This change abstracts the code that serves jars / files to executors so that
each RpcEnv can have its own implementation; the akka version uses the existing
HTTP-based file serving mechanism, while the netty versions uses the new
stream support added to the network lib, which makes file transfers benefit
from the easier security configuration of the network library, and should also
reduce overhead overall.
The change includes a small fix to TransportChannelHandler so that it propagates
user events to downstream handlers.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#9530 from vanzin/SPARK-11140.
`<\code>` end tag missing backslash in
docs/configuration.md{L308-L339}
ref #8795
Author: Kai Jiang <jiangkai@gmail.com>
Closes#9715 from vectorijk/minor-typo-docs.
Remove Hadoop third party distro page, and move Hadoop cluster config info to configuration page
CC pwendell
Author: Sean Owen <sowen@cloudera.com>
Closes#9298 from srowen/SPARK-11305.
There's a lot of duplication between SortShuffleManager and UnsafeShuffleManager. Given that these now provide the same set of functionality, now that UnsafeShuffleManager supports large records, I think that we should replace SortShuffleManager's serialized shuffle implementation with UnsafeShuffleManager's and should merge the two managers together.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#8829 from JoshRosen/consolidate-sort-shuffle-implementations.
Add documentation for configuration:
- spark.sql.ui.retainedExecutions
- spark.streaming.ui.retainedBatches
Author: Nick Pritchard <nicholas.pritchard@falkonry.com>
Closes#9052 from pnpritchard/SPARK-11039.
This patch unifies the memory management of the storage and execution regions such that either side can borrow memory from each other. When memory pressure arises, storage will be evicted in favor of execution. To avoid regressions in cases where storage is crucial, we dynamically allocate a fraction of space for storage that execution cannot evict. Several configurations are introduced:
- **spark.memory.fraction (default 0.75)**: fraction of the heap space used for execution and storage. The lower this is, the more frequently spills and cached data eviction occur. The purpose of this config is to set aside memory for internal metadata, user data structures, and imprecise size estimation in the case of sparse, unusually large records.
- **spark.memory.storageFraction (default 0.5)**: size of the storage region within the space set aside by `spark.memory.fraction`. Cached data may only be evicted if total storage exceeds this region.
- **spark.memory.useLegacyMode (default false)**: whether to use the memory management that existed in Spark 1.5 and before. This is mainly for backward compatibility.
For a detailed description of the design, see [SPARK-10000](https://issues.apache.org/jira/browse/SPARK-10000). This patch builds on top of the `MemoryManager` interface introduced in #9000.
Author: Andrew Or <andrew@databricks.com>
Closes#9084 from andrewor14/unified-memory-manager.
1.4 docs noted that the units were MB - i have assumed this is still the case
Author: admackin <admackin@users.noreply.github.com>
Closes#9025 from admackin/master.
It does not make much sense to set `spark.shuffle.spill` or `spark.sql.planner.externalSort` to false: I believe that these configurations were initially added as "escape hatches" to guard against bugs in the external operators, but these operators are now mature and well-tested. In addition, these configurations are not handled in a consistent way anymore: SQL's Tungsten codepath ignores these configurations and will continue to use spilling operators. Similarly, Spark Core's `tungsten-sort` shuffle manager does not respect `spark.shuffle.spill=false`.
This pull request removes these configurations, adds warnings at the appropriate places, and deletes a large amount of code which was only used in code paths that did not support spilling.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#8831 from JoshRosen/remove-ability-to-disable-spilling.
spark.scheduler.minRegisteredResourcesRatio configuration parameter works for YARN mode but not for Mesos Coarse grained mode.
If the parameter specified default value of 0 will be set for spark.scheduler.minRegisteredResourcesRatio in base class and this method will always return true.
There are no existing test for YARN mode too. Hence not added test for the same.
Author: Akash Mishra <akash.mishra20@gmail.com>
Closes#8672 from SleepyThread/master.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#8656 from tdas/SPARK-10492 and squashes the following commits:
986cdd6 [Tathagata Das] Added information on backpressure
We introduced the Netty network module for shuffle in Spark 1.2, and has turned it on by default for 3 releases. The old ConnectionManager is difficult to maintain. If we merge the patch now, by the time it is released, it would be 1 yr for which ConnectionManager is off by default. It's time to remove it.
Author: Reynold Xin <rxin@databricks.com>
Closes#8161 from rxin/SPARK-9767.
SPARK-4223.
Currently we support setting view and modify acls but you have to specify a list of users. It would be nice to support * meaning all users have access.
Manual tests to verify that: "*" works for any user in:
a. Spark ui: view and kill stage. Done.
b. Spark history server. Done.
c. Yarn application killing. Done.
Author: zhuol <zhuol@yahoo-inc.com>
Closes#8398 from zhuoliu/4223.
https://issues.apache.org/jira/browse/SPARK-10315
this parameter is not used any longer and there is some mistake in the current document , should be 'akka.remote.watch-failure-detector.threshold'
Author: CodingCat <zhunansjtu@gmail.com>
Closes#8483 from CodingCat/SPARK_10315.
Deprecate NIO ConnectionManager in Spark 1.5.0, before removing it in Spark 1.6.0.
Author: Reynold Xin <rxin@databricks.com>
Closes#8162 from rxin/SPARK-9934.
Document spark.shuffle.service.{enabled,port}
CC sryza tgravescs
This is pretty minimal; is there more to say here about the service?
Author: Sean Owen <sowen@cloudera.com>
Closes#7991 from srowen/SPARK-9641 and squashes the following commits:
3bb946e [Sean Owen] Add link to docs for setup and config of external shuffle service
2302e01 [Sean Owen] Document spark.shuffle.service.{enabled,port}
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#7651 from vanzin/SPARK-9327 and squashes the following commits:
2923e23 [Marcelo Vanzin] [SPARK-9327] [docs] Fix documentation about classpath config options.
Spark has an option called spark.localExecution.enabled; according to the docs:
> Enables Spark to run certain jobs, such as first() or take() on the driver, without sending tasks to the cluster. This can make certain jobs execute very quickly, but may require shipping a whole partition of data to the driver.
This feature ends up adding quite a bit of complexity to DAGScheduler, especially in the runLocallyWithinThread method, but as far as I know nobody uses this feature (I searched the mailing list and haven't seen any recent mentions of the configuration nor stacktraces including the runLocally method). As a step towards scheduler complexity reduction, I propose that we remove this feature and all code related to it for Spark 1.5.
This pull request simply brings #7484 up to date.
Author: Josh Rosen <joshrosen@databricks.com>
Author: Reynold Xin <rxin@databricks.com>
Closes#7585 from rxin/remove-local-exec and squashes the following commits:
84bd10e [Reynold Xin] Python fix.
1d9739a [Reynold Xin] Merge pull request #7484 from JoshRosen/remove-localexecution
eec39fa [Josh Rosen] Remove allowLocal(); deprecate user-facing uses of it.
b0835dc [Josh Rosen] Remove local execution code in DAGScheduler
8975d96 [Josh Rosen] Remove local execution tests.
ffa8c9b [Josh Rosen] Remove documentation for configuration
There are a few memory limits that people hit often and that we could
make higher, especially now that memory sizes have grown.
- spark.akka.frameSize: This defaults at 10 but is often hit for map
output statuses in large shuffles. This memory is not fully allocated
up-front, so we can just make this larger and still not affect jobs
that never sent a status that large. We increase it to 128.
- spark.executor.memory: Defaults at 512m, which is really small. We
increase it to 1g.
Author: Matei Zaharia <matei@databricks.com>
Closes#7586 from mateiz/configs and squashes the following commits:
ce0038a [Matei Zaharia] [SPARK-9244] Increase some memory defaults
The meaning of spark.kryoserializer.buffer should be "Initial size of Kryo's serialization buffer. Note that there will be one buffer per core on each worker. This buffer will grow up to spark.kryoserializer.buffer.max if needed.".
