Now spark version is only support ```SELECT -key FROM DECIMAL_UDF;``` in HiveContext.
This patch is used to support ```SELECT +key FROM DECIMAL_UDF;``` in HiveContext.
Author: q00251598 <qiyadong@huawei.com>
Closes#4378 from watermen/SPARK-5606 and squashes the following commits:
777f132 [q00251598] sql-case22
74dd368 [q00251598] sql-case22
1a67410 [q00251598] sql-case22
c5cd5bc [q00251598] sql-case22
There are no break changes (against 1.2) in this PR. I hide the PythonMLLibAPI, which is only called by Py4J, and renamed `SparseMatrix.diag` to `SparseMatrix.spdiag`. All other changes are documentation and annotations. The `Experimental` tag is removed from `ALS.setAlpha` and `Rating`. One issue not addressed in this PR is the `setCheckpointDir` in `LDA` (https://issues.apache.org/jira/browse/SPARK-5604).
CC: srowen jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#4377 from mengxr/SPARK-5599 and squashes the following commits:
17975dc [Xiangrui Meng] fix tests
4487f20 [Xiangrui Meng] remove experimental tag from each stat method because Statistics is experimental already
3cd969a [Xiangrui Meng] remove freeman (sorry~) from StreamLA public doc
55900f5 [Xiangrui Meng] make IR experimental and update its doc
9b8eed3 [Xiangrui Meng] graduate Rating and setAlpha in ALS
b854d28 [Xiangrui Meng] correct iid doc in RandomRDDs
27f5bdd [Xiangrui Meng] update linalg docs and some new method signatures
371721b [Xiangrui Meng] mark fpg as experimental and update its doc
8aca7ee [Xiangrui Meng] change SLR to experimental and update the doc
ebbb2e9 [Xiangrui Meng] mark PIC experimental and update the doc
7830d3b [Xiangrui Meng] mark GMM experimental
a378496 [Xiangrui Meng] use the correct subscript syntax in PIC
c65c424 [Xiangrui Meng] update LDAModel doc
a213b0c [Xiangrui Meng] update GMM constructor
3993054 [Xiangrui Meng] hide algorithm in SLR
ad6b9ce [Xiangrui Meng] Revert "make ClassificatinModel.predict(JavaRDD) return JavaDoubleRDD"
0054684 [Xiangrui Meng] add doc to LRModel's constructor
a89763b [Xiangrui Meng] make ClassificatinModel.predict(JavaRDD) return JavaDoubleRDD
7c0946c [Xiangrui Meng] hide PythonMLLibAPI
This is a PR for Parquet-based model import/export. Please see the design doc on [the JIRA](https://issues.apache.org/jira/browse/SPARK-4587).
Note: This includes only a subset of regression and classification models:
* NaiveBayes, SVM, LogisticRegression
* LinearRegression, RidgeRegression, Lasso
Follow-up PRs will cover other models.
Sketch of current contents:
* New traits: Saveable, Loader
* Implementations for some algorithms
* Also: Added LogisticRegressionModel.getThreshold method (so that unit test could check the threshold)
CC: mengxr selvinsource
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#4233 from jkbradley/ml-import-export and squashes the following commits:
87c4eb8 [Joseph K. Bradley] small cleanups
12d9059 [Joseph K. Bradley] Many cleanups after code review. Major changes: Storing numFeatures, numClasses in model metadata. Improvements to unit tests
b4ee064 [Joseph K. Bradley] Reorganized save/load for regression and classification. Renamed concepts to Saveable, Loader
a34aef5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into ml-import-export
ee99228 [Joseph K. Bradley] scala style fix
79675d5 [Joseph K. Bradley] cleanups in LogisticRegression after rebasing after multinomial PR
d1e5882 [Joseph K. Bradley] organized imports
2935963 [Joseph K. Bradley] Added save/load and tests for most classification and regression models
c495dba [Joseph K. Bradley] made version for model import/export local to each model
1496852 [Joseph K. Bradley] Added save/load for NaiveBayes
8d46386 [Joseph K. Bradley] Added save/load to NaiveBayes
1577d70 [Joseph K. Bradley] fixed issues after rebasing on master (DataFrame patch)
64914a3 [Joseph K. Bradley] added getThreshold to SVMModel
b1fc5ec [Joseph K. Bradley] small cleanups
418ba1b [Joseph K. Bradley] Added save, load to mllib.classification.LogisticRegressionModel, plus test suite
Our existing Kryo version actually embeds objenesis 1.2 classes in
its jar, causing dependency conflicts during tests. This updates us to
Kryo 2.24.0 (which was changed to not embed objenesis) to avoid this
behavior. See the JIRA for more detail.
