd4a [Michael Armbrust] getAbsolutePath 5a259f5 [Michael Armbrust] fix typos 81bb366 [Michael Armbrust] comments from vanzin 5f3945e [Michael Armbrust] Merge remote-tracking branch 'origin/master' into useIsolatedClient 4b5cd41 [Michael Armbrust] yin's comments f5de7de [Michael Armbrust] cleanup 11e9c72 [Michael Armbrust] better coverage in versions suite 7e8f010 [Michael Armbrust] better error messages and jar handling e7b3941 [Michael Armbrust] more permisive checking for function registration da91ba7 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into useIsolatedClient 5fe5894 [Michael Armbrust] fix serialization suite 81711c4 [Michael Armbrust] Initial support for running without maven 1d8ae44 [Michael Armbrust] fix final tests? 1c50813 [Michael Armbrust] more comments a3bee70 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into useIsolatedClient a6f5df1 [Michael Armbrust] style ab07f7e [Michael Armbrust] WIP 4d8bf02 [Michael Armbrust] Remove hive 12 compilation 8843a25 [Michael Armbrust] [SPARK-6908] [SQL] Use isolated Hive client
the toArray function of the BoundedPriorityQueue does not necessarily preserve order. Add a counter-example as the test, which would fail the original impl. Author: Shuo Xiang <[email protected]> Closes apache#5990 from coderxiang/topbykey-test and squashes the following commits: 98804c9 [Shuo Xiang] fix bug in topBykey and update test
With apache@0a2b15c, the serialization stream and deserialization stream has enough information to determine it is handling a key-value pari, a key, or a value. It is safe to use `SparkSqlSerializer2` in more cases. Author: Yin Huai <[email protected]> Closes apache#5849 from yhuai/serializer2MoreCases and squashes the following commits: 53a5eaa [Yin Huai] Josh's comments. 487f540 [Yin Huai] Use BufferedOutputStream. 8385f95 [Yin Huai] Always create a new row at the deserialization side to work with sort merge join. c7e2129 [Yin Huai] Update tests. 4513d13 [Yin Huai] Use Serializer2 in more places.
This only happens if you have `SPARK_PREPEND_CLASSES` set. Then I built it with `build/sbt clean assembly compile` and just ran it with `bin/spark-shell`.
```
...
15/05/07 17:07:30 INFO EventLoggingListener: Logging events to file:/tmp/spark-events/local-1431043649919
15/05/07 17:07:30 INFO SparkILoop: Created spark context..
Spark context available as sc.
java.lang.NoClassDefFoundError: org/apache/hadoop/hive/conf/HiveConf
at java.lang.Class.getDeclaredConstructors0(Native Method)
at java.lang.Class.privateGetDeclaredConstructors(Class.java:2493)
at java.lang.Class.getConstructor0(Class.java:2803)
...
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hive.conf.HiveConf
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 52 more
<console>:10: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:10: error: not found: value sqlContext
import sqlContext.sql
^
```
yhuai marmbrus
Author: Andrew Or <[email protected]>
Closes apache#5997 from andrewor14/sql-shell-crash and squashes the following commits:
61147e6 [Andrew Or] Also expect NoClassDefFoundError
Added a new batch named `Substitution` before `Resolution` batch. The motivation for this is there are kind of cases we want to do some substitution on the parsed logical plan before resolve it.
Consider this two cases:
1 CTE, for cte we first build a row logical plan
```
'With Map(q1 -> 'Subquery q1
'Project ['key]
'UnresolvedRelation [src], None)
'Project [*]
'Filter ('key = 5)
'UnresolvedRelation [q1], None
```
In `With` logicalplan here is a map stored the (`q1-> subquery`), we want first take off the with command and substitute the `q1` of `UnresolvedRelation` by the `subquery`
2 Another example is Window function, in window function user may define some windows, we also need substitute the window name of child by the concrete window. this should also done in the Substitution batch.