The spark.kryoserializer.buffer.max.mb is out-of-date in spark 1.4.
Author: zhaishidan <zhaishidan@haizhi.com>
Closes#7393 from stanzhai/master and squashes the following commits:
69729ef [zhaishidan] fix document error about spark.kryoserializer.buffer.max.mb
pwendell and I discussed this a little more offline and concluded that it would be good to keep it more conservative. Losing cached blocks may be very expensive and we should only allow it if the user knows what he/she is doing.
FYI harishreedharan sryza.
Author: Andrew Or <andrew@databricks.com>
Closes#7329 from andrewor14/da-cached-timeout and squashes the following commits:
cef0b4e [Andrew Or] Change timeout to infinity
A couple descriptions were not inside `<td></td>` and were being displayed immediately under the section title instead of in their row.
Author: Jonathan Alter <jonalter@users.noreply.github.com>
Closes#7292 from jonalter/docs-config and squashes the following commits:
5ce1570 [Jonathan Alter] [DOCS] Format wrong for some config descriptions
I've updated default values in comments, documentation, and in the command line builder to be 1g based on comments in the JIRA. I've also updated most usages to point at a single variable defined in the Utils.scala and JavaUtils.java files. This wasn't possible in all cases (R, shell scripts etc.) but usage in most code is now pointing at the same place.
Please let me know if I've missed anything.
Will the spark-shell use the value within the command line builder during instantiation?
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#7132 from ilganeli/SPARK-3071 and squashes the following commits:
4074164 [Ilya Ganelin] String fix
271610b [Ilya Ganelin] Merge branch 'SPARK-3071' of github.com:ilganeli/spark into SPARK-3071
273b6e9 [Ilya Ganelin] Test fix
fd67721 [Ilya Ganelin] Update JavaUtils.java
26cc177 [Ilya Ganelin] test fix
e5db35d [Ilya Ganelin] Fixed test failure
39732a1 [Ilya Ganelin] merge fix
a6f7deb [Ilya Ganelin] Created default value for DRIVER MEM in Utils that's now used in almost all locations instead of setting manually in each
09ad698 [Ilya Ganelin] Update SubmitRestProtocolSuite.scala
19b6f25 [Ilya Ganelin] Missed one doc update
2698a3d [Ilya Ganelin] Updated default value for driver memory
[SQL][DOC] I found it a bit confusing when I came across it for the first time in the docs
Author: Radek Ostrowski <dest.hawaii@gmail.com>
Author: radek <radek@radeks-MacBook-Pro-2.local>
Closes#6332 from radek1st/master and squashes the following commits:
dae3347 [Radek Ostrowski] fixed typo
c76bb3a [radek] improved a comment
Read number of threads for RBackend from configuration.
[SPARK-8282] #comment Linking with JIRA
Author: Hossein <hossein@databricks.com>
Closes#6730 from falaki/SPARK-8282 and squashes the following commits:
33b3d98 [Hossein] Documented new config parameter
70f2a9c [Hossein] Fixing import
ec44225 [Hossein] Read number of threads for RBackend from configuration
this is a follow up of #3621
/cc liancheng pwendell
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#6639 from adrian-wang/kryodoc and squashes the following commits:
3c4b1cf [Daoyuan Wang] [DOC] kryo default setting in SQL Thrift server
…moved if dynamic allocation is enabled.
This is a work in progress. This patch ensures that an executor that has cached RDD blocks are not removed,
but makes no attempt to find another executor to remove. This is meant to get some feedback on the current
approach, and if it makes sense then I will look at choosing another executor to remove. No testing has been done either.
Author: Hari Shreedharan <hshreedharan@apache.org>
Closes#6508 from harishreedharan/dymanic-caching and squashes the following commits:
dddf1eb [Hari Shreedharan] Minor configuration description update.
10130e2 [Hari Shreedharan] Fix compile issue.
5417b53 [Hari Shreedharan] Add documentation for new config. Remove block from cachedBlocks when it is dropped.
875916a [Hari Shreedharan] Make some code more readable.
39940ca [Hari Shreedharan] Handle the case where the executor has not yet registered.
90ad711 [Hari Shreedharan] Remove unused imports and unused methods.
063985c [Hari Shreedharan] Send correct message instead of recursively calling same method.
ec2fd7e [Hari Shreedharan] Add file missed in last commit
5d10fad [Hari Shreedharan] Update cached blocks status using local info, rather than doing an RPC.
193af4c [Hari Shreedharan] WIP. Use local state rather than via RPC.
ae932ff [Hari Shreedharan] Fix config param name.
272969d [Hari Shreedharan] Fix seconds to millis bug.
5a1993f [Hari Shreedharan] Add timeout for cache executors. Ignore broadcast blocks while checking if there are cached blocks.
57fefc2 [Hari Shreedharan] [SPARK-7955][Core] Ensure executors with cached RDD blocks are not removed if dynamic allocation is enabled.
The first line had only two dashes (--) instead of three(---). Because of this missing dash(-), 'jekyll build' command was not converting configuration.md to _site/configuration.html
Author: Taka Shinagawa <taka.epsilon@gmail.com>
Closes#6513 from mrt/docfix3 and squashes the following commits:
c470e2c [Taka Shinagawa] Added a missing dash(-) preventing jekyll from converting configuration.md to html format
The default add time of 5s is still too slow for small jobs. Also, the current default remove time of 10 minutes seem rather high. This patch lowers both and rephrases a few log messages.
Author: Andrew Or <andrew@databricks.com>
Closes#6301 from andrewor14/da-minor and squashes the following commits:
6d614a6 [Andrew Or] Lower log level
2811492 [Andrew Or] Log information when requests are canceled
5fcd3eb [Andrew Or] Fix tests
3320710 [Andrew Or] Lower timeouts + rephrase a few log messages
The default value will be changed to `1000` in #5533. So here I just used `1000`.
Author: zsxwing <zsxwing@gmail.com>
Closes#5899 from zsxwing/SPARK-7351 and squashes the following commits:
e1ec515 [zsxwing] [SPARK-7351][Streaming][Docs] Add spark.streaming.ui.retainedBatches to docs
Added documentation for spark.streaming.kafka.maxRetries
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#5808 from BenFradet/master and squashes the following commits:
cc72e7a [BenFradet] updated doc for spark.streaming.kafka.maxRetries to explain the default value
18f823e [BenFradet] Added "consecutive" to the spark.streaming.kafka.maxRetries doc
597fdeb [BenFradet] Mention that spark.streaming.kafka.maxRetries only applies to the direct kafka api
0efad39 [BenFradet] Added documentation for spark.streaming.kafka.maxRetries
This is the classes for creating off-heap block storage API. It also includes the migration for Tachyon. The diff seems to be big, but it mainly just rename tachyon to offheap. New implementation for hdfs will be submit for review in spark-6112.
