Author: Josh Rosen <joshrosen@databricks.com>
Closes#3719 from JoshRosen/rat-fix and squashes the following commits:
1542886 [Josh Rosen] [HOTFIX] Fix RAT exclusion for known_translations file
Using lowercase for ```options``` key to make it case-insensitive, then we should use lower case to get value from parameters.
So flowing cmd work
```
create temporary table normal_parquet
USING org.apache.spark.sql.parquet
OPTIONS (
PATH '/xxx/data'
)
```
Author: scwf <wangfei1@huawei.com>
Author: wangfei <wangfei1@huawei.com>
Closes#3470 from scwf/ddl-ulcase and squashes the following commits:
ae78509 [scwf] address comments
8f4f585 [wangfei] address comments
3c132ef [scwf] minor fix
a0fc20b [scwf] Merge branch 'master' of https://github.com/apache/spark into ddl-ulcase
4f86401 [scwf] adding CaseInsensitiveMap
e244e8d [wangfei] using lower case in json
e0cb017 [wangfei] make options in-casesensitive
This PR brings support of using StructType(and other hashable types) as key in MapType.
Author: Davies Liu <davies@databricks.com>
Closes#3714 from davies/fix_struct_in_map and squashes the following commits:
68585d7 [Davies Liu] fix primitive types in MapType
9601534 [Davies Liu] support StructType as key in MapType
Author: Cheng Hao <hao.cheng@intel.com>
Closes#3595 from chenghao-intel/udf0 and squashes the following commits:
a858973 [Cheng Hao] Add 0 arguments support for udf
This is a follow-up of SPARK-4593 (#3443).
Author: Takuya UESHIN <ueshin@happy-camper.st>
Closes#3581 from ueshin/issues/SPARK-4720 and squashes the following commits:
c3959d4 [Takuya UESHIN] Make Remainder return null if the divider is 0.
Author: Cheng Hao <hao.cheng@intel.com>
Closes#3606 from chenghao-intel/codegen_short_circuit and squashes the following commits:
f466303 [Cheng Hao] short circuit for AND & OR
This PR provides a set Parquet testing API (see trait `ParquetTest`) that enables developers to write more concise test cases. A new set of Parquet test suites built upon this API are added and aim to replace the old `ParquetQuerySuite`. To avoid potential merge conflicts, old testing code are not removed yet. The following classes can be safely removed after most Parquet related PRs are handled:
- `ParquetQuerySuite`
- `ParquetTestData`
<!-- Reviewable:start -->
[<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3644)
<!-- Reviewable:end -->
Author: Cheng Lian <lian@databricks.com>
Closes#3644 from liancheng/parquet-tests and squashes the following commits:
800e745 [Cheng Lian] Enforces ordering of test output
3bb8731 [Cheng Lian] Refactors HiveParquetSuite
aa2cb2e [Cheng Lian] Decouples ParquetTest and TestSQLContext
7b43a68 [Cheng Lian] Updates ParquetTest Scaladoc
7f07af0 [Cheng Lian] Adds a new set of Parquet test suites
This bypasses unnecessary calls to the Github and JIRA API.
Additionally, having a local cache allows us to remember names
that we had to manually discover ourselves.
This commit introduces several major improvements to the script
that generates the contributors list for release notes, notably:
(1) Use release tags instead of a range of commits. Across branches,
commits are not actually strictly two-dimensional, and so it is not
sufficient to specify a start hash and an end hash. Otherwise, we
end up counting commits that were already merged in an older branch.
(2) Match PR numbers in addition to commit hashes. This is related
to the first point in that if a PR is already merged in an older
minor release tag, it should be filtered out here. This requires us
to do some intelligent regex parsing on the commit description in
addition to just relying on the GitHub API.
(3) Relax author validity check. The old code fails on a name that
has many middle names, for instance. The test was just too strict.
(4) Use GitHub authentication. This allows us to make far more
requests through the GitHub API than before (5000 as opposed to 60
per hour).
(5) Translate from Github username, not commit author name. This is
important because the commit author name is not always configured
correctly by the user. For instance, the username "falaki" used to
resolve to just "Hossein", which was treated as a github username
and translated to something else that is completely arbitrary.
(6) Add an option to use the untranslated name. If there is not
a satisfactory candidate to replace the untranslated name with,
at least allow the user to not translate it.
In BroadcastHashJoin, currently it is using a hard coded value (5 minutes) to wait for the execution and broadcast of the small table.