Author: wangfei <[email protected]>
Closes apache#5776 from scwf/addbatch and squashes the following commits:
d4b962f [wangfei] added WindowsSubstitution
70f6932 [wangfei] Merge branch 'master' of https://github.com/apache/spark into addbatch
ecaeafb [wangfei] address yhuai's comments
553005a [wangfei] fix test case
0c54798 [wangfei] address comments
29aaaaf [wangfei] fix compile
1c9a092 [wangfei] added Substitution bastch
Author: Zhang, Liye <[email protected]> Closes apache#5934 from liyezhang556520/kryoBufSize and squashes the following commits: 5707e04 [Zhang, Liye] fix import order 8693288 [Zhang, Liye] replace multiplier with ByteUnit methods 9bf93e9 [Zhang, Liye] add tests d91e5ed [Zhang, Liye] change kb to mb
Based on apache#5478 that provide a PYSPARK_ARCHIVES_PATH env. within this PR, we just should export PYSPARK_ARCHIVES_PATH=/user/spark/pyspark.zip,/user/spark/python/lib/py4j-0.8.2.1-src.zip in conf/spark-env.sh when we don't install PySpark on each node of Yarn. i run python application successfully on yarn-client and yarn-cluster with this PR. andrewor14 sryza Sephiroth-Lin Can you take a look at this?thanks. Author: Lianhui Wang <[email protected]> Closes apache#5580 from lianhuiwang/SPARK-6869 and squashes the following commits: 66ffa43 [Lianhui Wang] Update Client.scala c2ad0f9 [Lianhui Wang] Update Client.scala 1c8f664 [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 008850a [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 f0b4ed8 [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 150907b [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 20402cd [Lianhui Wang] use ZipEntry 9d87c3f [Lianhui Wang] update scala style e7bd971 [Lianhui Wang] address vanzin's comments 4b8a3ed [Lianhui Wang] use pyArchivesEnvOpt e6b573b [Lianhui Wang] address vanzin's comments f11f84a [Lianhui Wang] zip pyspark archives 5192cca [Lianhui Wang] update import path 3b1e4c8 [Lianhui Wang] address tgravescs's comments 9396346 [Lianhui Wang] put zip to make-distribution.sh 0d2baf7 [Lianhui Wang] update import paths e0179be [Lianhui Wang] add zip pyspark archives in build or sparksubmit 31e8e06 [Lianhui Wang] update code style 9f31dac [Lianhui Wang] update code and add comments f72987c [Lianhui Wang] add archives path to PYTHONPATH
Exposes data available in the UI as json over http. Key points: * new endpoints, handled independently of existing XyzPage classes. Root entrypoint is `JsonRootResource` * Uses jersey + jackson for routing & converting POJOs into json * tests against known results in `HistoryServerSuite` * also fixes some minor issues w/ the UI -- synchronizing on access to `StorageListener` & `StorageStatusListener`, and fixing some inconsistencies w/ the way we handle retained jobs & stages. Author: Imran Rashid <[email protected]> Closes apache#5940 from squito/SPARK-3454_better_test_files and squashes the following commits: 1a72ed6 [Imran Rashid] rats 85fdb3e [Imran Rashid] Merge branch 'no_php' into SPARK-3454 1fc65b0 [Imran Rashid] Revert "Revert "[SPARK-3454] separate json endpoints for data in the UI"" 1276900 [Imran Rashid] get rid of giant event file, replace w/ smaller one; check both shuffle read & shuffle write 4e12013 [Imran Rashid] just use test case name for expectation file name 863ef64 [Imran Rashid] rename json files to avoid strange file names and not look like php
Implemented python wrappers for Scala functions that don't exist in `ml.features` Author: Burak Yavuz <[email protected]> Closes apache#5991 from brkyvz/ml-feat-PR and squashes the following commits: adcca55 [Burak Yavuz] add regex tokenizer to __all__ b91cb44 [Burak Yavuz] addressed comments bd39fd2 [Burak Yavuz] remove addition b82bd7c [Burak Yavuz] Parity in PySpark for ml.features
Multiline commands are properly handled in this PR. oefirouz  Author: Xiangrui Meng <[email protected]> Closes apache#6001 from mengxr/SPARK-7474 and squashes the following commits: b94b11d [Xiangrui Meng] update ParamGridBuilder doctest