Author: Zhan Zhang <zhazhan@gmail.com>
Closes#5430 from zhzhan/SPARK-6479 and squashes the following commits:
60acd84 [Zhan Zhang] minor change to kickoff the test
12f54c9 [Zhan Zhang] solve merge conflicts
a54132c [Zhan Zhang] solve review comments
ffb8e00 [Zhan Zhang] rebase to sparkcontext change
6e121e0 [Zhan Zhang] resolve review comments and restructure blockmanasger code
a7aed6c [Zhan Zhang] add Tachyon migration code
186de31 [Zhan Zhang] initial commit for off-heap block storage api
I've added an interface to JavaUtils to do byte conversion and added hooks within Utils.scala to handle conversion within Spark code (like for time strings). I've added matching tests for size conversion, and then updated all deprecated configs and documentation as per SPARK-5933.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#5574 from ilganeli/SPARK-5932 and squashes the following commits:
11f6999 [Ilya Ganelin] Nit fixes
49a8720 [Ilya Ganelin] Whitespace fix
2ab886b [Ilya Ganelin] Scala style
fc85733 [Ilya Ganelin] Got rid of floating point math
852a407 [Ilya Ganelin] [SPARK-5932] Added much improved overflow handling. Can now handle sizes up to Long.MAX_VALUE Petabytes instead of being capped at Long.MAX_VALUE Bytes
9ee779c [Ilya Ganelin] Simplified fraction matches
22413b1 [Ilya Ganelin] Made MAX private
3dfae96 [Ilya Ganelin] Fixed some nits. Added automatic conversion of old paramter for kryoserializer.mb to new values.
e428049 [Ilya Ganelin] resolving merge conflict
8b43748 [Ilya Ganelin] Fixed error in pattern matching for doubles
84a2581 [Ilya Ganelin] Added smoother handling of fractional values for size parameters. This now throws an exception and added a warning for old spark.kryoserializer.buffer
d3d09b6 [Ilya Ganelin] [SPARK-5932] Fixing error in KryoSerializer
fe286b4 [Ilya Ganelin] Resolved merge conflict
c7803cd [Ilya Ganelin] Empty lines
54b78b4 [Ilya Ganelin] Simplified byteUnit class
69e2f20 [Ilya Ganelin] Updates to code
f32bc01 [Ilya Ganelin] [SPARK-5932] Fixed error in API in SparkConf.scala where Kb conversion wasn't being done properly (was Mb). Added test cases for both timeUnit and ByteUnit conversion
f15f209 [Ilya Ganelin] Fixed conversion of kryo buffer size
0f4443e [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5932
35a7fa7 [Ilya Ganelin] Minor formatting
928469e [Ilya Ganelin] [SPARK-5932] Converted some longs to ints
5d29f90 [Ilya Ganelin] [SPARK-5932] Finished documentation updates
7a6c847 [Ilya Ganelin] [SPARK-5932] Updated spark.shuffle.file.buffer
afc9a38 [Ilya Ganelin] [SPARK-5932] Updated spark.broadcast.blockSize and spark.storage.memoryMapThreshold
ae7e9f6 [Ilya Ganelin] [SPARK-5932] Updated spark.io.compression.snappy.block.size
2d15681 [Ilya Ganelin] [SPARK-5932] Updated spark.executor.logs.rolling.size.maxBytes
1fbd435 [Ilya Ganelin] [SPARK-5932] Updated spark.broadcast.blockSize
eba4de6 [Ilya Ganelin] [SPARK-5932] Updated spark.shuffle.file.buffer.kb
b809a78 [Ilya Ganelin] [SPARK-5932] Updated spark.kryoserializer.buffer.max
0cdff35 [Ilya Ganelin] [SPARK-5932] Updated to use bibibytes in method names. Updated spark.kryoserializer.buffer.mb and spark.reducer.maxMbInFlight
475370a [Ilya Ganelin] [SPARK-5932] Simplified ByteUnit code, switched to using longs. Updated docs to clarify that we use kibi, mebi etc instead of kilo, mega
851d691 [Ilya Ganelin] [SPARK-5932] Updated memoryStringToMb to use new interfaces
a9f4fcf [Ilya Ganelin] [SPARK-5932] Added unit tests for unit conversion
747393a [Ilya Ganelin] [SPARK-5932] Added unit tests for ByteString conversion
09ea450 [Ilya Ganelin] [SPARK-5932] Added byte string conversion to Jav utils
5390fd9 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5932
db9a963 [Ilya Ganelin] Closing second spark context
1dc0444 [Ilya Ganelin] Added ref equality check
8c884fa [Ilya Ganelin] Made getOrCreate synchronized
cb0c6b7 [Ilya Ganelin] Doc updates and code cleanup
270cfe3 [Ilya Ganelin] [SPARK-6703] Documentation fixes
15e8dea [Ilya Ganelin] Updated comments and added MiMa Exclude
0e1567c [Ilya Ganelin] Got rid of unecessary option for AtomicReference
dfec4da [Ilya Ganelin] Changed activeContext to AtomicReference
733ec9f [Ilya Ganelin] Fixed some bugs in test code
8be2f83 [Ilya Ganelin] Replaced match with if
e92caf7 [Ilya Ganelin] [SPARK-6703] Added test to ensure that getOrCreate both allows creation, retrieval, and a second context if desired
a99032f [Ilya Ganelin] Spacing fix
d7a06b8 [Ilya Ganelin] Updated SparkConf class to add getOrCreate method. Started test suite implementation
Added docs for rpc configurations and also fixed two places that should have been fixed in #5595.
Author: zsxwing <zsxwing@gmail.com>
Closes#5607 from zsxwing/SPARK-6490-docs and squashes the following commits:
25a6736 [zsxwing] Increase the default timeout to 120s
6e37c30 [zsxwing] Update docs
5577540 [zsxwing] Use spark.network.timeout as the default timeout if it presents
4f07174 [zsxwing] Fix unit tests
1c2cf26 [zsxwing] Add docs for rpc configurations
resubmit of https://github.com/apache/spark/pull/636 for a totally different algorithm
https://issues.apache.org/jira/browse/SPARK-1706
In current implementation, the user has to start multiple workers in a server for starting multiple executors in a server, which introduces additional overhead due to the more JVM processes...
In this patch, I changed the scheduling logic in master to enable the user to start multiple executor processes within the same JVM process.
1. user configure spark.executor.maxCoreNumPerExecutor to suggest the maximum core he/she would like to allocate to each executor
2. Master assigns the executors to the workers with the major consideration on the memoryPerExecutor and the worker.freeMemory, and tries to allocate as many as possible cores to the executor ```min(min(memoryPerExecutor, worker.freeCore), maxLeftCoreToAssign)``` where ```maxLeftCoreToAssign = maxExecutorCanAssign * maxCoreNumPerExecutor```
---------------------------------------
Other small changes include
change memoryPerSlave in ApplicationDescription to memoryPerExecutor, as "Slave" is overrided to represent both worker and executor in the documents... (we have some discussion on this before?)
Author: CodingCat <zhunansjtu@gmail.com>
Closes#731 from CodingCat/SPARK-1706-2 and squashes the following commits:
6dee808 [CodingCat] change filter predicate
fbeb7e5 [CodingCat] address the comments
940cb42 [CodingCat] avoid unnecessary allocation
b8ca561 [CodingCat] revert a change
45967b4 [CodingCat] remove unused method
2eeff77 [CodingCat] stylistic fixes
12a1b32 [CodingCat] change the semantic of coresPerExecutor to exact core number
f035423 [CodingCat] stylistic fix
d9c1685 [CodingCat] remove unused var
f595bd6 [CodingCat] recover some unintentional changes
63b3df9 [CodingCat] change the description of the parameter in the submit script
4cf61f1 [CodingCat] improve the code and docs
ff011e2 [CodingCat] start multiple executors on the worker by rewriting startExeuctor logic
2c2bcc5 [CodingCat] fix wrong usage info
497ec2c [CodingCat] address andrew's comments
878402c [CodingCat] change the launching executor code
f64a28d [CodingCat] typo fix
387f4ec [CodingCat] bug fix
35c462c [CodingCat] address Andrew's comments
0b64fea [CodingCat] fix compilation issue
19d3da7 [CodingCat] address the comments
5b81466 [CodingCat] remove outdated comments
ec7d421 [CodingCat] test commit
e5efabb [CodingCat] more java docs and consolidate canUse function
a26096d [CodingCat] stylistic fix
a5d629a [CodingCat] java doc
b34ec0c [CodingCat] make master support multiple executors per worker
I've added new utility methods to do the conversion from times specified as e.g. 120s, 240ms, 360us to convert to a consistent internal representation. I've updated usage of these constants throughout the code to be consistent.