Author: Patrick Wendell <patrick@databricks.com>
Closes#4383 from pwendell/SPARK-5607 and squashes the following commits:
c3b8d27 [Patrick Wendell] SPARK-5607: Update to Kryo 2.24.0 to avoid including objenesis 1.2.
1. Added methods to create DataFrames from Seq[Product]
2. Added executeTake to avoid running a Spark job on LocalRelations.
Author: Reynold Xin <rxin@databricks.com>
Closes#4372 from rxin/localDataFrame and squashes the following commits:
f696858 [Reynold Xin] style checker.
839ef7f [Reynold Xin] [SPARK-5602][SQL] Better support for creating DataFrame from local data collection.
Author: Reynold Xin <rxin@databricks.com>
Closes#4379 from rxin/CachedTableSuite and squashes the following commits:
f2b44ce [Reynold Xin] [SQL] Fix flaky CachedTableSuite.
1. Removed LocalHiveContext in Python.
2. Reduced DSL UDF support from 22 arguments to 10 arguments so JavaDoc/ScalaDoc look nicer.
Author: Reynold Xin <rxin@databricks.com>
Closes#4374 from rxin/df-style and squashes the following commits:
e493342 [Reynold Xin] [SQL][DataFrame] Minor cleanup.
...aised in SPARK-4520.
The exception is thrown only for a thrift generated parquet file. The array element schema name is assumed as "array" as per ParquetAvro but for thrift generated parquet files, it is array_name + "_tuple". This leads to missing child of array group type and hence when the parquet rows are being materialized leads to the exception.
Author: Sadhan Sood <sadhan@tellapart.com>
Closes#4148 from sadhan/SPARK-4520 and squashes the following commits:
c5ccde8 [Sadhan Sood] [SPARK-4520] [SQL] This pr fixes the ArrayIndexOutOfBoundsException as raised in SPARK-4520.
Author: Reynold Xin <rxin@databricks.com>
Closes#4376 from rxin/SPARK-5605 and squashes the following commits:
c55f5fa [Reynold Xin] Added a Python test.
f4b8dbb [Reynold Xin] [SPARK-5605][SQL][DF] Allow using String to specify colum name in DSL aggregate functions.
This patch introduces a new configuration option, `spark.extraListeners`, that allows SparkListeners to be specified in SparkConf and registered before the SparkContext is initialized. From the configuration documentation:
> A comma-separated list of classes that implement SparkListener; when initializing SparkContext, instances of these classes will be created and registered with Spark's listener bus. If a class has a single-argument constructor that accepts a SparkConf, that constructor will be called; otherwise, a zero-argument constructor will be called. If no valid constructor can be found, the SparkContext creation will fail with an exception.
This motivation for this patch is to allow monitoring code to be easily injected into existing Spark programs without having to modify those programs' code.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#4111 from JoshRosen/SPARK-5190-register-sparklistener-in-sc-constructor and squashes the following commits:
8370839 [Josh Rosen] Two minor fixes after merging with master
6e0122c [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-5190-register-sparklistener-in-sc-constructor
1a5b9a0 [Josh Rosen] Remove SPARK_EXTRA_LISTENERS environment variable.
2daff9b [Josh Rosen] Add a couple of explanatory comments for SPARK_EXTRA_LISTENERS.
b9973da [Josh Rosen] Add test to ensure that conf and env var settings are merged, not overriden.
d6f3113 [Josh Rosen] Use getConstructors() instead of try-catch to find right constructor.
d0d276d [Josh Rosen] Move code into setupAndStartListenerBus() method
b22b379 [Josh Rosen] Instantiate SparkListeners from classes listed in configurations.
9c0d8f1 [Josh Rosen] Revert "[SPARK-5190] Allow SparkListeners to be registered before SparkContext starts."
217ecc0 [Josh Rosen] Revert "Add addSparkListener to JavaSparkContext"
25988f3 [Josh Rosen] Add addSparkListener to JavaSparkContext
163ba19 [Josh Rosen] [SPARK-5190] Allow SparkListeners to be registered before SparkContext starts.