In my opinion, it should be a configurable value since broadcast may exceed 5 minutes in some case, like in a busy/congested network environment.
Author: Jacky Li <jacky.likun@huawei.com>
Closes#3133 from jackylk/timeout-config and squashes the following commits:
733ac08 [Jacky Li] add spark.sql.broadcastTimeout in SQLConf.scala
557acd4 [Jacky Li] switch to sqlContext.getConf
81a5e20 [Jacky Li] make wait time configurable in BroadcastHashJoin
Since `AttributeReference` resolution and `*` expansion are currently in separate rules, each pair requires a full iteration instead of being able to resolve in a single pass. Since its pretty easy to construct queries that have many of these in a row, I combine them into a single rule in this PR.
Author: Michael Armbrust <michael@databricks.com>
Closes#3674 from marmbrus/projectStars and squashes the following commits:
d83d6a1 [Michael Armbrust] Fix resolution of deeply nested Project(attr, Project(Star,...)).
In `HashOuterJoin.scala`, spark read data from both side of join operation before zip them together. It is a waste for memory. We are trying to read data from only one side, put them into a hashmap, and then generate the `JoinedRow` with data from other side one by one.
Currently, we could only do this optimization for `left outer join` and `right outer join`. For `full outer join`, we will do something in another issue.
for
table test_csv contains 1 million records
table dim_csv contains 10 thousand records
SQL:
`select * from test_csv a left outer join dim_csv b on a.key = b.key`
the result is:
master:
```
CSV: 12671 ms
CSV: 9021 ms
CSV: 9200 ms
Current Mem Usage:787788984
```
after patch：
```
CSV: 10382 ms
CSV: 7543 ms
CSV: 7469 ms
Current Mem Usage:208145728
```
Author: tianyi <tianyi@asiainfo-linkage.com>
Author: tianyi <tianyi.asiainfo@gmail.com>
Closes#3375 from tianyi/SPARK-4483 and squashes the following commits:
72a8aec [tianyi] avoid having mutable state stored inside of the task
99c5c97 [tianyi] performance optimization
d2f94d7 [tianyi] fix bug: missing output when the join-key is null.
2be45d1 [tianyi] fix spell bug
1f2c6f1 [tianyi] remove commented codes
a676de6 [tianyi] optimize some codes
9e7d5b5 [tianyi] remove commented old codes
838707d [tianyi] Optimization about reduce memory costs during the HashOuterJoin
Placement groups are cool and all the cool kids are using them. Lets add support for them to spark_ec2.py because I'm lazy
Author: Holden Karau <holden@pigscanfly.ca>
Closes#3623 from holdenk/SPARK-4767-add-support-for-launching-in-a-specified-placement-group-to-spark-ec2-scripts and squashes the following commits:
111a5fd [Holden Karau] merge in master
70ace25 [Holden Karau] Placement groups are cool and all the cool kids are using them. Lets add support for them to spark_ec2.py because I'm lazy
The problem is `codegenEnabled` is `val`, but it uses a `val` `sqlContext`, which can be override by subclasses. Here is a simple example to show this issue.
```Scala
scala> :paste
// Entering paste mode (ctrl-D to finish)
abstract class Foo {
protected val sqlContext = "Foo"
val codegenEnabled: Boolean = {
println(sqlContext) // it will call subclass's `sqlContext` which has not yet been initialized.
if (sqlContext != null) {
true
} else {
false
}
}
}
class Bar extends Foo {
override val sqlContext = "Bar"
}
println(new Bar().codegenEnabled)
// Exiting paste mode, now interpreting.
null
false
defined class Foo
defined class Bar
```
We should make `sqlContext` `final` to prevent subclasses from overriding it incorrectly.
Author: zsxwing <zsxwing@gmail.com>
Closes#3660 from zsxwing/SPARK-4812 and squashes the following commits:
1cbb623 [zsxwing] Make `sqlContext` final to prevent subclasses from overriding it incorrectly
Author: jerryshao <saisai.shao@intel.com>
Closes#3698 from jerryshao/SPARK-4847 and squashes the following commits:
4741130 [jerryshao] Make later added extraStrategies effect when calling strategies
* This commit hopes to avoid the confusion I faced when trying
to submit a regular, valid multi-line JSON file, also see
http://apache-spark-user-list.1001560.n3.nabble.com/Loading-JSON-Dataset-fails-with-com-fasterxml-jackson-databind-JsonMappingException-td20041.html
Author: Peter Vandenabeele <peter@vandenabeele.com>
Closes#3517 from petervandenabeele/pv-docs-note-on-jsonFile-format/01 and squashes the following commits:
1f98e52 [Peter Vandenabeele] Revert to people.json and simple Note text
6b6e062 [Peter Vandenabeele] Change the "JSON" connotation to "txt"
fca7dfb [Peter Vandenabeele] Add a Note on jsonFile having separate JSON objects per line
Add HTTP protocol support and test cases to spark thrift server, so users can deploy thrift server in both TCP and http mode.
