## What changes were proposed in this pull request?
1.In `acquireStorageMemory`, when the Memory Mode is OFF_HEAP ,the `maxOffHeapMemory` should be modified to `maxOffHeapStorageMemory`. after this PR,it will same as ON_HEAP Memory Mode.
Because when acquire memory is between `maxOffHeapStorageMemory` and `maxOffHeapMemory`,it will fail surely, so if acquire memory is greater than `maxOffHeapStorageMemory`(not greater than `maxOffHeapMemory`),we should fail fast.
2. Borrow memory from execution, `numBytes` modified to `numBytes - storagePool.memoryFree` will be more reasonable.
Because we just acquire `(numBytes - storagePool.memoryFree)`, unnecessary borrowed `numBytes` from execution
## How was this patch tested?
added unit test case
Author: liuxian <liu.xian3@zte.com.cn>
Closes#18296 from 10110346/wip-lx-0614.
## What changes were proposed in this pull request?
Built-in SQL Function UnaryMinus/UnaryPositive support string type, if it's string type, convert it to double type, after this PR:
```sql
spark-sql> select positive('-1.11'), negative('-1.11');
-1.11 1.11
spark-sql>
```
## How was this patch tested?
unit tests
Author: Yuming Wang <wgyumg@gmail.com>
Closes#18173 from wangyum/SPARK-20948.
## What changes were proposed in this pull request?
Add SQL trunc function
## How was this patch tested?
standard test
Author: actuaryzhang <actuaryzhang10@gmail.com>
Closes#18291 from actuaryzhang/sparkRTrunc2.
## What changes were proposed in this pull request?
This PR proposes to list the files in test _after_ removing both "spark-warehouse" and "metastore_db" so that the next run of R tests pass fine. This is sometimes a bit annoying.
## How was this patch tested?
Manually running multiple times R tests via `./R/run-tests.sh`.
**Before**
Second run:
```
SparkSQL functions: Spark package found in SPARK_HOME: .../spark
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................................................
....................................................................................................1234.......................
Failed -------------------------------------------------------------------------
1. Failure: No extra files are created in SPARK_HOME by starting session and making calls (test_sparkSQL.R#3384)
length(list1) not equal to length(list2).
1/1 mismatches
[1] 25 - 23 == 2
2. Failure: No extra files are created in SPARK_HOME by starting session and making calls (test_sparkSQL.R#3384)
sort(list1, na.last = TRUE) not equal to sort(list2, na.last = TRUE).
10/25 mismatches
x[16]: "metastore_db"
y[16]: "pkg"
x[17]: "pkg"
y[17]: "R"
x[18]: "R"
y[18]: "README.md"
x[19]: "README.md"
y[19]: "run-tests.sh"
x[20]: "run-tests.sh"
y[20]: "SparkR_2.2.0.tar.gz"
x[21]: "metastore_db"
y[21]: "pkg"
x[22]: "pkg"
y[22]: "R"
x[23]: "R"
y[23]: "README.md"
x[24]: "README.md"
y[24]: "run-tests.sh"
x[25]: "run-tests.sh"
y[25]: "SparkR_2.2.0.tar.gz"
3. Failure: No extra files are created in SPARK_HOME by starting session and making calls (test_sparkSQL.R#3388)
length(list1) not equal to length(list2).
1/1 mismatches
[1] 25 - 23 == 2
4. Failure: No extra files are created in SPARK_HOME by starting session and making calls (test_sparkSQL.R#3388)
sort(list1, na.last = TRUE) not equal to sort(list2, na.last = TRUE).
10/25 mismatches
x[16]: "metastore_db"
y[16]: "pkg"
x[17]: "pkg"
y[17]: "R"
x[18]: "R"
y[18]: "README.md"
x[19]: "README.md"
y[19]: "run-tests.sh"
x[20]: "run-tests.sh"
y[20]: "SparkR_2.2.0.tar.gz"
x[21]: "metastore_db"
y[21]: "pkg"
x[22]: "pkg"
y[22]: "R"
x[23]: "R"
y[23]: "README.md"
x[24]: "README.md"
y[24]: "run-tests.sh"
x[25]: "run-tests.sh"
y[25]: "SparkR_2.2.0.tar.gz"
DONE ===========================================================================
```
**After**
Second run:
```
SparkSQL functions: Spark package found in SPARK_HOME: .../spark
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................................................