Author: guowei2 <guowei2@asiainfo.com>
Closes#3921 from guowei2/SPARK-5118 and squashes the following commits:
b1ba3be [guowei2] add table file check in test case
9da56f8 [guowei2] test case only run in Shim13
112a0b6 [guowei2] add test case
187c7d8 [guowei2] Fix: create table test stored as parquet as select ..
`client.getDatabaseCurrent` uses SessionState's local variable which can be an issue.
Author: Yin Huai <yhuai@databricks.com>
Closes#4355 from yhuai/defaultTablePath and squashes the following commits:
84a29e5 [Yin Huai] Use HiveContext's sessionState instead of using SessionState's thread local variable.
Author: Yin Huai <yhuai@databricks.com>
Closes#4314 from yhuai/minor and squashes the following commits:
d3870a7 [Yin Huai] Update test.
6e4b0c0 [Yin Huai] Two minor changes.
Add `import org.apache.spark.sql.Dsl._` to make DSL query works.
Since queryExecution is not avaliable in DataFrame, so remove it.
Author: OopsOutOfMemory <victorshengli@126.com>
Author: Sheng, Li <OopsOutOfMemory@users.noreply.github.com>
Closes#4330 from OopsOutOfMemory/hiveconsole and squashes the following commits:
46eb790 [Sheng, Li] Update SparkBuild.scala
d23ee9f [OopsOutOfMemory] minor
d4dd593 [OopsOutOfMemory] refine hive console
A follow up for #4163: support `select array(key, *) from src`
Since array(key, *) will not go into this case
```
case Alias(f UnresolvedFunction(_, args), name) if containsStar(args) =>
val expandedArgs = args.flatMap {
case s: Star => s.expand(child.output, resolver)
case o => o :: Nil
}
```
here added a case to cover the corner case of array.
/cc liancheng
Author: wangfei <wangfei1@huawei.com>
Author: scwf <wangfei1@huawei.com>
Closes#4353 from scwf/udf-star1 and squashes the following commits:
4350d17 [wangfei] minor fix
a7cd191 [wangfei] minor fix
0942fb1 [wangfei] follow up: support select array(key, *) from src
6ae00db [wangfei] also fix problem with array
da1da09 [scwf] minor fix
f87b5f9 [scwf] added test case
587bf7e [wangfei] compile fix
eb93c16 [wangfei] fix star resolve issue in udf
Right now the PR adds few helper methods for java apis. But the issue was opened mainly to get rid of transformations in java api like `.rdd` and `.toJavaRDD` while working with `SQLContext` or `HiveContext`.
Author: kul <kuldeep.bora@gmail.com>
Closes#4243 from kul/master and squashes the following commits:
2390fba [kul] [SPARK-5426][SQL] Add SparkSQL Java API helper methods.
Support change database owner, here i do not add the golden files since the golden answer is related to the tmp dir path (see 6331e4ac0f)
Author: wangfei <wangfei1@huawei.com>
Closes#4357 from scwf/db_owner and squashes the following commits:
f761533 [wangfei] remove the alter_db_owner which have added to whitelist
79413c6 [wangfei] Revert "added golden files"
6331e4a [wangfei] added golden files
6f7cacd [wangfei] support change database owner
Now CTAS runs successfully but will throw a NoSuchObjectException.
```
create table sc as select *
from (select '2011-01-11', '2011-01-11+14:18:26' from src tablesample (1 rows)
union all
select '2011-01-11', '2011-01-11+15:18:26' from src tablesample (1 rows)
union all
select '2011-01-11', '2011-01-11+16:18:26' from src tablesample (1 rows) ) s;
```
Get this exception:
ERROR Hive: NoSuchObjectException(message:default.sc table not found)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_table(HiveMetaStore.java:1560)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:105)
at $Proxy8.get_table(Unknown Source)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.getTable(HiveMetaStoreClient.java:997)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:89)
at $Proxy9.getTable(Unknown Source)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:976)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:950)
at org.apache.spark.sql.hive.HiveMetastoreCatalog.tableExists(HiveMetastoreCatalog.scala:152)
at org.apache.spark.sql.hive.HiveContext$$anon$2.org$apache$spark$sql$catalyst$analysis$OverrideCatalog$$super$tableExists(HiveContext.scala:309)
at org.apache.spark.sql.catalyst.analysis.OverrideCatalog$class.tableExists(Catalog.scala:121)
at org.apache.spark.sql.hive.HiveContext$$anon$2.tableExists(HiveContext.scala:309)
at org.apache.spark.sql.hive.execution.CreateTableAsSelect.run(CreateTableAsSelect.scala:63)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:53)
Author: wangfei <wangfei1@huawei.com>
Closes#4365 from scwf/ctas-exception and squashes the following commits:
c7c67bc [wangfei] no used imports
f54eb2a [wangfei] fix exception for CTAS
Currently, if there are different locality in a task set, the tasks with NODE_LOCAL only get scheduled after all the PROCESS_LOCAL tasks are scheduled and timeout with spark.locality.wait.process (3 seconds by default). In local mode, the LocalScheduler will never call resourceOffer() again once it failed to get a task with same locality, then all the NODE_LOCAL tasks will be never scheduled.