Author: Judy Nash <judynash@microsoft.com>
Author: judynash <judynash@microsoft.com>
Closes#3672 from judynash/master and squashes the following commits:
526315d [Judy Nash] correct spacing on startThriftServer method
31a6520 [Judy Nash] fix code style issues and update sql programming guide format issue
47bf87e [Judy Nash] modify withJdbcStatement method definition to meet less than 100 line length
2e9c11c [Judy Nash] add thrift server in http mode documentation on sql programming guide
1cbd305 [Judy Nash] Merge remote-tracking branch 'upstream/master'
2b1d312 [Judy Nash] updated http thrift server support based on feedback
377532c [judynash] add HTTP protocol spark thrift server
Based on this gist:
https://gist.github.com/amar-analytx/0b62543621e1f246c0a2
We use security group ids instead of security group to get around this issue:
https://github.com/boto/boto/issues/350
Author: Mike Jennings <mvj101@gmail.com>
Author: Mike Jennings <mvj@google.com>
Closes#2872 from mvj101/SPARK-3405 and squashes the following commits:
be9cb43 [Mike Jennings] `pep8 spark_ec2.py` runs cleanly.
4dc6756 [Mike Jennings] Remove duplicate comment
731d94c [Mike Jennings] Update for code review.
ad90a36 [Mike Jennings] Merge branch 'master' of https://github.com/apache/spark into SPARK-3405
1ebffa1 [Mike Jennings] Merge branch 'master' into SPARK-3405
52aaeec [Mike Jennings] [SPARK-3405] add subnet-id and vpc-id options to spark_ec2.py
This PR tests the pyspark Chi-squared hypothesis test from this commit: c8abddc516 and moves some of the error messaging in to python.
It is a port of the Scala tests here: [HypothesisTestSuite.scala](https://github.com/apache/spark/blob/master/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala)
Hopefully, SPARK-2980 can be closed.
Author: jbencook <jbenjamincook@gmail.com>
Closes#3679 from jbencook/master and squashes the following commits:
44078e0 [jbencook] checking that bad input throws the correct exceptions
f12ee10 [jbencook] removing checks for ValueError since input tests are on the Scala side
7536cf1 [jbencook] removing python checks for invalid input
a17ee84 [jbencook] [SPARK-2980][mllib] adding unit tests for the pyspark chi-squared test
3aeb0d9 [jbencook] [SPARK-2980][mllib] bringing Chi-squared error messages to the python side
update doc for WholeCombineFileRecordReader
Author: Davies Liu <davies@databricks.com>
Author: Josh Rosen <joshrosen@databricks.com>
Closes#3301 from davies/fix_doc and squashes the following commits:
1d7422f [Davies Liu] Merge pull request #2 from JoshRosen/whole-text-file-cleanup
dc3d21a [Josh Rosen] More genericization in ConfigurableCombineFileRecordReader.
95d13eb [Davies Liu] address comment
bf800b9 [Davies Liu] update doc for WholeCombineFileRecordReader
UTF8Deserializer can not be used in BatchedSerializer, so always use PickleSerializer() when change batchSize in zip().
Also, if two RDD have the same batch size already, they did not need re-serialize any more.
Author: Davies Liu <davies@databricks.com>
Closes#3706 from davies/fix_4841 and squashes the following commits:
20ce3a3 [Davies Liu] fix bug in _reserialize()
e3ebf7c [Davies Liu] add comment
379d2c8 [Davies Liu] fix zip with textFile()
Author: meiyoula <1039320815@qq.com>
Closes#3635 from XuTingjun/master and squashes the following commits:
dd1c66d [meiyoula] when old is deleted, it will throw an exception where call it
2a55bc2 [meiyoula] Update DiskBlockManager.scala
1483a4a [meiyoula] Delete multiple retries to make dir
67f7902 [meiyoula] Try some times to make dir maybe more reasonable
1c51a0c [meiyoula] Update DiskBlockManager.scala
This enables assertions for the Maven and SBT build, but overrides the Hive module to not enable assertions.