...............................................................................................................................
```
Author: hyukjinkwon <gurwls223@gmail.com>
Closes#18335 from HyukjinKwon/SPARK-21128.
## What changes were proposed in this pull request?
This PR proposes three things as below:
**Install packages per documentation** - this does not affect the tests itself (but CRAN which we are not doing via AppVeyor) up to my knowledge.
This adds `knitr` and `rmarkdown` per 45824fb608/R/WINDOWS.md (unit-tests) (please see 45824fb608)
**Improve logs/shorten logs** - actually, long logs can be a problem on AppVeyor (e.g., see https://github.com/apache/spark/pull/17873)
`R -e ...` repeats printing R information for each invocation as below:
```
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
```
It looks reducing the call might be slightly better and print out the versions together looks more readable.
Before:
```
# R information ...
> packageVersion('testthat')
[1] '1.0.2'
>
>
# R information ...
> packageVersion('e1071')
[1] '1.6.8'
>
>
... 3 more times
```
After:
```
# R information ...
> packageVersion('knitr'); packageVersion('rmarkdown'); packageVersion('testthat'); packageVersion('e1071'); packageVersion('survival')
[1] ‘1.16’
[1] ‘1.6’
[1] ‘1.0.2’
[1] ‘1.6.8’
[1] ‘2.41.3’
```
**Add`appveyor.yml`/`dev/appveyor-install-dependencies.ps1` for triggering the test**
Changing this file might break the test, e.g., https://github.com/apache/spark/pull/16927
## How was this patch tested?
Before (please see https://ci.appveyor.com/project/HyukjinKwon/spark/build/169-master)
After (please see the AppVeyor build in this PR):
Author: hyukjinkwon <gurwls223@gmail.com>
Closes#18336 from HyukjinKwon/minor-add-knitr-and-rmarkdown.
## What changes were proposed in this pull request?
“spark.eventLog.dir” supports with space characters.
1. Update EventLoggingListenerSuite like `testDir = Utils.createTempDir(namePrefix = s"history log")`
2. Fix EventLoggingListenerSuite tests
## How was this patch tested?
update unit tests
Author: zuotingbing <zuo.tingbing9@zte.com.cn>
Closes#18285 from zuotingbing/spark-resolveURI.
## What changes were proposed in this pull request?
Previous code mistakenly use `table.properties.get("comment")` to read the existing table comment, we should use `table.comment`
## How was this patch tested?
new regression test
Author: Wenchen Fan <wenchen@databricks.com>
Closes#18325 from cloud-fan/unset.
## What changes were proposed in this pull request?
In current code, blockIds in `OpenBlocks` are stored in the iterator on shuffle service.
There are some redundant characters in blockId(`"shuffle_" + shuffleId + "_" + mapId + "_" + reduceId`). This pr proposes to improve the footprint and alleviate the memory pressure on shuffle service.
Author: jinxing <jinxing6042@126.com>
Closes#18231 from jinxing64/SPARK-20994-v2.
## What changes were proposed in this pull request?
Update Running R Tests dependence packages to:
```bash
R -e "install.packages(c('knitr', 'rmarkdown', 'testthat', 'e1071', 'survival'), repos='http://cran.us.r-project.org')"
```
## How was this patch tested?
manual tests
Author: Yuming Wang <wgyumg@gmail.com>
Closes#18271 from wangyum/building-spark.
## What changes were proposed in this pull request?
This PR adds built-in SQL function `BIT_LENGTH()`, `CHAR_LENGTH()`, and `OCTET_LENGTH()` functions.
`BIT_LENGTH()` returns the bit length of the given string or binary expression.
`CHAR_LENGTH()` returns the length of the given string or binary expression. (i.e. equal to `LENGTH()`)
`OCTET_LENGTH()` returns the byte length of the given string or binary expression.
## How was this patch tested?
Added new test suites for these three functions
Author: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Closes#18046 from kiszk/SPARK-20749.
### What changes were proposed in this pull request?
`ALTER TABLE SET TBLPROPERTIES` should not overwrite `COMMENT` even if the input property does not have the property of `COMMENT`. This PR is to fix the issue.
### How was this patch tested?
Covered by the existing tests.
Author: Xiao Li <gatorsmile@gmail.com>
Closes#18318 from gatorsmile/fixTableComment.