This bug could be reproduced by run example python/streaming/stateful_network_wordcount.py, it will hang after finished a batch with some data.
This patch will check whether there is task for current locality level, if not, it will change to next locality level without waiting for `spark.locality.wait.process` seconds. It works for all locality levels.
Because the list of pending tasks are updated lazily, the check can be false-positive, it means it will not move to next locality level even there is no valid pending tasks, it will wait for timeout.
Author: Davies Liu <davies@databricks.com>
Closes#3779 from davies/local_streaming and squashes the following commits:
2d25fb3 [Davies Liu] Update TaskSetManager.scala
1550668 [Davies Liu] add comment
1c37aac [Davies Liu] address comments
6b13824 [Davies Liu] address comments
906f456 [Davies Liu] Merge branch 'master' of github.com:apache/spark into local_streaming
414e79e [Davies Liu] fix bug, add logging
ff8eabb [Davies Liu] Merge branch 'master' into local_streaming
28d1b3c [Davies Liu] check tasks
9d0ceab [Davies Liu] Merge branch 'master' of github.com:apache/spark into local_streaming
37a2804 [Davies Liu] fix tests
49bda82 [Davies Liu] address comment
d8fb95a [Davies Liu] move to next locality level if no more tasks
2d6ae73 [Davies Liu] add comments
32d363f [Davies Liu] add regression test
7d8c5a5 [Davies Liu] jump to next locality if no pending tasks for executors
...ck generator fails to store data.
The Reliable Kafka Receiver commits offsets only when events are actually stored, which ensures that on restart we will actually start where we left off. But if the failure happens in the store() call, and the block generator reports an error the receiver does not do anything and will continue reading from the current offset and not the last commit. This means that messages between the last commit and the current offset will be lost.
This PR retries the store call four times and then stops the receiver with an error message and the last exception that was received from the store.
Author: Hari Shreedharan <hshreedharan@apache.org>
Closes#3655 from harishreedharan/kafka-failure-fix and squashes the following commits:
5e2e7ad [Hari Shreedharan] [SPARK-4704][STREAMING] Reliable Kafka Receiver can lose data if the block generator fails to store data.
Author: cody koeninger <cody@koeninger.org>
Closes#3798 from koeninger/kafkaRdd and squashes the following commits:
1dc2941 [cody koeninger] [SPARK-4964] silence ConsumerConfig warnings about broker connection props
59e29f6 [cody koeninger] [SPARK-4964] settle on "Direct" as a naming convention for the new stream
8c31855 [cody koeninger] [SPARK-4964] remove HasOffsetRanges interface from return types
0df3ebe [cody koeninger] [SPARK-4964] add comments per pwendell / dibbhatt
8991017 [cody koeninger] [SPARK-4964] formatting
825110f [cody koeninger] [SPARK-4964] rename stuff per TD
4354bce [cody koeninger] [SPARK-4964] per td, remove java interfaces, replace with final classes, corresponding changes to KafkaRDD constructor and checkpointing
9adaa0a [cody koeninger] [SPARK-4964] formatting
0090553 [cody koeninger] [SPARK-4964] javafication of interfaces
9a838c2 [cody koeninger] [SPARK-4964] code cleanup, add more tests
2b340d8 [cody koeninger] [SPARK-4964] refactor per TD feedback
80fd6ae [cody koeninger] [SPARK-4964] Rename createExactlyOnceStream so it isnt over-promising, change doc
99d2eba [cody koeninger] [SPARK-4964] Reduce level of nesting. If beginning is past end, its actually an error (may happen if Kafka topic was deleted and recreated)
19406cc [cody koeninger] Merge branch 'master' of https://github.com/apache/spark into kafkaRdd
2e67117 [cody koeninger] [SPARK-4964] one potential way of hiding most of the implementation, while still allowing access to offsets (but not subclassing)
bb80bbe [cody koeninger] [SPARK-4964] scalastyle line length
d4a7cf7 [cody koeninger] [SPARK-4964] allow for use cases that need to override compute for custom kafka dstreams