I believe I've captured all usages of time-based properties throughout the code. I've also updated variable names in a number of places to reflect their units for clarity and updated documentation where appropriate.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Author: Ilya Ganelin <ilganeli@gmail.com>
Closes#5236 from ilganeli/SPARK-5931 and squashes the following commits:
4526c81 [Ilya Ganelin] Update configuration.md
de3bff9 [Ilya Ganelin] Fixing style errors
f5fafcd [Ilya Ganelin] Doc updates
951ca2d [Ilya Ganelin] Made the most recent round of changes
bc04e05 [Ilya Ganelin] Minor fixes and doc updates
25d3f52 [Ilya Ganelin] Minor nit fixes
642a06d [Ilya Ganelin] Fixed logic for invalid suffixes and addid matching test
8927e66 [Ilya Ganelin] Fixed handling of -1
69fedcc [Ilya Ganelin] Added test for zero
dc7bd08 [Ilya Ganelin] Fixed error in exception handling
7d19cdd [Ilya Ganelin] Added fix for possible NPE
6f651a8 [Ilya Ganelin] Now using regexes to simplify code in parseTimeString. Introduces getTimeAsSec and getTimeAsMs methods in SparkConf. Updated documentation
cbd2ca6 [Ilya Ganelin] Formatting error
1a1122c [Ilya Ganelin] Formatting fixes and added m for use as minute formatter
4e48679 [Ilya Ganelin] Fixed priority order and mixed up conversions in a couple spots
d4efd26 [Ilya Ganelin] Added time conversion for yarn.scheduler.heartbeat.interval-ms
cbf41db [Ilya Ganelin] Got rid of thrown exceptions
1465390 [Ilya Ganelin] Nit
28187bf [Ilya Ganelin] Convert straight to seconds
ff40bfe [Ilya Ganelin] Updated tests to fix small bugs
19c31af [Ilya Ganelin] Added cleaner computation of time conversions in tests
6387772 [Ilya Ganelin] Updated suffix handling to handle overlap of units more gracefully
5193d5f [Ilya Ganelin] Resolved merge conflicts
76cfa27 [Ilya Ganelin] [SPARK-5931] Minor nit fixes'
bf779b0 [Ilya Ganelin] Special handling of overlapping usffixes for java
dd0a680 [Ilya Ganelin] Updated scala code to call into java
b2fc965 [Ilya Ganelin] replaced get or default since it's not present in this version of java
39164f9 [Ilya Ganelin] [SPARK-5931] Updated Java conversion to be similar to scala conversion. Updated conversions to clean up code a little using TimeUnit.convert. Added Unit tests
3b126e1 [Ilya Ganelin] Fixed conversion to US from seconds
1858197 [Ilya Ganelin] Fixed bug where all time was being converted to us instead of the appropriate units
bac9edf [Ilya Ganelin] More whitespace
8613631 [Ilya Ganelin] Whitespace
1c0c07c [Ilya Ganelin] Updated Java code to add day, minutes, and hours
647b5ac [Ilya Ganelin] Udpated time conversion to use map iterator instead of if fall through
70ac213 [Ilya Ganelin] Fixed remaining usages to be consistent. Updated Java-side time conversion
68f4e93 [Ilya Ganelin] Updated more files to clean up usage of default time strings
3a12dd8 [Ilya Ganelin] Updated host revceiver
5232a36 [Ilya Ganelin] [SPARK-5931] Changed default behavior of time string conversion.
499bdf0 [Ilya Ganelin] Merge branch 'SPARK-5931' of github.com:ilganeli/spark into SPARK-5931
9e2547c [Ilya Ganelin] Reverting doc changes
8f741e1 [Ilya Ganelin] Update JavaUtils.java
34f87c2 [Ilya Ganelin] Update Utils.scala
9a29d8d [Ilya Ganelin] Fixed misuse of time in streaming context test
42477aa [Ilya Ganelin] Updated configuration doc with note on specifying time properties
cde9bff [Ilya Ganelin] Updated spark.streaming.blockInterval
c6a0095 [Ilya Ganelin] Updated spark.core.connection.auth.wait.timeout
5181597 [Ilya Ganelin] Updated spark.dynamicAllocation.schedulerBacklogTimeout
2fcc91c [Ilya Ganelin] Updated spark.dynamicAllocation.executorIdleTimeout
6d1518e [Ilya Ganelin] Upated spark.speculation.interval
3f1cfc8 [Ilya Ganelin] Updated spark.scheduler.revive.interval
3352d34 [Ilya Ganelin] Updated spark.scheduler.maxRegisteredResourcesWaitingTime
272c215 [Ilya Ganelin] Updated spark.locality.wait
7320c87 [Ilya Ganelin] updated spark.akka.heartbeat.interval
064ebd6 [Ilya Ganelin] Updated usage of spark.cleaner.ttl
21ef3dd [Ilya Ganelin] updated spark.shuffle.sasl.timeout
c9f5cad [Ilya Ganelin] Updated spark.shuffle.io.retryWait
4933fda [Ilya Ganelin] Updated usage of spark.storage.blockManagerSlaveTimeout
7db6d2a [Ilya Ganelin] Updated usage of spark.akka.timeout
404f8c3 [Ilya Ganelin] Updated usage of spark.core.connection.ack.wait.timeout
59bf9e1 [Ilya Ganelin] [SPARK-5931] Updated Utils and JavaUtils classes to add helper methods to handle time strings. Updated time strings in a few places to properly parse time
...support NFS mounts.
This is a work around for now with the goal to find a more permanent solution.
https://issues.apache.org/jira/browse/SPARK-6313
Author: nemccarthy <nathan@nemccarthy.me>
Closes#5036 from nemccarthy/master and squashes the following commits:
2eaaf42 [nemccarthy] [SPARK-6313] Update config wording doc for spark.files.useFetchCache
5de7eb4 [nemccarthy] [SPARK-6313] Add config option to disable file locks/fetchFile cache to support NFS mounts
Updated the configuration docs from the minor items that Reynold had left over from SPARK-1182; specifically I updated the `running-on-mesos` link to point directly to `running-on-mesos#configuration` and upgraded the `yarn`, `mesos`, etc. bullets to `<h5>` tags in hopes that they'll get pushed into the TOC.
Author: Brennon York <brennon.york@capitalone.com>
Closes#5022 from brennonyork/SPARK-6329 and squashes the following commits:
42a10a9 [Brennon York] minor doc fixes
Updates to the documentation are as follows:
- Added information on Kafka Direct API and Kafka Python API
- Added joins to the main streaming guide
- Improved details on the fault-tolerance semantics
Generated docs located here
http://people.apache.org/~tdas/spark-1.3.0-temp-docs/streaming-programming-guide.html#fault-tolerance-semantics
More things to add:
- Configuration for Kafka receive rate
- May be add concurrentJobs
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#4956 from tdas/streaming-guide-update-1.3 and squashes the following commits:
819408c [Tathagata Das] Minor fixes.
debe484 [Tathagata Das] Added DataFrames and MLlib
380cf8d [Tathagata Das] Fix link
04167a6 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into streaming-guide-update-1.3
0b77486 [Tathagata Das] Updates based on Josh's comments.
86c4c2a [Tathagata Das] Updated streaming guides
82de92a [Tathagata Das] Add Kafka to Python api docs
There are multiple issues with translating on set outlined in the JIRA.
This PR reverts the translation logic added to `SparkConf`. In the future, after the 1.3.0 release we will figure out a way to reorganize the internal structure more elegantly. For now, let's preserve the existing semantics of `SparkConf` since it's a public interface. Unfortunately this means duplicating some code for now, but this is all internal and we can always clean it up later.
Author: Andrew Or <andrew@databricks.com>
Closes#4799 from andrewor14/conf-set-translate and squashes the following commits:
11c525b [Andrew Or] Move warning to driver
10e77b5 [Andrew Or] Add documentation for deprecation precedence
a369cb1 [Andrew Or] Merge branch 'master' of github.com:apache/spark into conf-set-translate
c26a9e3 [Andrew Or] Revert all translate logic in SparkConf
fef6c9c [Andrew Or] Restore deprecation logic for spark.executor.userClassPathFirst
94b4dfa [Andrew Or] Translate on get, not set
The configuration is not supported in mesos mode now.
