just write the arguments into unsafe row and use murmur3 to calculate hash code
Author: Wenchen Fan <wenchen@databricks.com>
Closes#10435 from cloud-fan/hash-expr.
Currently, when we call corr or cov on dataframe with invalid input we see these error messages for both corr and cov:
- "Currently cov supports calculating the covariance between two columns"
- "Covariance calculation for columns with dataType "[DataType Name]" not supported."
I've fixed this issue by passing the function name as an argument. We could also do the input checks separately for each function. I avoided doing that because of code duplication.
Thanks!
Author: Narine Kokhlikyan <narine.kokhlikyan@gmail.com>
Closes#10458 from NarineK/sparksqlstatsmessages.
The reader was previously not setting the row length meaning it was wrong if there were variable
length columns. This problem does not manifest usually, since the value in the column is correct and
projecting the row fixes the issue.
Author: Nong Li <nong@databricks.com>
Closes#10576 from nongli/spark-12589.
This PR enable cube/rollup as function, so they can be used as this:
```
select a, b, sum(c) from t group by rollup(a, b)
```
Author: Davies Liu <davies@databricks.com>
Closes#10522 from davies/rollup.
DecisionTreeRegressor will provide variance of prediction as a Double column.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#8866 from yanboliang/spark-9622.
It is currently possible to change the values of the supposedly immutable ```GenericRow``` and ```GenericInternalRow``` classes. This is caused by the fact that scala's ArrayOps ```toArray``` (returned by calling ```toSeq```) will return the backing array instead of a copy. This PR fixes this problem.
This PR was inspired by https://github.com/apache/spark/pull/10374 by apo1.
cc apo1 sarutak marmbrus cloud-fan nongli (everyone in the previous conversation).
Author: Herman van Hovell <hvanhovell@questtec.nl>
Closes#10553 from hvanhovell/SPARK-12421.
Before #9264, submitJob would create a separate thread to wait for the job result. `submitJobThreadPool` was a workaround in `ReceiverTracker` to run these waiting-job-result threads. Now #9264 has been merged to master and resolved this blocking issue, `submitJobThreadPool` can be removed now.
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10560 from zsxwing/remove-submitJobThreadPool.
Spark SQL's JDBC data source allows users to specify an explicit JDBC driver to load (using the `driver` argument), but in the current code it's possible that the user-specified driver will not be used when it comes time to actually create a JDBC connection.
In a nutshell, the problem is that you might have multiple JDBC drivers on the classpath that claim to be able to handle the same subprotocol, so simply registering the user-provided driver class with the our `DriverRegistry` and JDBC's `DriverManager` is not sufficient to ensure that it's actually used when creating the JDBC connection.
This patch addresses this issue by first registering the user-specified driver with the DriverManager, then iterating over the driver manager's loaded drivers in order to obtain the correct driver and use it to create a connection (previously, we just called `DriverManager.getConnection()` directly).
If a user did not specify a JDBC driver to use, then we call `DriverManager.getDriver` to figure out the class of the driver to use, then pass that class's name to executors; this guards against corner-case bugs in situations where the driver and executor JVMs might have different sets of JDBC drivers on their classpaths (previously, there was the (rare) potential for `DriverManager.getConnection()` to use different drivers on the driver and executors if the user had not explicitly specified a JDBC driver class and the classpaths were different).
This patch is inspired by a similar patch that I made to the `spark-redshift` library (https://github.com/databricks/spark-redshift/pull/143), which contains its own modified fork of some of Spark's JDBC data source code (for cross-Spark-version compatibility reasons).
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10519 from JoshRosen/jdbc-driver-precedence.
This patch updates the ExecutorRunner's terminate path to use the new java 8 API
to terminate processes more forcefully if possible. If the executor is unhealthy,
it would previously ignore the destroy() call. Presumably, the new java API was
added to handle cases like this.
We could update the termination path in the future to use OS specific commands
for older java versions.
Author: Nong Li <nong@databricks.com>
Closes#10438 from nongli/spark-12486-executors.
Explicitly close client side socket connection before restart socket receiver.