c1bd6d9 [cody koeninger] [SPARK-4964] use newly available attemptNumber for correct retry behavior
548d529 [cody koeninger] Merge branch 'master' of https://github.com/apache/spark into kafkaRdd
0458e4e [cody koeninger] [SPARK-4964] recovery of generated rdds from checkpoint
e86317b [cody koeninger] [SPARK-4964] try seed brokers in random order to spread metadata requests
e93eb72 [cody koeninger] [SPARK-4964] refactor to add preferredLocations. depends on SPARK-4014
356c7cc [cody koeninger] [SPARK-4964] code cleanup per helena
adf99a6 [cody koeninger] [SPARK-4964] fix serialization issues for checkpointing
1d50749 [cody koeninger] [SPARK-4964] code cleanup per tdas
8bfd6c0 [cody koeninger] [SPARK-4964] configure rate limiting via spark.streaming.receiver.maxRate
e09045b [cody koeninger] [SPARK-4964] add foreachPartitionWithIndex, to avoid doing equivalent map + empty foreach boilerplate
cac63ee [cody koeninger] additional testing, fix fencepost error
37d3053 [cody koeninger] make KafkaRDDPartition available to users so offsets can be committed per partition
bcca8a4 [cody koeninger] Merge branch 'master' of https://github.com/apache/spark into kafkaRdd
6bf14f2 [cody koeninger] first attempt at a Kafka dstream that allows for exactly-once semantics
326ff3c [cody koeninger] add some tests
38bb727 [cody koeninger] give easy access to the parameters of a KafkaRDD
979da25 [cody koeninger] dont allow empty leader offsets to be returned
8d7de4a [cody koeninger] make sure leader offsets can be found even for leaders that arent in the seed brokers
4b078bf [cody koeninger] differentiate between leader and consumer offsets in error message
3c2a96a [cody koeninger] fix scalastyle errors
29c6b43 [cody koeninger] cleanup logging
783b477 [cody koeninger] update tests for kafka 8.1.1
7d050bc [cody koeninger] methods to set consumer offsets and get topic metadata, switch back to inclusive start / exclusive end to match typical kafka consumer behavior
ce91c59 [cody koeninger] method to get consumer offsets, explicit error handling
4dafd1b [cody koeninger] method to get leader offsets, switch rdd bound to being exclusive start, inclusive end to match offsets typically returned from cluster
0b94b33 [cody koeninger] use dropWhile rather than filter to trim beginning of fetch response
1d70625 [cody koeninger] WIP on kafka cluster
76913e2 [cody koeninger] Batch oriented kafka rdd, WIP. todo: cluster metadata / finding leader
Add a seed for tests.
Author: Davies Liu <davies@databricks.com>
Closes#4358 from davies/flaky_test and squashes the following commits:
02371c3 [Davies Liu] Merge branch 'master' of github.com:apache/spark into flaky_test
ced499b [Davies Liu] add seed for test
https://issues.apache.org/jira/browse/SPARK-5574
very minor, doesn't effect external behavior at all.
Note that after this change, some of these dirs no longer will have "spark" in the name at all. I could change those locations that do pass in a name prefix to also include "spark", eg. "blockmgr" -> "spark-blockmgr"
Author: Imran Rashid <irashid@cloudera.com>
Closes#4344 from squito/SPARK-5574 and squashes the following commits:
33a84fe [Imran Rashid] use given name prefix in dir
The warning log looks incorrect. Just fix it.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#4360 from viirya/fixing_typo and squashes the following commits:
48fbe4f [Liang-Chi Hsieh] Fix incorrect warning log.
Added `awaitTerminationOrTimeout` to return if the waiting time elapsed:
* `true` if it's stopped.
* `false` if the waiting time elapsed before returning from the method.
* throw the reported error if it's thrown during the execution.
Also deprecated `awaitTermination(timeout: Long)`.
Author: zsxwing <zsxwing@gmail.com>
Closes#4171 from zsxwing/SPARK-5379 and squashes the following commits:
c9e660b [zsxwing] Add a unit test for awaitTerminationOrTimeout
8a89f92 [zsxwing] Add awaitTerminationOrTimeout to python
cdc820b [zsxwing] Add awaitTerminationOrTimeout
This PR adds support for using maven coordinates as dependencies to spark-shell.