See https://github.com/apache/spark/pull/1462
Author: Li Zhihui <zhihui.li@intel.com>
Closes#4781 from li-zhihui/fixdocconf and squashes the following commits:
63e7a44 [Li Zhihui] Modify default value description for spark.scheduler.minRegisteredResourcesRatio on docs.
Clarify default max wait in spark.shuffle.io.retryWait docs
CC andrewor14
Author: Sean Owen <sowen@cloudera.com>
Closes#4769 from srowen/SPARK-5930 and squashes the following commits:
ae2792b [Sean Owen] Clarify default max wait in spark.shuffle.io.retryWait docs
https://issues.apache.org/jira/browse/SPARK-5724
In AkkaUtil, we set several failure detector related the parameters as following
```
al akkaConf = ConfigFactory.parseMap(conf.getAkkaConf.toMap[String, String])
.withFallback(akkaSslConfig).withFallback(ConfigFactory.parseString(
s"""
|akka.daemonic = on
|akka.loggers = [""akka.event.slf4j.Slf4jLogger""]
|akka.stdout-loglevel = "ERROR"
|akka.jvm-exit-on-fatal-error = off
|akka.remote.require-cookie = "$requireCookie"
|akka.remote.secure-cookie = "$secureCookie"
|akka.remote.transport-failure-detector.heartbeat-interval = $akkaHeartBeatInterval s
|akka.remote.transport-failure-detector.acceptable-heartbeat-pause = $akkaHeartBeatPauses s
|akka.remote.transport-failure-detector.threshold = $akkaFailureDetector
|akka.actor.provider = "akka.remote.RemoteActorRefProvider"
|akka.remote.netty.tcp.transport-class = "akka.remote.transport.netty.NettyTransport"
|akka.remote.netty.tcp.hostname = "$host"
|akka.remote.netty.tcp.port = $port
|akka.remote.netty.tcp.tcp-nodelay = on
|akka.remote.netty.tcp.connection-timeout = $akkaTimeout s
|akka.remote.netty.tcp.maximum-frame-size = ${akkaFrameSize}B
|akka.remote.netty.tcp.execution-pool-size = $akkaThreads
|akka.actor.default-dispatcher.throughput = $akkaBatchSize
|akka.log-config-on-start = $logAkkaConfig
|akka.remote.log-remote-lifecycle-events = $lifecycleEvents
|akka.log-dead-letters = $lifecycleEvents
|akka.log-dead-letters-during-shutdown = $lifecycleEvents
""".stripMargin))
```
Actually, we do not have any parameter naming "akka.remote.transport-failure-detector.threshold"
see: http://doc.akka.io/docs/akka/2.3.4/general/configuration.html
what we have is "akka.remote.watch-failure-detector.threshold"
Author: CodingCat <zhunansjtu@gmail.com>
Closes#4512 from CodingCat/SPARK-5724 and squashes the following commits:
bafe56e [CodingCat] fix the grammar in configuration doc
338296e [CodingCat] remove failure-detector related info
8bfcfd4 [CodingCat] fix the misconfiguration in AkkaUtils
I've updated documentation to reflect true behavior of this setting in client vs. cluster mode.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#4665 from ilganeli/SPARK-5570 and squashes the following commits:
5d1c8dd [Ilya Ganelin] Added example configuration code
a51700a [Ilya Ganelin] Getting rid of extra spaces
85f7a08 [Ilya Ganelin] Reworded note
5889d43 [Ilya Ganelin] Formatting adjustment
f149ba1 [Ilya Ganelin] Minor updates
1fec7a5 [Ilya Ganelin] Updated to add clarification for other driver properties
db47595 [Ilya Ganelin] Slight formatting update
c899564 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5570
17b751d [Ilya Ganelin] Updated documentation for driver-memory to reflect its true behavior in client vs cluster mode
Yarn's config option `spark.yarn.user.classpath.first` does not work the same way as
`spark.files.userClassPathFirst`; Yarn's version is a lot more dangerous, in that it
modifies the system classpath, instead of restricting the changes to the user's class
loader. So this change implements the behavior of the latter for Yarn, and deprecates
the more dangerous choice.
To be able to achieve feature-parity, I also implemented the option for drivers (the existing
option only applies to executors). So now there are two options, each controlling whether
to apply userClassPathFirst to the driver or executors. The old option was deprecated, and
aliased to the new one (`spark.executor.userClassPathFirst`).
The existing "child-first" class loader also had to be fixed. It didn't handle resources, and it
was also doing some things that ended up causing JVM errors depending on how things
were being called.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#3233 from vanzin/SPARK-2996 and squashes the following commits:
9cf9cf1 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a1499e2 [Marcelo Vanzin] Remove SPARK_HOME propagation.
fa7df88 [Marcelo Vanzin] Remove 'test.resource' file, create it dynamically.
a8c69f1 [Marcelo Vanzin] Review feedback.
cabf962 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a1b8d7e [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
3f768e3 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
2ce3c7a [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
0e6d6be [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
70d4044 [Marcelo Vanzin] Fix pyspark/yarn-cluster test.
0fe7777 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
0e6ef19 [Marcelo Vanzin] Move class loaders around and make names more meaninful.
fe970a7 [Marcelo Vanzin] Review feedback.
25d4fed [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
3cb6498 [Marcelo Vanzin] Call the right loadClass() method on the parent.
fbb8ab5 [Marcelo Vanzin] Add locking in loadClass() to avoid deadlocks.
2e6c4b7 [Marcelo Vanzin] Mention new setting in documentation.
b6497f9 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a10f379 [Marcelo Vanzin] Some feedback.
3730151 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
f513871 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
44010b6 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
7b57cba [Marcelo Vanzin] Remove now outdated message.
5304d64 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
35949c8 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
54e1a98 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
d1273b2 [Marcelo Vanzin] Add test file to rat exclude.
fa1aafa [Marcelo Vanzin] Remove write check on user jars.
89d8072 [Marcelo Vanzin] Cleanups.
a963ea3 [Marcelo Vanzin] Implement spark.driver.userClassPathFirst for standalone cluster mode.
50afa5f [Marcelo Vanzin] Fix Yarn executor command line.
7d14397 [Marcelo Vanzin] Register user jars in executor up front.
7f8603c [Marcelo Vanzin] Fix yarn-cluster mode without userClassPathFirst.
20373f5 [Marcelo Vanzin] Fix ClientBaseSuite.
55c88fa [Marcelo Vanzin] Run all Yarn integration tests via spark-submit.
0b64d92 [Marcelo Vanzin] Add deprecation warning to yarn option.
4a84d87 [Marcelo Vanzin] Fix the child-first class loader.
d0394b8 [Marcelo Vanzin] Add "deprecated configs" to SparkConf.
46d8cf2 [Marcelo Vanzin] Update doc with new option, change name to "userClassPathFirst".
a314f2d [Marcelo Vanzin] Enable driver class path isolation in SparkSubmit.
91f7e54 [Marcelo Vanzin] [yarn] Enable executor class path isolation.
a853e74 [Marcelo Vanzin] Re-work CoarseGrainedExecutorBackend command line arguments.
89522ef [Marcelo Vanzin] Add class path isolation support for Yarn cluster mode.
A recent patch #4051 made the initial number default to 0. With this change, any Spark application using dynamic allocation's default settings will ramp up very slowly. Since we never request more executors than needed to saturate the pending tasks, it is safe to ramp up quickly. The current default of 60 may be too slow.
Author: Andrew Or <andrew@databricks.com>
Closes#4409 from andrewor14/dynamic-allocation-interval and squashes the following commits:
d3cc485 [Andrew Or] Lower request interval
- Add meta description tags on some of the most important doc pages
- Shorten the titles of some pages to have more relevant keywords; for
example there's no reason to have "Spark SQL Programming Guide - Spark
1.2.0 documentation", we can just say "Spark SQL - Spark 1.2.0
documentation".