Author: Sean Owen <sowen@cloudera.com>
Closes#3692 from srowen/SPARK-4814 and squashes the following commits:
caca704 [Sean Owen] Disable assertions just for Hive
f71e783 [Sean Owen] Enable assertions for SBT and Maven build
Using driver and executor in the comments of ```MapOutputTracker``` is more clear.
Author: wangfei <wangfei1@huawei.com>
Closes#3700 from scwf/commentFix and squashes the following commits:
aa68524 [wangfei] master and worker should be driver and executor
This looked like perhaps a simple and important one. `combineByKey` looks like it should clean its arguments' closures, and that in turn covers apparently all remaining functions in `PairRDDFunctions` which delegate to it.
Author: Sean Owen <sowen@cloudera.com>
Closes#3690 from srowen/SPARK-785 and squashes the following commits:
8df68fe [Sean Owen] Clean context of most remaining functions in PairRDDFunctions, which ultimately call combineByKey
Hi all - I've renamed the methods referenced in this JIRA to clarify that they modify the provided arrays (find vs. deque).
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#3665 from ilganeli/SPARK-1037B and squashes the following commits:
64c177c [Ilya Ganelin] Renamed deque to dequeue
f27d85e [Ilya Ganelin] Renamed private methods to clarify that they modify the provided parameters
683482a [Ilya Ganelin] Renamed private methods to clarify that they modify the provided parameters
This PR should fix SPARK-4826, an issue where a bug in how we generate temp. file names was causing spurious test failures in the write ahead log suites.
Closes#3695.
Closes#3701.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#3704 from JoshRosen/SPARK-4826 and squashes the following commits:
f2307f5 [Josh Rosen] Use Spark Utils class for directory creation/deletion
a693ddb [Josh Rosen] remove unused Random import
b275e41 [Josh Rosen] Move creation of temp. dir to beforeEach/afterEach.
9362919 [Josh Rosen] [SPARK-4826] Fix bug in generation of temp file names. in WAL suites.
86c1944 [Josh Rosen] Revert "HOTFIX: Disabling failing block manager test"
I improved `IDFModel.transform` to allow using a single vector.
[[SPARK-4494] IDFModel.transform() add support for single vector - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-4494)
Author: Yuu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#3603 from yu-iskw/idf and squashes the following commits:
256ff3d [Yuu ISHIKAWA] Fix typo
a3bf566 [Yuu ISHIKAWA] - Fix typo - Optimize import order - Aggregate the assertion tests - Modify `IDFModel.transform` API for pyspark
d25e49b [Yuu ISHIKAWA] Add the implementation of `IDFModel.transform` for a term frequency vector
changed "form" to "from" in 3 documentation entries for Kafka integration
Author: Peter Klipfel <peter@klipfel.me>
Closes#3691 from peterklipfel/master and squashes the following commits:
0fe7fc5 [Peter Klipfel] fixed spelling errors in documentation
This commit exists to close the following pull requests on Github:
Closes#3488 (close requested by 'pwendell')
Closes#2939 (close requested by 'marmbrus')
Closes#3173 (close requested by 'marmbrus')
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#3676 from adrian-wang/countexpr and squashes the following commits:
dc5765b [Daoyuan Wang] add rule to fold count(expr) if expr is not null
When I use Parquet File as a output file using ParquetOutputFormat#getDefaultWorkFile, the file name is not zero padded while RDD#saveAsText does zero padding.
Author: Sasaki Toru <sasakitoa@nttdata.co.jp>
Closes#3602 from sasakitoa/parquet-zeroPadding and squashes the following commits:
6b0e58f [Sasaki Toru] Merge branch 'master' of git://github.com/apache/spark into parquet-zeroPadding
20dc79d [Sasaki Toru] Fixed the name of Parquet File generated by AppendingParquetOutputFormat
Fix bug when query like:
```
test("save join to table") {
val testData = sparkContext.parallelize(1 to 10).map(i => TestData(i, i.toString))
sql("CREATE TABLE test1 (key INT, value STRING)")
testData.insertInto("test1")
sql("CREATE TABLE test2 (key INT, value STRING)")
testData.insertInto("test2")
testData.insertInto("test2")
sql("SELECT COUNT(a.value) FROM test1 a JOIN test2 b ON a.key = b.key").saveAsTable("test")
checkAnswer(
table("test"),
sql("SELECT COUNT(a.value) FROM test1 a JOIN test2 b ON a.key = b.key").collect().toSeq)
}
```
Author: Cheng Hao <hao.cheng@intel.com>
Closes#3673 from chenghao-intel/spark_4825 and squashes the following commits:
e8cbd56 [Cheng Hao] alternate the pattern matching order for logical plan:CTAS
e004895 [Cheng Hao] fix bug
This is fixed by SPARK-4318 #3184
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#3445 from adrian-wang/emptyaggr and squashes the following commits:
982575e [Daoyuan Wang] enable empty aggr test case
So the optimizations are not valid. Also I think the optimization here is rarely encounter, so removing them will not have influence on performance.