Coordinates can be provided as a comma-delimited string after the flag `--packages`.
Additional remote repositories (like SonaType) can be supplied as a comma-delimited string after the flag
`--repositories`.
Uses the Ivy library to resolve dependencies. Unfortunately the library has no decent documentation, therefore solving more complex dependency issues can be a problem.
pwendell, mateiz, mengxr
**Note: This is still a WIP. The following need to be handled:**
- [x] add docs for the methods
- [x] take local ivy cache path as an argument
- [x] add tests
- [x] add Windows compatibility
- [x] exclude unused Ivy dependencies
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#4215 from brkyvz/SPARK-5341ivy and squashes the following commits:
9215851 [Burak Yavuz] ready to merge
db2a5cc [Burak Yavuz] changed logging to printStream
9dae87f [Burak Yavuz] file separators changed
71c374d [Burak Yavuz] merge conflicts fixed
c08dc9f [Burak Yavuz] fixed merge conflicts
3ada19a [Burak Yavuz] fixed Jenkins error (hopefully) and added comment on oro
43c2290 [Burak Yavuz] fixed that ONE line
231f72f [Burak Yavuz] addressed code review
2cd6562 [Burak Yavuz] Merge branch 'master' of github.com:apache/spark into SPARK-5341ivy
85ec5a3 [Burak Yavuz] added oro as a dependency explicitly
ea44ca4 [Burak Yavuz] add oro back to dependencies
cef0e24 [Burak Yavuz] IntelliJ is just messing things up
97c4a92 [Burak Yavuz] fix more weird IntelliJ formatting
9cf077d [Burak Yavuz] fix weird IntelliJ formatting
dcf5e13 [Burak Yavuz] fix windows command line flags
3a23f21 [Burak Yavuz] excluded ivy dependencies
53423e0 [Burak Yavuz] tests added
3705907 [Burak Yavuz] remove ivy-repo as a command line argument. Use global ivy cache as default
c04d885 [Burak Yavuz] take path to ivy cache as a conf
2edc9b5 [Burak Yavuz] managed to exclude Spark and it's dependencies
a0870af [Burak Yavuz] add docs. remove unnecesary new lines
6645af4 [Burak Yavuz] [SPARK-5341] added base implementation
882c4c8 [Burak Yavuz] added maven dependency download
The locality timeout assume that the SchedulerBackend can revive offers periodically, but currently LocalBackend did do that, then some job with mixed locality levels in local mode will hang forever.
This PR let LocalBackend revive offers periodically, just like in cluster mode.
Author: Davies Liu <davies@databricks.com>
Closes#4147 from davies/revive and squashes the following commits:
2acdf9d [Davies Liu] Update LocalBackend.scala
3c8ca7c [Davies Liu] Update LocalBackend.scala
d1b60d2 [Davies Liu] address comments from Kay
33ac9bb [Davies Liu] fix build
d0da0d5 [Davies Liu] Merge branch 'master' of github.com:apache/spark into revive
6cf5972 [Davies Liu] fix thread-safety
ed62a31 [Davies Liu] fix scala style
df9008b [Davies Liu] fix typo
bfc1396 [Davies Liu] revive offers periodically in LocalBackend
In Spark 1.2 we added a `binaryRecords` input method for loading flat binary data. This format is useful for numerical array data, e.g. in scientific computing applications. This PR adds support for the same format in Streaming applications, where it is similarly useful, especially for streaming time series or sensor data.
Summary of additions
- adding `binaryRecordsStream` to Spark Streaming
- exposing `binaryRecordsStream` in the new PySpark Streaming
- new unit tests in Scala and Python
This required adding an optional Hadoop configuration param to `fileStream` and `FileInputStream`, but was otherwise straightforward.