Author: Matei Zaharia <matei@databricks.com>
Closes#4381 from mateiz/docs-seo and squashes the following commits:
4940563 [Matei Zaharia] [SPARK-5608] Improve SEO of Spark documentation pages
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.
SPARK-3883: SSL support for Akka connections and Jetty based file servers.
This story introduced the following changes:
- Introduced SSLOptions object which holds the SSL configuration and can build the appropriate configuration for Akka or Jetty. SSLOptions can be created by parsing SparkConf entries at a specified namespace.
- SSLOptions is created and kept by SecurityManager
- All Akka actor address creation snippets based on interpolated strings were replaced by a dedicated methods from AkkaUtils. Those methods select the proper Akka protocol - whether akka.tcp or akka.ssl.tcp
- Added tests cases for AkkaUtils, FileServer, SSLOptions and SecurityManager
- Added a way to use node local SSL configuration by executors and driver in standalone mode. It can be done by specifying spark.ssl.useNodeLocalConf in SparkConf.
- Made CoarseGrainedExecutorBackend not overwrite the settings which are executor startup configuration - they are passed anyway from Worker
Refer to https://github.com/apache/spark/pull/3571 for discussion and details
Author: Jacek Lewandowski <lewandowski.jacek@gmail.com>
Author: Jacek Lewandowski <jacek.lewandowski@datastax.com>
Closes#3571 from jacek-lewandowski/SPARK-3883-master and squashes the following commits:
9ef4ed1 [Jacek Lewandowski] Merge pull request #2 from jacek-lewandowski/SPARK-3883-docs2
fb31b49 [Jacek Lewandowski] SPARK-3883: Added SSL setup documentation
2532668 [Jacek Lewandowski] SPARK-3883: Refactored AkkaUtils.protocol method to not use Try
90a8762 [Jacek Lewandowski] SPARK-3883: Refactored methods to resolve Akka address and made it possible to easily configure multiple communication layers for SSL
72b2541 [Jacek Lewandowski] SPARK-3883: A reference to the fallback SSLOptions can be provided when constructing SSLOptions
93050f4 [Jacek Lewandowski] SPARK-3883: SSL support for HttpServer and Akka
... initial number
Author: Sandy Ryza <sandy@cloudera.com>
Closes#4051 from sryza/sandy-spark-4585 and squashes the following commits:
d1dd039 [Sandy Ryza] Add spark.dynamicAllocation.initialNumExecutors and make min and max not required
b7c59dc [Sandy Ryza] SPARK-4585. Spark dynamic executor allocation should use minExecutors as initial number
This PR is based on #3255 , fix conflicts and code style.
Closes#3255.
Author: Yandu Oppacher <yandu.oppacher@jadedpixel.com>
Author: Davies Liu <davies@databricks.com>
Closes#3901 from davies/refactor-python-profile-code and squashes the following commits:
b4a9306 [Davies Liu] fix tests
4b79ce8 [Davies Liu] add docstring for profiler_cls
2700e47 [Davies Liu] use BasicProfiler as default
349e341 [Davies Liu] more refactor
6a5d4df [Davies Liu] refactor and fix tests
31bf6b6 [Davies Liu] fix code style
0864b5d [Yandu Oppacher] Remove unused method
76a6c37 [Yandu Oppacher] Added a profile collector to accumulate the profilers per stage
9eefc36 [Yandu Oppacher] Fix doc
9ace076 [Yandu Oppacher] Refactor of profiler, and moved tests around
8739aff [Yandu Oppacher] Code review fixes
9bda3ec [Yandu Oppacher] Refactor profiler code
As per the JIRA. I copied the `spark.executor.extra*` text, but removed info that appears to be specific to the `executor` config and not `driver`.
Author: Sean Owen <sowen@cloudera.com>
Closes#4185 from srowen/SPARK-3852 and squashes the following commits:
f60a8a1 [Sean Owen] Document spark.driver.extra* configs
Based on top of changes in https://github.com/apache/spark/pull/3806.
https://issues.apache.org/jira/browse/SPARK-1507
`--driver-cores` and `spark.driver.cores` for all cluster modes and `spark.yarn.am.cores` for yarn client mode.
Author: WangTaoTheTonic <barneystinson@aliyun.com>
Author: WangTao <barneystinson@aliyun.com>
Closes#4018 from WangTaoTheTonic/SPARK-1507 and squashes the following commits:
01419d3 [WangTaoTheTonic] amend the args name
b255795 [WangTaoTheTonic] indet thing
d86557c [WangTaoTheTonic] some comments amend
43c9392 [WangTao] fix compile error
b39a100 [WangTao] specify # cores for ApplicationMaster
There is a discrepancy in WAL implementation and configuration doc.
Author: uncleGen <hustyugm@gmail.com>
Closes#3930 from uncleGen/master-clean-doc and squashes the following commits:
3a4245f [uncleGen] doc typo
8e407d3 [uncleGen] doc typo
Because major OS page sizes is about 4KB, the default value of spark.storage.memoryMapThreshold is integrated to 2 * 4096
Author: lewuathe <lewuathe@me.com>
Closes#3900 from Lewuathe/integrate-memoryMapThreshold and squashes the following commits:
e417acd [lewuathe] [SPARK-5073] Update docs/configuration
834aba4 [lewuathe] [SPARK-5073] Fix style
adcea33 [lewuathe] [SPARK-5073] Integrate memory map threshold to 2MB
fcce2e5 [lewuathe] [SPARK-5073] spark.storage.memoryMapThreshold have two default value
Author: Reynold Xin <rxin@databricks.com>
Closes#3903 from rxin/timeout-120 and squashes the following commits:
7c2138e [Reynold Xin] [SPARK-5093] Set spark.network.timeout to 120s consistently.
This patch disables output spec. validation for jobs launched through Spark Streaming, since this interferes with checkpoint recovery.
Hadoop OutputFormats have a `checkOutputSpecs` method which performs certain checks prior to writing output, such as checking whether the output directory already exists. SPARK-1100 added checks for FileOutputFormat, SPARK-1677 (#947) added a SparkConf configuration to disable these checks, and SPARK-2309 (#1088) extended these checks to run for all OutputFormats, not just FileOutputFormat.
In Spark Streaming, we might have to re-process a batch during checkpoint recovery, so `save` actions may be called multiple times. In addition to `DStream`'s own save actions, users might use `transform` or `foreachRDD` and call the `RDD` and `PairRDD` save actions. When output spec. validation is enabled, the second calls to these actions will fail due to existing output.
This patch automatically disables output spec. validation for jobs submitted by the Spark Streaming scheduler. This is done by using Scala's `DynamicVariable` to propagate the bypass setting without having to mutate SparkConf or introduce a global variable.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#3832 from JoshRosen/SPARK-4835 and squashes the following commits:
36eaf35 [Josh Rosen] Add comment explaining use of transform() in test.
6485cf8 [Josh Rosen] Add test case in Streaming; fix bug for transform()
7b3e06a [Josh Rosen] Remove Streaming-specific setting to undo this change; update conf. guide
bf9094d [Josh Rosen] Revise disableOutputSpecValidation() comment to not refer to Spark Streaming.
e581d17 [Josh Rosen] Deduplicate isOutputSpecValidationEnabled logic.
762e473 [Josh Rosen] [SPARK-4835] Disable validateOutputSpecs for Spark Streaming jobs.
Author: wangxiaojing <u9jing@gmail.com>
Closes#3818 from wangxiaojing/SPARK-4982 and squashes the following commits:
fe2ad5f [wangxiaojing] change stages to jobs
Once the external shuffle service is also documented, the dynamic allocation section will link to it. Let me know if the whole dynamic allocation should be moved to its separate page; I personally think the organization might be cleaner that way.