## What changes were proposed in this pull request?
Move Hadoop delegation token code from `spark-yarn` to `spark-core`, so that other schedulers (such as Mesos), may use it. In order to avoid exposing Hadoop interfaces in spark-core, the new Hadoop delegation token classes are kept private. In order to provider backward compatiblity, and to allow YARN users to continue to load their own delegation token providers via Java service loading, the old YARN interfaces, as well as the client code that uses them, have been retained.
Summary:
- Move registered `yarn.security.ServiceCredentialProvider` classes from `spark-yarn` to `spark-core`. Moved them into a new, private hierarchy under `HadoopDelegationTokenProvider`. Client code in `HadoopDelegationTokenManager` now loads credentials from a whitelist of three providers (`HadoopFSDelegationTokenProvider`, `HiveDelegationTokenProvider`, `HBaseDelegationTokenProvider`), instead of service loading, which means that users are not able to implement their own delegation token providers, as they are in the `spark-yarn` module.
- The `yarn.security.ServiceCredentialProvider` interface has been kept for backwards compatibility, and to continue to allow YARN users to implement their own delegation token provider implementations. Client code in YARN now fetches tokens via the new `YARNHadoopDelegationTokenManager` class, which fetches tokens from the core providers through `HadoopDelegationTokenManager`, as well as service loads them from `yarn.security.ServiceCredentialProvider`.
Old Hierarchy:
```
yarn.security.ServiceCredentialProvider (service loaded)
HadoopFSCredentialProvider
HiveCredentialProvider
HBaseCredentialProvider
yarn.security.ConfigurableCredentialManager
```
New Hierarchy:
```
HadoopDelegationTokenManager
HadoopDelegationTokenProvider (not service loaded)
HadoopFSDelegationTokenProvider
HiveDelegationTokenProvider
HBaseDelegationTokenProvider
yarn.security.ServiceCredentialProvider (service loaded)
yarn.security.YARNHadoopDelegationTokenManager
```
## How was this patch tested?
unit tests
Author: Michael Gummelt <mgummelt@mesosphere.io>
Author: Dr. Stefan Schimanski <sttts@mesosphere.io>
Closes#17723 from mgummelt/SPARK-20434-refactor-kerberos.
## What changes were proposed in this pull request?
Currently we don't wait to confirm the removal of the block from the slave's BlockManager, if the removal takes too much time, we will fail the assertion in this test case.
The failure can be easily reproduced if we sleep for a while before we remove the block in BlockManagerSlaveEndpoint.receiveAndReply().
## How was this patch tested?
N/A
Author: Xingbo Jiang <xingbo.jiang@databricks.com>
Closes#18314 from jiangxb1987/LocalCheckpointSuite.
## What changes were proposed in this pull request?
doc only change
## How was this patch tested?
manually
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#18312 from felixcheung/sqljsonwholefiledoc.
## What changes were proposed in this pull request?
This pull-request exclusively includes the class splitting feature described in #16648. When code for a given class would grow beyond 1600k bytes, a private, nested sub-class is generated into which subsequent functions are inlined. Additional sub-classes are generated as the code threshold is met subsequent times. This code includes 3 changes:
1. Includes helper maps, lists, and functions for keeping track of sub-classes during code generation (included in the `CodeGenerator` class). These helper functions allow nested classes and split functions to be initialized/declared/inlined to the appropriate locations in the various projection classes.
2. Changes `addNewFunction` to return a string to support instances where a split function is inlined to a nested class and not the outer class (and so must be invoked using the class-qualified name). Uses of `addNewFunction` throughout the codebase are modified so that the returned name is properly used.
3. Removes instances of the `this` keyword when used on data inside generated classes. All state declared in the outer class is by default global and accessible to the nested classes. However, if a reference to global state in a nested class is prepended with the `this` keyword, it would attempt to reference state belonging to the nested class (which would not exist), rather than the correct variable belonging to the outer class.
## How was this patch tested?
Added a test case to the `GeneratedProjectionSuite` that increases the number of columns tested in various projections to a threshold that would previously have triggered a `JaninoRuntimeException` for the Constant Pool.
Note: This PR does not address the second Constant Pool issue with code generation (also mentioned in #16648): excess global mutable state. A second PR may be opened to resolve that issue.