Can we merge #3445 before I add a comparison test case from this?
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#3675 from adrian-wang/sumempty and squashes the following commits:
42df763 [Daoyuan Wang] sum and avg on empty table should always return null
a follow up of #3547
/cc marmbrus
Author: scwf <wangfei1@huawei.com>
Closes#3563 from scwf/rnc and squashes the following commits:
9395661 [scwf] remove unnecessary condition
Inserting data of type including `ArrayType.containsNull == false` or `MapType.valueContainsNull == false` or `StructType.fields.exists(_.nullable == false)` into Hive table will fail because `Cast` inserted by `HiveMetastoreCatalog.PreInsertionCasts` rule of `Analyzer` can't handle these types correctly.
Complex type cast rule proposal:
- Cast for non-complex types should be able to cast the same as before.
- Cast for `ArrayType` can evaluate if
- Element type can cast
- Nullability rule doesn't break
- Cast for `MapType` can evaluate if
- Key type can cast
- Nullability for casted key type is `false`
- Value type can cast
- Nullability rule for value type doesn't break
- Cast for `StructType` can evaluate if
- The field size is the same
- Each field can cast
- Nullability rule for each field doesn't break
- The nested structure should be the same.
Nullability rule:
- If the casted type is `nullable == true`, the target nullability should be `true`
Author: Takuya UESHIN <ueshin@happy-camper.st>
Closes#3150 from ueshin/issues/SPARK-4293 and squashes the following commits:
e935939 [Takuya UESHIN] Merge branch 'master' into issues/SPARK-4293
ba14003 [Takuya UESHIN] Merge branch 'master' into issues/SPARK-4293
8999868 [Takuya UESHIN] Fix a test title.
f677c30 [Takuya UESHIN] Merge branch 'master' into issues/SPARK-4293
287f410 [Takuya UESHIN] Add tests to insert data of types ArrayType / MapType / StructType with nullability is false into Hive table.
4f71bb8 [Takuya UESHIN] Make Cast be able to handle complex types.
fix a TODO in Analyzer:
// TODO: pass this in as a parameter
val fixedPoint = FixedPoint(100)
Author: Jacky Li <jacky.likun@huawei.com>
Closes#3499 from jackylk/config and squashes the following commits:
4c1252c [Jacky Li] fix scalastyle
820f460 [Jacky Li] pass maxIterations in as a parameter
Whitelist more hive unit test:
"create_like_tbl_props"
"udf5"
"udf_java_method"
"decimal_1"
"udf_pmod"
"udf_to_double"
"udf_to_float"
"udf7" (this will fail in Hive 0.12)
Author: Cheng Hao <hao.cheng@intel.com>
Closes#3522 from chenghao-intel/unittest and squashes the following commits:
f54e4c7 [Cheng Hao] work around to clean up the hive.table.parameters.default in reset
16fee22 [Cheng Hao] Whitelist more unittest
Unpersist a uncached RDD, will not raise exception, for example:
```
val data = Array(1, 2, 3, 4, 5)
val distData = sc.parallelize(data)
distData.unpersist(true)
```
But the `SchemaRDD` will raise exception if the `SchemaRDD` is not cached. Since `SchemaRDD` is the subclasses of the `RDD`, we should follow the same behavior.
Author: Cheng Hao <hao.cheng@intel.com>
Closes#3572 from chenghao-intel/try_uncache and squashes the following commits:
50a7a89 [Cheng Hao] SchemaRDD.unpersist() should not raise exception if it is not persisted
Important updates to the streaming programming guide
- Make the fault-tolerance properties easier to understand, with information about write ahead logs
- Update the information about deploying the spark streaming app with information about Driver HA
- Update Receiver guide to discuss reliable vs unreliable receivers.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Author: Josh Rosen <joshrosen@databricks.com>
Author: Josh Rosen <rosenville@gmail.com>
Closes#3653 from tdas/streaming-doc-update-1.2 and squashes the following commits:
f53154a [Tathagata Das] Addressed Josh's comments.
ce299e4 [Tathagata Das] Minor update.
ca19078 [Tathagata Das] Minor change
f746951 [Tathagata Das] Mentioned performance problem with WAL
7787209 [Tathagata Das] Merge branch 'streaming-doc-update-1.2' of github.com:tdas/spark into streaming-doc-update-1.2
2184729 [Tathagata Das] Updated Kafka and Flume guides with reliability information.