This patch builds on top of oza's work in #3689.
aarondav pwendell
Author: Andrew Or <andrew@databricks.com>
Author: Tsuyoshi Ozawa <ozawa.tsuyoshi@gmail.com>
Closes#3731 from andrewor14/document-dynamic-allocation and squashes the following commits:
1281447 [Andrew Or] Address a few comments
b9843f2 [Andrew Or] Document the configs as well
246fb44 [Andrew Or] Merge branch 'SPARK-4839' of github.com:oza/spark into document-dynamic-allocation
8c64004 [Andrew Or] Add documentation for dynamic allocation (without configs)
6827b56 [Tsuyoshi Ozawa] Fixing a documentation of spark.dynamicAllocation.enabled.
53cff58 [Tsuyoshi Ozawa] Adding a documentation about dynamic resource allocation.
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.
...umented default is incorrect for YARN
Author: Sandy Ryza <sandy@cloudera.com>
Closes#3624 from sryza/sandy-spark-4770 and squashes the following commits:
bd81a3a [Sandy Ryza] SPARK-4770. [DOC] [YARN] spark.scheduler.minRegisteredResourcesRatio documented default is incorrect for YARN
The link points to the old scala programming guide; it should point to the submitting applications page.
This should be backported to 1.1.2 (it's been broken as of 1.0).
Author: Kay Ousterhout <kayousterhout@gmail.com>
Closes#3542 from kayousterhout/SPARK-4686 and squashes the following commits:
a8fc43b [Kay Ousterhout] [SPARK-4686] Link to allowed master URLs is broken
The documentation for the two parameters is the same with a pointer from the standalone parameter to the yarn parameter
Author: arahuja <aahuja11@gmail.com>
Closes#3209 from arahuja/yarn-classpath-first-param and squashes the following commits:
51cb9b2 [arahuja] [SPARK-4344][DOCS] adding documentation for YARN on userClassPathFirst
https://issues.apache.org/jira/browse/SPARK-3722
Author: WangTao <barneystinson@aliyun.com>
Closes#2579 from WangTaoTheTonic/docsWork and squashes the following commits:
6f91cec [WangTao] use more wording express
29d22fa [WangTao] delete the specified version link
34cb4ea [WangTao] Update running-on-yarn.md
4ee1a26 [WangTao] minor improvement and fix in docs
Author: Sandy Ryza <sandy@cloudera.com>
Closes#3107 from sryza/sandy-spark-4230 and squashes the following commits:
37a1d19 [Sandy Ryza] Clear up a couple things
34d53de [Sandy Ryza] SPARK-4230. Doc for spark.default.parallelism is incorrect
This is a minor docs update which helps to clarify the way local[n] is used for streaming apps.
Author: jay@apache.org <jayunit100>
Closes#2964 from jayunit100/SPARK-4040 and squashes the following commits:
35b5a5e [jay@apache.org] SPARK-4040: Update documentation to exemplify use of local (n) value.
Note that we're turning this on for at least the first part of the QA period as a trial. We want to enable this (and deprecate the NioBlockTransferService) as soon as possible in the hopes that NettyBlockTransferService will be more stable and easier to maintain. We will turn it off if we run into major issues.
Author: Aaron Davidson <aaron@databricks.com>
Closes#3049 from aarondav/enable-netty and squashes the following commits:
bb981cc [Aaron Davidson] [SPARK-4183] Enable NettyBlockTransferService by default
Right now, operations like collect() and take() can crash the driver with an OOM if they bring back too many data.
This PR will introduce spark.driver.maxResultSize, after setting it, the driver will abort a job if its result is bigger than it.
By default, it's 1g (for backward compatibility for most the cases).
In local mode, the driver and executor share the same JVM, the default setting can not protect JVM from OOM.
cc mateiz
Author: Davies Liu <davies@databricks.com>
Closes#3003 from davies/collect and squashes the following commits:
248ed5e [Davies Liu] fix compile
272522e [Davies Liu] address comments
2c35773 [Davies Liu] add sizes in message of abort()
5d62303 [Davies Liu] address comments
bc3c077 [Davies Liu] Merge branch 'master' of github.com:apache/spark into collect
11f97c5 [Davies Liu] address comments
47b144f [Davies Liu] check the size of result before send and fetch
3d81af2 [Davies Liu] address comments
ca8267d [Davies Liu] limit the size of data by collect
Note that we're turning this on for at least the first part of the QA period as a trial. We want to enable this (and deprecate the NioBlockTransferService) as soon as possible in the hopes that NettyBlockTransferService will be more stable and easier to maintain. We will turn it off if we run into major issues.
Author: Aaron Davidson <aaron@databricks.com>
Closes#3049 from aarondav/enable-netty and squashes the following commits:
bb981cc [Aaron Davidson] [SPARK-4183] Enable NettyBlockTransferService by default
This pull request is a first step towards the implementation of a stable, pull-based progress / status API for Spark (see [SPARK-2321](https://issues.apache.org/jira/browse/SPARK-2321)). For now, I'd like to discuss the basic implementation, API names, and overall interface design. Once we arrive at a good design, I'll go back and add additional methods to expose more information via these API.
#### Design goals:
- Pull-based API
- Usable from Java / Scala / Python (eventually, likely with a wrapper)
- Can be extended to expose more information without introducing binary incompatibilities.
- Returns immutable objects.
- Don't leak any implementation details, preserving our freedom to change the implementation.
#### Implementation:
- Add public methods (`getJobInfo`, `getStageInfo`) to SparkContext to allow status / progress information to be retrieved.
- Add public interfaces (`SparkJobInfo`, `SparkStageInfo`) for our API return values. These interfaces consist entirely of Java-style getter methods. The interfaces are currently implemented in Java. I decided to explicitly separate the interface from its implementation (`SparkJobInfoImpl`, `SparkStageInfoImpl`) in order to prevent users from constructing these responses themselves.
-Allow an existing JobProgressListener to be used when constructing a live SparkUI. This allows us to re-use this listeners in the implementation of this status API. There are a few reasons why this listener re-use makes sense:
- The status API and web UI are guaranteed to show consistent information.
- These listeners are already well-tested.
- The same garbage-collection / information retention configurations can apply to both this API and the web UI.
- Extend JobProgressListener to maintain `jobId -> Job` and `stageId -> Stage` mappings.
The progress API methods are implemented in a separate trait that's mixed into SparkContext. This helps to avoid SparkContext.scala from becoming larger and more difficult to read.
Author: Josh Rosen <joshrosen@databricks.com>
Author: Josh Rosen <joshrosen@apache.org>
Closes#2696 from JoshRosen/progress-reporting-api and squashes the following commits:
e6aa78d [Josh Rosen] Add tests.
b585c16 [Josh Rosen] Accept SparkListenerBus instead of more specific subclasses.
c96402d [Josh Rosen] Address review comments.
2707f98 [Josh Rosen] Expose current stage attempt id
c28ba76 [Josh Rosen] Update demo code:
646ff1d [Josh Rosen] Document spark.ui.retainedJobs.
7f47d6d [Josh Rosen] Clean up SparkUI constructors, per Andrew's feedback.
b77b3d8 [Josh Rosen] Merge remote-tracking branch 'origin/master' into progress-reporting-api
787444c [Josh Rosen] Move status API methods into trait that can be mixed into SparkContext.
f9a9a00 [Josh Rosen] More review comments:
3dc79af [Josh Rosen] Remove creation of unused listeners in SparkContext.
249ca16 [Josh Rosen] Address several review comments:
da5648e [Josh Rosen] Add example of basic progress reporting in Java.
7319ffd [Josh Rosen] Add getJobIdsForGroup() and num*Tasks() methods.
cc568e5 [Josh Rosen] Add note explaining that interfaces should not be implemented outside of Spark.