Author: ALeksander Eskilson <alek.eskilson@cerner.com>
Closes#18075 from bdrillard/class_splitting_only.
### What changes were proposed in this pull request?
The current option name `wholeFile` is misleading for CSV users. Currently, it is not representing a record per file. Actually, one file could have multiple records. Thus, we should rename it. Now, the proposal is `multiLine`.
### How was this patch tested?
N/A
Author: Xiao Li <gatorsmile@gmail.com>
Closes#18202 from gatorsmile/renameCVSOption.
## What changes were proposed in this pull request?
It is really painful to not have configs in logical plan and expressions. We had to add all sorts of hacks (e.g. pass SQLConf explicitly in functions). This patch exposes SQLConf in logical plan, using a thread local variable and a getter closure that's set once there is an active SparkSession.
The implementation is a bit of a hack, since we didn't anticipate this need in the beginning (config was only exposed in physical plan). The implementation is described in `SQLConf.get`.
In terms of future work, we should follow up to clean up CBO (remove the need for passing in config).
## How was this patch tested?
Updated relevant tests for constraint propagation.
Author: Reynold Xin <rxin@databricks.com>
Closes#18299 from rxin/SPARK-21092.
## What changes were proposed in this pull request?
This patch moves constraint related code into a separate trait QueryPlanConstraints, so we don't litter QueryPlan with a lot of constraint private functions.
## How was this patch tested?
This is a simple move refactoring and should be covered by existing tests.
Author: Reynold Xin <rxin@databricks.com>
Closes#18298 from rxin/SPARK-21091.
### What changes were proposed in this pull request?
Since both table properties and storage properties share the same key values, table properties are not shown in the output of DESC EXTENDED/FORMATTED when the storage properties are not empty.
This PR is to fix the above issue by renaming them to different keys.
### How was this patch tested?
Added test cases.
Author: Xiao Li <gatorsmile@gmail.com>
Closes#18294 from gatorsmile/tableProperties.
### What changes were proposed in this pull request?
Before the PR, Spark is unable to read the partitioned table created by Spark 2.1 when the table schema does not put the partitioning column at the end of the schema.
[assert(partitionFields.map(_.name) == partitionColumnNames)](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/interface.scala#L234-L236)
When reading the table metadata from the metastore, we also need to reorder the columns.
### How was this patch tested?
Added test cases to check both Hive-serde and data source tables.
Author: gatorsmile <gatorsmile@gmail.com>
Closes#18295 from gatorsmile/reorderReadSchema.
## What changes were proposed in this pull request?
Use Poisson analysis for approx count in all cases.
## How was this patch tested?
Existing tests.
Author: Sean Owen <sowen@cloudera.com>
Closes#18276 from srowen/SPARK-21057.
## What changes were proposed in this pull request?
Currently, when we detect fetch failure, we only remove the shuffle files produced by the executor, while the host itself might be down and all the shuffle files are not accessible. In case we are running multiple executors on a host, any host going down currently results in multiple fetch failures and multiple retries of the stage, which is very inefficient. If we remove all the shuffle files on that host, on first fetch failure, we can rerun all the tasks on that host in a single stage retry.
## How was this patch tested?
Unit testing and also ran a job on the cluster and made sure multiple retries are gone.
Author: Sital Kedia <skedia@fb.com>
Author: Imran Rashid <irashid@cloudera.com>
Closes#18150 from sitalkedia/cleanup_shuffle.
## What changes were proposed in this pull request?
After PruneFileSourcePartitions rule, It needs reset table's statistics because PruneFileSourcePartitions can filter some unnecessary partitions. So the statistics need to be changed.
## How was this patch tested?
add unit test.
Author: lianhuiwang <lianhuiwang09@gmail.com>
Closes#18205 from lianhuiwang/SPARK-20986.
Currently in Standalone HA mode, the resource usage of driver is not correctly counted in Master when recovering from failure, this will lead to some unexpected behaviors like negative value in UI.
So here fix this to also count the driver's resource usage.
Also changing the recovered app's state to `RUNNING` when fully recovered. Previously it will always be WAITING even fully recovered.
andrewor14 please help to review, thanks a lot.
Author: jerryshao <sshao@hortonworks.com>
Closes#10506 from jerryshao/SPARK-12552.