This patch also removes the RDD docs from being built as a part of roxygen just by the method to delete " ' '" of " \#' ". Author: hqzizania <[email protected]> Author: qhuang <[email protected]> Closes apache#5969 from hqzizania/R1 and squashes the following commits: 6d27696 [qhuang] fixes in NAMESPACE eb4b095 [qhuang] remove more docs 6394579 [qhuang] remove RDD docs in generics.R 6813860 [hqzizania] Fill the docs for DataFrame API in SparkR 857220f [hqzizania] remove the pairRDD docs from being built as a part of roxygen c045d64 [hqzizania] remove the RDD docs from being built as a part of roxygen
…added tests Author: Jacek Lewandowski <[email protected]> Closes apache#5977 from jacek-lewandowski/SPARK-7436 and squashes the following commits: ff0a3c2 [Jacek Lewandowski] SPARK-7436: Fixed instantiation of custom recovery mode factory and added tests
- Colors on the timeline now match the rest of the UI - The expandable buttons to show timeline view, DAG, etc are now more visible - Timeline text is smaller - DAG visualization text and colors are more consistent throughout - Fix some JavaScript style issues - Various small fixes throughout (e.g. inconsistent capitalization, some confusing names, HTML escaping, etc) Author: Matei Zaharia <[email protected]> Closes apache#5942 from mateiz/ui and squashes the following commits: def38d0 [Matei Zaharia] Add some tooltips 4c5a364 [Matei Zaharia] Reduce stage and rank separation slightly 43dcbe3 [Matei Zaharia] Some updates to DAG fac734a [Matei Zaharia] tweaks 6a6705d [Matei Zaharia] More fixes 67629f5 [Matei Zaharia] Various small tweaks
It's the first step: generalize UnresolvedGetField to support all map, struct, and array TODO: add `apply` in Scala and `__getitem__` in Python, and unify the `getItem` and `getField` methods to one single API(or should we keep them for compatibility?). Author: Wenchen Fan <[email protected]> Closes apache#5744 from cloud-fan/generalize and squashes the following commits: 715c589 [Wenchen Fan] address comments 7ea5b31 [Wenchen Fan] fix python test 4f0833a [Wenchen Fan] add python test f515d69 [Wenchen Fan] add apply method and test cases 8df6199 [Wenchen Fan] fix python test 239730c [Wenchen Fan] fix test compile 2a70526 [Wenchen Fan] use _bin_op in dataframe.py 6bf72bc [Wenchen Fan] address comments 3f880c3 [Wenchen Fan] add java doc ab35ab5 [Wenchen Fan] fix python test b5961a9 [Wenchen Fan] fix style c9d85f5 [Wenchen Fan] generalize UnresolvedGetField to support all map, struct, and array
The previous cleanup-commit for SPARK-6627 renamed ShuffleBlockManager to ShuffleBlockResolver, but didn't rename the associated subclasses and variables; this commit does that. I'm unsure whether it's ok to rename ExternalShuffleBlockManager, since that's technically a public class? cc pwendell Author: Kay Ousterhout <[email protected]> Closes apache#5764 from kayousterhout/SPARK-6627 and squashes the following commits: 43add1e [Kay Ousterhout] Spacing fix 96080bf [Kay Ousterhout] Test fixes d8a5d36 [Kay Ousterhout] [SPARK-6627] Finished rename to ShuffleBlockResolver
Simple fix. We were comparing an option with `null`. Before: <img src="https://issues.apache.org/jira/secure/attachment/12731383/before.png" width="250px"/> After: <img src="https://issues.apache.org/jira/secure/attachment/12731384/after.png" width="250px"/> Author: Andrew Or <[email protected]> Closes apache#6002 from andrewor14/dag-viz-orphan-nodes and squashes the following commits: a1468dc [Andrew Or] Fix null check
… file. Order of initialization code was wrong. Author: Marcelo Vanzin <[email protected]> Closes apache#5998 from vanzin/hs-conf-fix and squashes the following commits: 00b6b6b [Marcelo Vanzin] [minor] [core] Allow History Server to read kerberos opts from config file.