6e840d4 [Josh Rosen] Remove getter-style names and "consistent snapshot" semantics:
08cbec9 [Josh Rosen] Begin to sketch the interfaces for a stable, public status API.
ac2d13a [Josh Rosen] Add jobId->stage, stageId->stage mappings in JobProgressListener
24de263 [Josh Rosen] Create UI listeners in SparkContext instead of in Tabs:
Author: Sandy Ryza <sandy@cloudera.com>
Closes#789 from sryza/sandy-spark-1813 and squashes the following commits:
48b05e9 [Sandy Ryza] Simplify
b824932 [Sandy Ryza] Allow both spark.kryo.classesToRegister and spark.kryo.registrator at the same time
6a15bb7 [Sandy Ryza] Small fix
a2278c0 [Sandy Ryza] Respond to review comments
6ef592e [Sandy Ryza] SPARK-1813. Add a utility to SparkConf that makes using Kryo really easy
This patch attempts to fix SPARK-2546 in `branch-1.0` and `branch-1.1`. The underlying problem is that thread-safety issues in Hadoop Configuration objects may cause Spark tasks to get stuck in infinite loops. The approach taken here is to clone a new copy of the JobConf for each task rather than sharing a single copy between tasks. Note that there are still Configuration thread-safety issues that may affect the driver, but these seem much less likely to occur in practice and will be more complex to fix (see discussion on the SPARK-2546 ticket).
This cloning is guarded by a new configuration option (`spark.hadoop.cloneConf`) and is disabled by default in order to avoid unexpected performance regressions for workloads that are unaffected by the Configuration thread-safety issues.
Author: Josh Rosen <joshrosen@apache.org>
Closes#2684 from JoshRosen/jobconf-fix-backport and squashes the following commits:
f14f259 [Josh Rosen] Add configuration option to control cloning of Hadoop JobConf.
b562451 [Josh Rosen] Remove unused jobConfCacheKey field.
dd25697 [Josh Rosen] [SPARK-2546] [1.0 / 1.1 backport] Clone JobConf for each task.
(cherry picked from commit 2cd40db2b3)
Signed-off-by: Josh Rosen <joshrosen@databricks.com>
Conflicts:
core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
Introduced in f7e79bc42c, I'm not sure why we need two spark.executor.memory here.
Author: WangTaoTheTonic <barneystinson@aliyun.com>
Author: WangTao <barneystinson@aliyun.com>
Closes#2745 from WangTaoTheTonic/redundantconfig and squashes the following commits:
e7564dc [WangTao] too long line
fdbdb1f [WangTaoTheTonic] trivial workaround
d06b6e5 [WangTaoTheTonic] remove redundant spark.executor.memory in doc
Something about the 2.3.4 upgrade seems to have made the issue manifest where all the services disconnect from each other after exactly 1000 seconds (which is the heartbeat interval). [This post](https://groups.google.com/forum/#!topic/akka-user/X3xzpTCbEFs) suggests that heartbeat pause should be greater than heartbeat interval, and increasing the pause from 600s to 6000s seems to have rectified the issue. My current cluster has now exceeded 1400s of uptime without failure!
I do not know why this fixed it, because the threshold we have set for the failure detector is the exponent of a timeout, and 300 is extremely large. Perhaps the default failure detector changed in 2.3.4 and now ignores threshold.
Author: Aaron Davidson <aaron@databricks.com>
Closes#2784 from aarondav/fix-timeout and squashes the following commits:
bd1151a [Aaron Davidson] Increase pause, don't decrease interval
9cb0372 [Aaron Davidson] [SPARK-3923] Decrease Akka heartbeat interval below heartbeat pause
It took me a minute to track this down, so I thought it could be useful to have it in the docs.
I'm unsure if 512mb is the default for spark.driver.memory? Also - there could be a better value for the 'description' to differentiate it from spark.executor.memory.
Author: nartz <nartzpod@gmail.com>
Author: Nathan Artz <nathanartz@Nathans-MacBook-Pro.local>
Closes#2410 from nartz/docs/add-spark-driver-memory-to-config-docs and squashes the following commits:
a2f6c62 [nartz] Update configuration.md
74521b8 [Nathan Artz] add spark.driver.memory to config docs
Author: Brenden Matthews <brenden@diddyinc.com>
Closes#2401 from brndnmtthws/master and squashes the following commits:
4abaa5d [Brenden Matthews] [SPARK-3535][Mesos] Fix resource handling.
Update of PR #997.
With this PR, setting SPARK_CONF_DIR overrides SPARK_HOME/conf (not only spark-defaults.conf and spark-env).
Author: EugenCepoi <cepoi.eugen@gmail.com>
Closes#2481 from EugenCepoi/SPARK-2058 and squashes the following commits:
0bb32c2 [EugenCepoi] use orElse orNull and fixing trailing percent in compute-classpath.cmd
77f35d7 [EugenCepoi] SPARK-2058: Overriding SPARK_HOME/conf with SPARK_CONF_DIR
Author: scwf <wangfei1@huawei.com>
Closes#2632 from scwf/compress-doc and squashes the following commits:
7983a1a [scwf] snappy is the default compression codec for broadcast
https://issues.apache.org/jira/browse/SPARK-3565
"spark.ports.maxRetries" should be "spark.port.maxRetries". Make the configuration keys in document and code consistent.
Author: WangTaoTheTonic <barneystinson@aliyun.com>
Closes#2427 from WangTaoTheTonic/fixPortRetries and squashes the following commits:
c178813 [WangTaoTheTonic] Use blank lines trigger Jenkins
646f3fe [WangTaoTheTonic] also in SparkBuild.scala
3700dba [WangTaoTheTonic] Fix configuration item not consistent with document
change the value of spark.files.fetchTimeout
Author: viper-kun <xukun.xu@huawei.com>
Closes#2406 from viper-kun/master and squashes the following commits:
ecb0d46 [viper-kun] [Docs] Correct spark.files.fetchTimeout default value
7cf4c7a [viper-kun] Update configuration.md
Reuse Python worker to avoid the overhead of fork() Python process for each tasks. It also tracks the broadcasts for each worker, avoid sending repeated broadcasts.
This can reduce the time for dummy task from 22ms to 13ms (-40%). It can help to reduce the latency for Spark Streaming.
For a job with broadcast (43M after compress):
```
b = sc.broadcast(set(range(30000000)))
print sc.parallelize(range(24000), 100).filter(lambda x: x in b.value).count()
```
It will finish in 281s without reused worker, and it will finish in 65s with reused worker(4 CPUs). After reusing the worker, it can save about 9 seconds for transfer and deserialize the broadcast for each tasks.
It's enabled by default, could be disabled by `spark.python.worker.reuse = false`.
Author: Davies Liu <davies.liu@gmail.com>
Closes#2259 from davies/reuse-worker and squashes the following commits:
f11f617 [Davies Liu] Merge branch 'master' into reuse-worker
3939f20 [Davies Liu] fix bug in serializer in mllib
cf1c55e [Davies Liu] address comments
3133a60 [Davies Liu] fix accumulator with reused worker
760ab1f [Davies Liu] do not reuse worker if there are any exceptions
7abb224 [Davies Liu] refactor: sychronized with itself
ac3206e [Davies Liu] renaming
8911f44 [Davies Liu] synchronized getWorkerBroadcasts()
6325fc1 [Davies Liu] bugfix: bid >= 0
e0131a2 [Davies Liu] fix name of config
583716e [Davies Liu] only reuse completed and not interrupted worker
ace2917 [Davies Liu] kill python worker after timeout
6123d0f [Davies Liu] track broadcasts for each worker
8d2f08c [Davies Liu] reuse python worker
Sort-based shuffle has lower memory usage and seems to outperform hash-based in almost all of our testing.
Author: Reynold Xin <rxin@apache.org>
Closes#2178 from rxin/sort-shuffle and squashes the following commits:
713d341 [Reynold Xin] Fixed test failures by setting spark.shuffle.compress to the same value as spark.shuffle.spill.compress.
85165e6 [Reynold Xin] Fixed a comment typo.
aa0d372 [Reynold Xin] [SPARK-3280] Made sort-based shuffle the default implementation