2f3178c [Tathagata Das] Added more information about writing reliable receivers in the custom receiver guide.
91aa5aa [Tathagata Das] Improved API Docs menu
5707581 [Tathagata Das] Added Pythn API badge
b9c8c24 [Tathagata Das] Merge pull request #26 from JoshRosen/streaming-programming-guide
b8c8382 [Josh Rosen] minor fixes
a4ef126 [Josh Rosen] Restructure parts of the fault-tolerance section to read a bit nicer when skipping over the headings
65f66cd [Josh Rosen] Fix broken link to fault-tolerance semantics section.
f015397 [Josh Rosen] Minor grammar / pluralization fixes.
3019f3a [Josh Rosen] Fix minor Markdown formatting issues
aa8bb87 [Tathagata Das] Small update.
195852c [Tathagata Das] Updated based on Josh's comments, updated receiver reliability and deploying section, and also updated configuration.
17b99fb [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into streaming-doc-update-1.2
a0217c0 [Tathagata Das] Changed Deploying menu layout
67fcffc [Tathagata Das] Added cluster mode + supervise example to submitting application guide.
e45453b [Tathagata Das] Update streaming guide, added deploying section.
192c7a7 [Tathagata Das] Added more info about Python API, and rewrote the checkpointing section.
Modified ScalaReflection.schemaFor to take primary constructor of Product when there are multiple constructors. Added test to suite which failed before but works now.
Needed for [https://github.com/apache/spark/pull/3637]
CC: marmbrus
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#3646 from jkbradley/sql-reflection and squashes the following commits:
796b2e4 [Joseph K. Bradley] Modified ScalaReflection.schemaFor to take primary constructor of Product when there are multiple constructors. Added test to suite which failed before but works now.
Author: Zhang, Liye <liye.zhang@intel.com>
Closes#2793 from liyezhang556520/uniformHashMap and squashes the following commits:
5884735 [Zhang, Liye] [CORE]codeStyle: uniform ConcurrentHashMap define in StorageLevel.scala
cc kayousterhout
I have a few outstanding questions from compiling this documentation:
- What's the difference between NO_PREF and ANY? I understand the implications of the ordering but don't know what an example of each would be
- Why is NO_PREF ahead of RACK_LOCAL? I would think it'd be better to schedule rack-local tasks ahead of no preference if you could only do one or the other. Is the idea to wait longer and hope for the rack-local tasks to turn into node-local or better?
- Will there be a datacenter-local locality level in the future? Apache Cassandra for example has this level
Author: Andrew Ash <andrew@andrewash.com>
Closes#2519 from ash211/SPARK-3526 and squashes the following commits:
44cff28 [Andrew Ash] Link to spark.locality parameters rather than copying the list
6d5d966 [Andrew Ash] Stay focused on Spark, no astronaut architecture mumbo-jumbo
20e0e31 [Andrew Ash] SPARK-3526 Add section about data locality to the tuning guide
This commit exists to close the following pull requests on Github:
Closes#2883 (close requested by 'pwendell')
Closes#3364 (close requested by 'pwendell')
Closes#4458 (close requested by 'pwendell')
Closes#1574 (close requested by 'andrewor14')
Closes#2546 (close requested by 'andrewor14')
Closes#2516 (close requested by 'andrewor14')
Closes#154 (close requested by 'andrewor14')
The driver hangs sometimes when we coalesce RDD partitions. See JIRA for more details and reproduction.
This is because our use of empty string as default preferred location in `CoalescedRDDPartition` causes the `TaskSetManager` to schedule the corresponding task on host `""` (empty string). The intended semantics here, however, is that the partition does not have a preferred location, and the TSM should schedule the corresponding task accordingly.
Author: Andrew Or <andrew@databricks.com>
Closes#3633 from andrewor14/coalesce-preferred-loc and squashes the following commits:
e520d6b [Andrew Or] Oops
3ebf8bd [Andrew Or] A few comments
f370a4e [Andrew Or] Fix tests
2f7dfb6 [Andrew Or] Avoid using empty string as default preferred location