The code was treating deep links as if they were attempt IDs, so for example if you tried to load "/history/app1/jobs" directly, that would fail because the code would treat "jobs" as an attempt id. This change modifies the code to try both cases - first without an attempt id, then with it, so that deep links are handled correctly. This assumes that the links in the Spark UI do not clash with the attempt id namespace, though, which is the case for YARN at least, which is the only backend that currently publishes attempt IDs. Author: Marcelo Vanzin <[email protected]> Closes apache#5922 from vanzin/SPARK-7378 and squashes the following commits: 96f648b [Marcelo Vanzin] Fix comparison. ed3bcd4 [Marcelo Vanzin] Merge branch 'master' into SPARK-7378 23483e4 [Marcelo Vanzin] Fat fingers. b728f08 [Marcelo Vanzin] [SPARK-7378] [core] Handle deep links to unloaded apps.
…is greater than zero JIRA: https://issues.apache.org/jira/browse/SPARK-7390 Also fix a minor typo. Author: Liang-Chi Hsieh <[email protected]> Closes apache#5931 from viirya/fix_covariancecounter and squashes the following commits: 352eda6 [Liang-Chi Hsieh] Only merge other CovarianceCounter when its count is greater than zero.
based on apache#3558 Author: Jacky Li <[email protected]> Author: wangfei <[email protected]> Author: scwf <[email protected]> Closes apache#5806 from scwf/case and squashes the following commits: cd51712 [wangfei] fix compile d4b724f [wangfei] address michael's comment af512c7 [wangfei] fix conflicts 4ef1be7 [wangfei] fix conflicts 269cf21 [scwf] fix conflicts b73df6c [scwf] style issue 9e11752 [scwf] improve SimpleCatalystConf b35529e [scwf] minor style a3f7659 [scwf] remove unsed imports 2a56515 [scwf] fix conflicts 6db4bf5 [scwf] also fix for HiveContext 7fc4a98 [scwf] fix test case d5a9933 [wangfei] fix style eee75ba [wangfei] fix EmptyConf 6ef31cf [wangfei] revert pom changes 5d7c456 [wangfei] set CASE_SENSITIVE false in TestHive 966e719 [wangfei] set CASE_SENSITIVE false in hivecontext fd30e25 [wangfei] added override 69b3b70 [wangfei] fix AnalysisSuite 5472b08 [wangfei] fix compile issue 56034ca [wangfei] fix conflicts and improve for catalystconf 664d1e9 [Jacky Li] Merge branch 'master' of https://github.com/apache/spark into case 12eca9a [Jacky Li] solve conflict with master 39e369c [Jacky Li] fix confilct after DataFrame PR dee56e9 [Jacky Li] fix test case failure 05b09a3 [Jacky Li] fix conflict base on the latest master branch 73c16b1 [Jacky Li] fix bug in sql/hive 9bf4cc7 [Jacky Li] fix bug in catalyst 005c56d [Jacky Li] make SQLContext caseSensitivity configurable 6332e0f [Jacky Li] fix bug fcbf0d9 [Jacky Li] fix scalastyle check e7bca31 [Jacky Li] make caseSensitive configuration in Analyzer and Catalog 91b1b96 [Jacky Li] make caseSensitive configurable in Analyzer f57f15c [Jacky Li] add testcase 578d167 [Jacky Li] make caseSensitive configurable
Add a Python API for mllib.feature.ChiSqSelector https://issues.apache.org/jira/browse/SPARK-5913 Author: Yanbo Liang <[email protected]> Closes apache#5939 from yanboliang/spark-5913 and squashes the following commits: cdaac99 [Yanbo Liang] Python API for ChiSqSelector
I needed to run some d2 instances, so I updated the spark_ec2.py accordingly Author: Brendan Collins <[email protected]> Closes apache#6014 from brendancol/ec2-instance-types-update and squashes the following commits: d7b4191 [Brendan Collins] Merge branch 'ec2-instance-types-update' of github.com:brendancol/spark into ec2-instance-types-update 6366c45 [Brendan Collins] added back cc1.4xlarge fc2931f [Brendan Collins] updated ec2 instance types 80c2aa6 [Brendan Collins] vertically aligned whitespace 85c6236 [Brendan Collins] vertically aligned whitespace 1657c26 [Brendan Collins] updated ec2 instance types