Author: guoxu1231 <guoxu1231@gmail.com>
Author: Shawn Guo <guoxu1231@gmail.com>
Closes#10464 from guoxu1231/SPARK-12513.
This patch aims to fix another potential source of flakiness in the `dev/test-dependencies.sh` script.
pwendell's original patch and my version used `$(date +%s | tail -c6)` to generate a suffix to use when installing temporary Spark versions into the local Maven cache, but this value only changes once per second and thus is highly collision-prone when concurrent builds launch on AMPLab Jenkins. In order to reduce the potential for conflicts, this patch updates the script to call Python's random number generator instead.
I also fixed a bug in how we captured the original project version; the bug was causing the exit handler code to fail.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10558 from JoshRosen/build-dep-tests-round-3.
There are a couple of places in the `dev/run-tests-*.py` scripts which deal with Hadoop profiles, but the set of profiles that they handle does not include all Hadoop profiles defined in our POM. Similarly, the `hadoop-2.2` and `hadoop-2.6` profiles were missing from `dev/deps`.
This patch updates these scripts to include all four Hadoop profiles defined in our POM.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10565 from JoshRosen/add-missing-hadoop-profiles-in-test-scripts.
Previously (when the PR was first created) not specifying b= explicitly was fine (and treated as default null) - instead be explicit about b being None in the test.
Author: Holden Karau <holden@us.ibm.com>
Closes#10564 from holdenk/SPARK-12611-fix-test-infer-schema-local.
We can provides the option to choose JSON parser can be enabled to accept quoting of all character or not.
Author: Cazen <Cazen@korea.com>
Author: Cazen Lee <cazen.lee@samsung.com>
Author: Cazen Lee <Cazen@korea.com>
Author: cazen.lee <cazen.lee@samsung.com>
Closes#10497 from Cazen/master.
Avoiding the the No such table exception and throwing analysis exception as per the bug: SPARK-12533
Author: thomastechs <thomas.sebastian@tcs.com>
Closes#10529 from thomastechs/topic-branch.
callUDF has been deprecated. However, we do not have an alternative for users to specify the output data type without type tags. This pull request introduced a new API for that, and replaces the invocation of the deprecated callUDF with that.
Author: Reynold Xin <rxin@databricks.com>
Closes#10547 from rxin/SPARK-12599.
This PR is followed by https://github.com/apache/spark/pull/8391.
Previous PR fixes JDBCRDD to support null-safe equality comparison for JDBC datasource. This PR fixes the problem that it can actually return null as a result of the comparison resulting error as using the value of that comparison.
Author: hyukjinkwon <gurwls223@gmail.com>
Author: HyukjinKwon <gurwls223@gmail.com>
Closes#8743 from HyukjinKwon/SPARK-10180.
This PR inlines the Hive SQL parser in Spark SQL.
The previous (merged) incarnation of this PR passed all tests, but had and still has problems with the build. These problems are caused by a the fact that - for some reason - in some cases the ANTLR generated code is not included in the compilation fase.
This PR is a WIP and should not be merged until we have sorted out the build issues.
Author: Herman van Hovell <hvanhovell@questtec.nl>
Author: Nong Li <nong@databricks.com>
Author: Nong Li <nongli@gmail.com>
Closes#10525 from hvanhovell/SPARK-12362.
It's confusing that some operator output UnsafeRow but some not, easy to make mistake.
This PR change to only output UnsafeRow for all the operators (SparkPlan), removed the rule to insert Unsafe/Safe conversions. For those that can't output UnsafeRow directly, added UnsafeProjection into them.
Closes#10330
cc JoshRosen rxin
Author: Davies Liu <davies@databricks.com>
Closes#10511 from davies/unsafe_row.
There's a hack done in `TestHive.reset()`, which intended to mute noisy Hive loggers. However, Spark testing loggers are also muted.
Author: Cheng Lian <lian@databricks.com>
Closes#10540 from liancheng/spark-12592.dont-mute-spark-loggers.
This patch refactors the filter pushdown for JDBCRDD and also adds few filters.