tdas davies
Author: freeman <the.freeman.lab@gmail.com>
Closes#3803 from freeman-lab/streaming-binary-records and squashes the following commits:
b676534 [freeman] Clarify note
5ff1b75 [freeman] Add note to java streaming context
eba925c [freeman] Simplify notes
c4237b8 [freeman] Add experimental tag
30eba67 [freeman] Add filter and newFilesOnly alongside conf
c2cfa6d [freeman] Expose new version of fileStream with conf in java
34d20ef [freeman] Add experimental tag
14bca9a [freeman] Add experimental tag
b85bffc [freeman] Formatting
47560f4 [freeman] Space formatting
9a3715a [freeman] Refactor to reflect changes to FileInputSuite
7373f73 [freeman] Add note and defensive assertion for byte length
3ceb684 [freeman] Merge remote-tracking branch 'upstream/master' into streaming-binary-records
317b6d1 [freeman] Make test inline
fcb915c [freeman] Formatting
becb344 [freeman] Formatting
d3e75b2 [freeman] Add tests in python
a4324a3 [freeman] Line length
029d49c [freeman] Formatting
1c739aa [freeman] Simpler default arg handling
94d90d0 [freeman] Spelling
2843e9d [freeman] Add params to docstring
8b70fbc [freeman] Reorganization
28bff9b [freeman] Fix missing arg
9398bcb [freeman] Expose optional hadoop configuration
23dd69f [freeman] Tests for binaryRecordsStream
36cb0fd [freeman] Add binaryRecordsStream to scala
fe4e803 [freeman] Add binaryRecordStream to Java API
ecef0eb [freeman] Add binaryRecordsStream to python
8550c26 [freeman] Expose additional argument combination
```scala
df.selectExpr("abs(colA)", "colB")
df.filter("age > 21")
```
Author: Reynold Xin <rxin@databricks.com>
Closes#4348 from rxin/SPARK-5579 and squashes the following commits:
2baeef2 [Reynold Xin] Fix Python.
b416372 [Reynold Xin] [SPARK-5579][SQL][DataFrame] Support for project/filter using SQL expressions.
If `seed` is `None` on the python side, it will pass in as a `null`. So we should use `java.lang.Long` instead of `Long` to take it.
Author: Xiangrui Meng <meng@databricks.com>
Closes#4349 from mengxr/gmm-fix and squashes the following commits:
3be5926 [Xiangrui Meng] fix seed handling in Python GMM
Try to redesign the "primitive type => Writable" implicit APIs to make them be activated automatically and without breaking binary compatibility.
However, this PR will breaking the source compatibility if people use `xxxToXxxWritable` occasionally. See the unit test in `graphx`.
Author: zsxwing <zsxwing@gmail.com>
Closes#3642 from zsxwing/SPARK-4795 and squashes the following commits:
914b2d6 [zsxwing] Add implicit back to the Writables methods
0b9017f [zsxwing] Add some docs
a0e8509 [zsxwing] Merge branch 'master' into SPARK-4795
39343de [zsxwing] Fix the unit test
64853af [zsxwing] Reorganize the rest 'implicit' methods in SparkContext
Make FPGrowth.run API take generic item types:
`def run[Item: ClassTag, Basket <: Iterable[Item]](data: RDD[Basket]): FPGrowthModel[Item]`
so that user can invoke it by run[String, Seq[String]], run[Int, Seq[Int]], run[Int, List[Int]], etc.
Scala part is done, while java part is still in progress
Author: Jacky Li <jacky.likun@huawei.com>
Author: Jacky Li <jackylk@users.noreply.github.com>
Author: Xiangrui Meng <meng@databricks.com>
Closes#4340 from jackylk/SPARK-5520-WIP and squashes the following commits:
f5acf84 [Jacky Li] Merge pull request #2 from mengxr/SPARK-5520
63073d0 [Xiangrui Meng] update to make generic FPGrowth Java-friendly
737d8bb [Jacky Li] fix scalastyle
793f85c [Jacky Li] add Java test case
7783351 [Jacky Li] add generic support in FPGrowth
A slow receiver might not have enough time to shutdown cleanly even when graceful shutdown is used. This PR extends graceful waiting to make sure all receivers have deregistered and that the receiver job has terminated.
Author: Jesper Lundgren <jesper.lundgren@vpon.com>
Closes#4338 from cleaton/stopreceivers and squashes the following commits:
a9cf223 [Jesper Lundgren] remove cleaner.ttl config
f969b6e [Jesper Lundgren] fix inversed logic in unit test
3d0bd35 [Jesper Lundgren] switch boleans to match running status instead of terminated
9a9ff88 [Jesper Lundgren] wait for receivers to shutdown and receiver job to terminate
d179372 [Jesper Lundgren] Add graceful shutdown unit test covering slow receiver onStop
Timeout increased to allow overloaded Jenkins to cope with delay in topic creation.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#4342 from tdas/SPARK-5153 and squashes the following commits:
dc42762 [Tathagata Das] Increased timeout to deal with delays in overloaded Jenkins.
The previous #3732 is reverted due to some test failure.