Currently we're doing port retries in the TransportServer level, but this is not specified by the TransportContext API and it has other further-reaching impacts like causing undesirable behavior for the Yarn and Standalone shuffle services. Author: Aaron Davidson <[email protected]> Closes apache#5575 from aarondav/port-bind and squashes the following commits: 3c2d6ed [Aaron Davidson] Oops, never do it. a5d9432 [Aaron Davidson] Remove shouldHostShuffleServiceIfEnabled e901eb2 [Aaron Davidson] fix local-cluster mode for ExternalShuffleServiceSuite 59e5e38 [Aaron Davidson] [SPARK-6955] Perform port retries at NettyBlockTransferService level
The DAG visualization currently displays only low-level Spark primitives (e.g. `map`, `reduceByKey`, `filter` etc.). For SQL, these aren't particularly useful. Instead, we should display higher level physical operators (e.g. `Filter`, `Exchange`, `ShuffleHashJoin`). cc marmbrus ----------------- **Before** <img src="https://issues.apache.org/jira/secure/attachment/12731586/before.png" width="600px"/> ----------------- **After** (Pay attention to the words) <img src="https://issues.apache.org/jira/secure/attachment/12731587/after.png" width="600px"/> ----------------- Author: Andrew Or <[email protected]> Closes apache#5999 from andrewor14/dag-viz-sql and squashes the following commits: 0db23a4 [Andrew Or] Merge branch 'master' of github.com:apache/spark into dag-viz-sql 1e211db [Andrew Or] Update comment 0d49fd6 [Andrew Or] Merge branch 'master' of github.com:apache/spark into dag-viz-sql ffd237a [Andrew Or] Fix style 202dac1 [Andrew Or] Make ignoreParent false by default e61b1ab [Andrew Or] Visualize SQL operators, not low-level Spark primitives 569034a [Andrew Or] Add a flag to ignore parent settings and scopes
Author: tedyu <[email protected]> Closes apache#5959 from ted-yu/master and squashes the following commits: f83d445 [tedyu] Move cleaning outside of mapPartitionsWithIndex 56d7c92 [tedyu] Consolidate import of Random f6014c0 [tedyu] Remove cleaning in RDD#filterWith 36feb6c [tedyu] Try to get correct syntax 55d01eb [tedyu] Try to get correct syntax c2786df [tedyu] Correct syntax d92bfcf [tedyu] Correct syntax in test 164d3e4 [tedyu] Correct variable name 8b50d93 [tedyu] Address Andrew's review comments 0c8d47e [tedyu] Add test for mapWith() 6846e40 [tedyu] Add test for flatMapWith() 6c124a9 [tedyu] Clean function in several RDD methods
Adds Python Api for `ALS` under `ml.recommendation` in PySpark. Also adds seed as a settable parameter in the Scala Implementation of ALS. Author: Burak Yavuz <[email protected]> Closes apache#6015 from brkyvz/ml-rec and squashes the following commits: be6e931 [Burak Yavuz] addressed comments eaed879 [Burak Yavuz] readd numFeatures 0bd66b1 [Burak Yavuz] fixed seed 7f6d964 [Burak Yavuz] merged master 52e2bda [Burak Yavuz] added ALS
…sing Spark job to fail Added a check to handle container exit status for the preemption scenario, log an INFO message in such cases and move on. andrewor14 Author: Ashwin Shankar <[email protected]> Closes apache#5993 from ashwinshankar77/SPARK-7451 and squashes the following commits: 90900cf [Ashwin Shankar] Fix log info message cf8b6cf [Ashwin Shankar] Stop counting preemption of executors as failure