Added filters are basically from #10468 with some refactoring. Test cases are from #10468.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#10470 from viirya/refactor-jdbc-filter.
A slight adjustment to the checker configuration was needed; there is
a handful of warnings still left, but those are because of a bug in
the checker that I'll fix separately (before enabling errors for the
checker, of course).
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#10535 from vanzin/SPARK-3873-mllib.
This patch includes multiple fixes for the `dev/test-dependencies.sh` script (which was introduced in #10461):
- Use `build/mvn --force` instead of `mvn` in one additional place.
- Explicitly set a zero exit code on success.
- Set `LC_ALL=C` to make `sort` results agree across machines (see https://stackoverflow.com/questions/28881/).
- Set `should_run_build_tests=True` for `build` module (this somehow got lost).
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10543 from JoshRosen/dep-script-fixes.
Also included a few miscelaneous other modules that had very few violations.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#10532 from vanzin/SPARK-3873-streaming.
### Remove AkkaRpcEnv
Keep `SparkEnv.actorSystem` because Streaming still uses it. Will remove it and AkkaUtils after refactoring Streaming actorStream API.
### Remove systemName
There are 2 places using `systemName`:
* `RpcEnvConfig.name`. Actually, although it's used as `systemName` in `AkkaRpcEnv`, `NettyRpcEnv` uses it as the service name to output the log `Successfully started service *** on port ***`. Since the service name in log is useful, I keep `RpcEnvConfig.name`.
* `def setupEndpointRef(systemName: String, address: RpcAddress, endpointName: String)`. Each `ActorSystem` has a `systemName`. Akka requires `systemName` in its URI and will refuse a connection if `systemName` is not matched. However, `NettyRpcEnv` doesn't use it. So we can remove `systemName` from `setupEndpointRef` since we are removing `AkkaRpcEnv`.
### Remove RpcEnv.uriOf
`uriOf` exists because Akka uses different URI formats for with and without authentication, e.g., `akka.ssl.tcp...` and `akka.tcp://...`. But `NettyRpcEnv` uses the same format. So it's not necessary after removing `AkkaRpcEnv`.
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10459 from zsxwing/remove-akka-rpc-env.
Right now, numFields will be passed in by pointTo(), then bitSetWidthInBytes is calculated, making pointTo() a little bit heavy.
It should be part of constructor of UnsafeRow.
Author: Davies Liu <davies@databricks.com>
Closes#10528 from davies/numFields.
It was research code and has been deprecated since 1.0.0. No one really uses it since they can just use event logging.
Author: Reynold Xin <rxin@databricks.com>
Closes#10530 from rxin/SPARK-12561.
We switched to TorrentBroadcast in Spark 1.1, and HttpBroadcast has been undocumented since then. It's time to remove it in Spark 2.0.
Author: Reynold Xin <rxin@databricks.com>
Closes#10531 from rxin/SPARK-12588.
I got an exception when accessing the below REST API with an unknown application Id.
`http://<server-url>:18080/api/v1/applications/xxx/jobs`
Instead of an exception, I expect an error message "no such app: xxx" which is a similar error message when I access `/api/v1/applications/xxx`
```
org.spark-project.guava.util.concurrent.UncheckedExecutionException: java.util.NoSuchElementException: no app with key xxx
at org.spark-project.guava.cache.LocalCache$Segment.get(LocalCache.java:2263)
at org.spark-project.guava.cache.LocalCache.get(LocalCache.java:4000)
at org.spark-project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
at org.spark-project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
at org.apache.spark.deploy.history.HistoryServer.getSparkUI(HistoryServer.scala:116)
at org.apache.spark.status.api.v1.UIRoot$class.withSparkUI(ApiRootResource.scala:226)
at org.apache.spark.deploy.history.HistoryServer.withSparkUI(HistoryServer.scala:46)
at org.apache.spark.status.api.v1.ApiRootResource.getJobs(ApiRootResource.scala:66)
```
Author: Carson Wang <carson.wang@intel.com>
Closes#10352 from carsonwang/unknownAppFix.