Have fixed that.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#4325 from adrian-wang/datenative and squashes the following commits:
096e20d [Daoyuan Wang] fix for mixed timezone
0ed0fdc [Daoyuan Wang] fix test data
a2fdd4e [Daoyuan Wang] getDate
c37832b [Daoyuan Wang] row to catalyst
f0005b1 [Daoyuan Wang] add date in sql parser and java type conversion
024c9a6 [Daoyuan Wang] clean some import order
d6715fc [Daoyuan Wang] refactoring Date as Primitive Int internally
374abd5 [Daoyuan Wang] spark native date type support
Add support for alias of udtfs, such as
```
select stack(2, key, value, key, value) as (a, b) from src limit 5;
select a, b from (select stack(2, key, value, key, value) as (a, b) from src) t limit 5
```
Author: wangfei <wangfei1@huawei.com>
Author: scwf <wangfei1@huawei.com>
Author: Fei Wang <wangfei1@huawei.com>
Closes#4186 from scwf/multi-alias-names and squashes the following commits:
c35e922 [wangfei] fix conflicts
adc8311 [wangfei] minor format fix
2783aed [wangfei] convert it to a Generate instead of leaving it inside of a Project clause
a87668a [wangfei] minor improvement
b25d9b3 [wangfei] resolve conflicts
d38f041 [wangfei] style fix
8cfcebf [wangfei] minor improvement
12a239e [wangfei] fix test case
050177f [wangfei] added extendedCheckRules
3d69329 [wangfei] added CheckMultiAlias to analyzer
324150d [wangfei] added multi alias node
74f5a81 [Fei Wang] imports order fix
5bc3f59 [scwf] style fix
3daec28 [scwf] support alias for udfs with multi output columns
SQL in HiveContext, should be case insensitive, however, the following query will fail.
```scala
udf.register("random0", () => { Math.random()})
assert(sql("SELECT RANDOM0() FROM src LIMIT 1").head().getDouble(0) >= 0.0)
```
Author: Cheng Hao <hao.cheng@intel.com>
Closes#4326 from chenghao-intel/udf_case_sensitive and squashes the following commits:
485cf66 [Cheng Hao] Support the case insensitive for UDF
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#3820 from adrian-wang/parquettimestamp and squashes the following commits:
b1e2a0d [Daoyuan Wang] fix for nanos
4dadef1 [Daoyuan Wang] fix wrong read
93f438d [Daoyuan Wang] parquet timestamp support
1. Added Java-friendly version of the expression operators (i.e. gt, geq)
2. Added JavaDoc for most operators
3. Simplified expression operators by having only one version of the function (that accepts Any). Previously we had two methods for each expression operator, one accepting Any and another accepting Column.
4. agg function now accepts varargs of (String, String).
Author: Reynold Xin <rxin@databricks.com>
Closes#4332 from rxin/df-update and squashes the following commits:
ab0aa69 [Reynold Xin] Added Java friendly expression methods. Added JavaDoc. For each expression operator, have only one version of the function (that accepts Any). Previously we had two methods for each expression operator, one accepting Any and another accepting Column.
576d07a [Reynold Xin] random commit.
Made a mistake in https://github.com/apache/spark/pull/4324
Author: Reynold Xin <rxin@databricks.com>
Closes#4333 from rxin/taskcontext-deprecate and squashes the following commits:
61c44ee [Reynold Xin] Minor: Fix TaskContext deprecated annotations.
So the interface documentation shows up in ScalaDoc.
Author: Reynold Xin <rxin@databricks.com>
Closes#4324 from rxin/TaskContext-scala and squashes the following commits:
2480a17 [Reynold Xin] comment
573756f [Reynold Xin] style fixes and javadoc fixes.
87dd537 [Reynold Xin] [SPARK-5549] Define TaskContext interface in Scala.
Author: Reynold Xin <rxin@databricks.com>
Closes#4327 from rxin/schemarddTypeAlias and squashes the following commits:
e5a8ff3 [Reynold Xin] [SPARK-5551][SQL] Create type alias for SchemaRDD for source backward compatibility
They were there mostly for code review and easier check of the API. I don't think they need to be there anymore.
Author: Reynold Xin <rxin@databricks.com>
Closes#4328 from rxin/remove-df-api and squashes the following commits:
723d600 [Reynold Xin] [SQL][DataFrame] Remove DataFrameApi and ColumnApi.
Author: Xiangrui Meng <meng@databricks.com>
Closes#4329 from mengxr/streaming-lr and squashes the following commits:
78731e1 [Xiangrui Meng] update streaming linear algorithms