Changes include 1. Rename sortDF to arrange 2. Add new aliases `group_by` and `sample_frac`, `summarize` 3. Add more user friendly column addition (mutate), rename 4. Support mean as an alias for avg in Scala and also support n_distinct, n as in dplyr Using these changes we can pretty much run the examples as described in http://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html with the same syntax The only thing missing in SparkR is auto resolving column names when used in an expression i.e. making something like `select(flights, delay)` works in dply but we right now need `select(flights, flights$delay)` or `select(flights, "delay")`. But this is a complicated change and I'll file a new issue for it cc sun-rui rxin Author: Shivaram Venkataraman <[email protected]> Closes apache#6005 from shivaram/sparkr-df-api and squashes the following commits: 5e0716a [Shivaram Venkataraman] Fix some roxygen bugs 1254953 [Shivaram Venkataraman] Merge branch 'master' of https://github.com/apache/spark into sparkr-df-api 0521149 [Shivaram Venkataraman] Changes to make SparkR DataFrame dplyr friendly. Changes include 1. Rename sortDF to arrange 2. Add new aliases `group_by` and `sample_frac`, `summarize` 3. Add more user friendly column addition (mutate), rename 4. Support mean as an alias for avg in Scala and also support n_distinct, n as in dplyr
…apOutputs takes effect This patch refactors the SQL `Exchange` operator's logic for determining whether map outputs need to be copied before being shuffled. As part of this change, we'll now avoid unnecessary copies in cases where sort-based shuffle operates on serialized map outputs (as in apache#4450 / SPARK-4550). This patch also includes a change to copy the input to RangePartitioner partition bounds calculation, which is necessary because this calculation buffers mutable Java objects. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/5948) <!-- Reviewable:end --> Author: Josh Rosen <[email protected]> Closes apache#5948 from JoshRosen/SPARK-7375 and squashes the following commits: f305ff3 [Josh Rosen] Reduce scope of some variables in Exchange 899e1d7 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-7375 6a6bfce [Josh Rosen] Fix issue related to RangePartitioning: ad006a4 [Josh Rosen] [SPARK-7375] Avoid defensive copying in exchange operator when sort.serializeMapOutputs takes effect.
…using OWLQN in new ML package 1) Handle scaling and addBias internally. 2) L1/L2 elasticnet using OWLQN optimizer. Author: DB Tsai <[email protected]> Closes apache#5967 from dbtsai/lor and squashes the following commits: fa029bb [DB Tsai] made the bound smaller 0806002 [DB Tsai] better initial intercept and more test 5c31824 [DB Tsai] fix import c387e25 [DB Tsai] Merge branch 'master' into lor c84e931 [DB Tsai] Made MultiClassSummarizer private f98e711 [DB Tsai] address feedback a784321 [DB Tsai] fix style 8ec65d2 [DB Tsai] remove new line f3f8c88 [DB Tsai] add more tests and they match R which is good. fix a bug 34705bc [DB Tsai] first commit
In SPARK-7429 and PR apache#5960, I added the varargs annotation to Params.setDefault which takes a variable number of ParamPairs. It worked locally and on Jenkins for me. However, mengxr reported issues compiling on his machine. So I'm reverting the change introduced in apache#5960 by removing varargs. Author: Joseph K. Bradley <[email protected]> Closes apache#6021 from jkbradley/revert-varargs and squashes the following commits: 098ed39 [Joseph K. Bradley] removed varargs annotation from Params.setDefaults taking multiple ParamPairs
…oxDistinct Author: Vinod K C <[email protected]> Closes apache#5974 from vinodkc/fix_countApproxDistinct_Validation and squashes the following commits: 3a3d59c [Vinod K C] Reverted removal of validation relativeSD<0.000017 799976e [Vinod K C] Removed testcase to assert IAE when relativeSD>3.7 8ddbfae [Vinod K C] Remove blank line b1b00a3 [Vinod K C] Removed relativeSD validation from python API,RDD.scala will do validation 122d378 [Vinod K C] Fixed validation of relativeSD in countApproxDistinct
… case of running on YARN When we use Spark on YARN and have AllJobPage via ResourceManager's proxy, the link URL in objects which represent each job on timeline view is wrong. In timeline-view.js, the link is generated as follows. ``` window.location.href = "job/?id=" + getJobId(this); ``` This assumes the URL displayed on the web browser ends with "jobs/" but when we access AllJobPage via the proxy, the url displayed does not end with "jobs/" The proxy doesn't return status code 301 or 302 so the url displayed still indicates the base url, not "/jobs" even though displaying AllJobPages.  Author: Kousuke Saruta <[email protected]> Closes apache#5947 from sarutak/fix-link-in-timeline and squashes the following commits: aaf40e1 [Kousuke Saruta] Added Copyright for vis.js 01bee7b [Kousuke Saruta] Fixed timeline-view.js in order to get correct href
A little fix about wrong url of the API document. (org.apache.spark.streaming.scheduler.StreamingListener) Author: dobashim <[email protected]> Closes apache#6024 from dobashim/master and squashes the following commits: ac9a955 [dobashim] [STREAMING][DOCS] Fix wrong url about API docs of StreamingListener
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…into a single batch. SQL ``` select * from tableA join tableB on (a > 3 and b = d) or (a > 3 and b = e) ``` Plan before modify ``` == Optimized Logical Plan == Project [a#293,b#294,c#295,d#296,e#297] Join Inner, Some(((a#293 > 3) && ((b#294 = d#296) || (b#294 = e#297)))) MetastoreRelation default, tablea, None MetastoreRelation default, tableb, None ``` Plan after modify ``` == Optimized Logical Plan == Project [a#293,b#294,c#295,d#296,e#297] Join Inner, Some(((b#294 = d#296) || (b#294 = e#297))) Filter (a#293 > 3) MetastoreRelation default, tablea, None MetastoreRelation default, tableb, None ``` CombineLimits ==> Limit(If(LessThan(ne, le), ne, le), grandChild) and LessThan is in BooleanSimplification , so CombineLimits must before BooleanSimplification and BooleanSimplification must before PushPredicateThroughJoin. Author: Zhongshuai Pei <[email protected]> Author: DoingDone9 <[email protected]> Closes apache#6351 from DoingDone9/master and squashes the following commits: 20de7be [Zhongshuai Pei] Update Optimizer.scala 7bc7d28 [Zhongshuai Pei] Merge pull request #17 from apache/master 0ba5f42 [Zhongshuai Pei] Update Optimizer.scala f8b9314 [Zhongshuai Pei] Update FilterPushdownSuite.scala c529d9f [Zhongshuai Pei] Update FilterPushdownSuite.scala ae3af6d [Zhongshuai Pei] Update FilterPushdownSuite.scala a04ffae [Zhongshuai Pei] Update Optimizer.scala 11beb61 [Zhongshuai Pei] Update FilterPushdownSuite.scala f2ee5fe [Zhongshuai Pei] Update Optimizer.scala be6b1d5 [Zhongshuai Pei] Update Optimizer.scala b01e622 [Zhongshuai Pei] Merge pull request #15 from apache/master 8df716a [Zhongshuai Pei] Update FilterPushdownSuite.scala d98bc35 [Zhongshuai Pei] Update FilterPushdownSuite.scala fa65718 [Zhongshuai Pei] Update Optimizer.scala ab8e9a6 [Zhongshuai Pei] Merge pull request #14 from apache/master 14952e2 [Zhongshuai Pei] Merge pull request #13 from apache/master f03fe7f [Zhongshuai Pei] Merge pull request #12 from apache/master f12fa50 [Zhongshuai Pei] Merge pull request #10 from apache/master f61210c [Zhongshuai Pei] Merge pull request #9 from apache/master 34b1a9a [Zhongshuai Pei] Merge pull request #8 from apache/master 802261c [DoingDone9] Merge pull request #7 from apache/master d00303b [DoingDone9] Merge pull request #6 from apache/master 98b134f [DoingDone9] Merge pull request #5 from apache/master 161cae3 [DoingDone9] Merge pull request #4 from apache/master c87e8b6 [DoingDone9] Merge pull request #3 from apache/master cb1852d [DoingDone9] Merge pull request #2 from apache/master c3f046f [DoingDone9] Merge pull request #1 from apache/master
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Can one of the admins verify this patch? |
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…onfig option.
## What changes were proposed in this pull request?
Currently, `OptimizeIn` optimizer replaces `In` expression into `InSet` expression if the size of set is greater than a constant, 10.
This issue aims to make a configuration `spark.sql.optimizer.inSetConversionThreshold` for that.
After this PR, `OptimizerIn` is configurable.
```scala
scala> sql("select a in (1,2,3) from (select explode(array(1,2)) a) T").explain()
== Physical Plan ==
WholeStageCodegen
: +- Project [a#7 IN (1,2,3) AS (a IN (1, 2, 3))#8]
: +- INPUT
+- Generate explode([1,2]), false, false, [a#7]
+- Scan OneRowRelation[]
scala> sqlContext.setConf("spark.sql.optimizer.inSetConversionThreshold", "2")
scala> sql("select a in (1,2,3) from (select explode(array(1,2)) a) T").explain()
== Physical Plan ==
WholeStageCodegen
: +- Project [a#16 INSET (1,2,3) AS (a IN (1, 2, 3))#17]
: +- INPUT
+- Generate explode([1,2]), false, false, [a#16]
+- Scan OneRowRelation[]
```
## How was this patch tested?
Pass the Jenkins tests (with a new testcase)
Author: Dongjoon Hyun <[email protected]>
Closes apache#12562 from dongjoon-hyun/SPARK-14796.
marmbrus
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…aggregations
## What changes were proposed in this pull request?
Partial aggregations are generated in `EnsureRequirements`, but the planner fails to
check if partial aggregation satisfies sort requirements.
For the following query:
```
val df2 = (0 to 1000).map(x => (x % 2, x.toString)).toDF("a", "b").createOrReplaceTempView("t2")
spark.sql("select max(b) from t2 group by a").explain(true)
```
Now, the SortAggregator won't insert Sort operator before partial aggregation, this will break sort-based partial aggregation.
```
== Physical Plan ==
SortAggregate(key=[a#5], functions=[max(b#6)], output=[max(b)#17])
+- *Sort [a#5 ASC], false, 0
+- Exchange hashpartitioning(a#5, 200)
+- SortAggregate(key=[a#5], functions=[partial_max(b#6)], output=[a#5, max#19])
+- LocalTableScan [a#5, b#6]
```
Actually, a correct plan is:
```
== Physical Plan ==
SortAggregate(key=[a#5], functions=[max(b#6)], output=[max(b)#17])
+- *Sort [a#5 ASC], false, 0
+- Exchange hashpartitioning(a#5, 200)
+- SortAggregate(key=[a#5], functions=[partial_max(b#6)], output=[a#5, max#19])
+- *Sort [a#5 ASC], false, 0
+- LocalTableScan [a#5, b#6]
```
## How was this patch tested?
Added tests in `PlannerSuite`.
Author: Takeshi YAMAMURO <[email protected]>
Closes apache#14865 from maropu/SPARK-17289.
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Parse the
CreateTableDescin HiveQl.@marmbrus sorry, I couldn't run unit test with this codebase, as it always say failed in downloading the jar files, I will figure out how to solve that (seems a proxy issue in within my corp network).
NOTICE: StorageHandler is not supported, since
HiveTabledoesn't support that yet.