## What changes were proposed in this pull request?
When converting `string` to `number`(int, long or double), if the string has a space before or after,will lead to unnecessary mistakes.
## How was this patch tested?
unit test
Author: liuxian <liu.xian3@zte.com.cn>
Closes#18238 from 10110346/lx-wip-0608.
## What changes were proposed in this pull request?
This adds the average hash map probe metrics to hash aggregate.
`BytesToBytesMap` already has API to get the metrics, this PR adds an API to `UnsafeFixedWidthAggregationMap` to access it.
Preparing a test for this metrics seems tricky, because we don't know what collision keys are. For now, the test case generates random data large enough to have desired probe.
TODO in later PR: add hash map metrics to join.
## How was this patch tested?
Added test to SQLMetricsSuite.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#18258 from viirya/SPARK-20953.
## What changes were proposed in this pull request?
The default value for `spark.port.maxRetries` is 100,
but we use 10 in the suite file.
So we change it to 100 to avoid test failure.
## How was this patch tested?
No test
Author: DjvuLee <lihu@bytedance.com>
Closes#18280 from djvulee/NettyTestBug.
## What changes were proposed in this pull request?
To use treeAggregate instead of aggregate in DataFrame.stat.bloomFilter to parallelize the operation of merging the bloom filters
(Please fill in changes proposed in this fix)
## How was this patch tested?
unit tests passed
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)
Please review http://spark.apache.org/contributing.html before opening a pull request.
Author: Rishabh Bhardwaj <rbnext29@gmail.com>
Author: Rishabh Bhardwaj <admin@rishabh.local>
Author: Rishabh Bhardwaj <r0b00ko@rishabh.Dlink>
Author: Rishabh Bhardwaj <admin@Admins-MacBook-Pro.local>
Author: Rishabh Bhardwaj <r0b00ko@rishabh.local>
Closes#18263 from rishabhbhardwaj/SPARK-21039.
## What changes were proposed in this pull request?
Create rpcEnv and run later needs shutdown. as #18226
## How was this patch tested?
unit test
Author: liuxian <liu.xian3@zte.com.cn>
Closes#18259 from 10110346/wip-lx-0610.
## What changes were proposed in this pull request?
Don't leave thread pool running from AlterTableRecoverPartitionsCommand DDL command
## How was this patch tested?
Existing tests.
Author: Sean Owen <sowen@cloudera.com>
Closes#18216 from srowen/SPARK-20920.
## What changes were proposed in this pull request?
Fix test file path. This is broken in #18264 and undetected since R-only changes don't build core and subsequent post-commit with the change built fine (again because it wasn't building core)
actually appveyor builds everything but it's not running scala suites ...
## How was this patch tested?
jenkins
srowen gatorsmile
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes#18283 from felixcheung/rsubmitsuite.
## What changes were proposed in this pull request?
Since `stack` function generates a table with nullable columns, it should allow mixed null values.
```scala
scala> sql("select stack(3, 1, 2, 3)").printSchema
root
|-- col0: integer (nullable = true)
scala> sql("select stack(3, 1, 2, null)").printSchema
org.apache.spark.sql.AnalysisException: cannot resolve 'stack(3, 1, 2, NULL)' due to data type mismatch: Argument 1 (IntegerType) != Argument 3 (NullType); line 1 pos 7;
```
## How was this patch tested?
Pass the Jenkins with a new test case.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#17251 from dongjoon-hyun/SPARK-19910.
## What changes were proposed in this pull request?
This PR adds RateSource for Structured Streaming so that the user can use it to generate data for tests and benchmark easily.
This source generates increment long values with timestamps. Each generated row has two columns: a timestamp column for the generated time and an auto increment long column starting with 0L.
It supports the following options:
- `rowsPerSecond` (e.g. 100, default: 1): How many rows should be generated per second.
- `rampUpTime` (e.g. 5s, default: 0s): How long to ramp up before the generating speed becomes `rowsPerSecond`. Using finer granularities than seconds will be truncated to integer seconds.
- `numPartitions` (e.g. 10, default: Spark's default parallelism): The partition number for the generated rows. The source will try its best to reach `rowsPerSecond`, but the query may be resource constrained, and `numPartitions` can be tweaked to help reach the desired speed.
Here is a simple example that prints 10 rows per seconds:
```
spark.readStream
.format("rate")
.option("rowsPerSecond", "10")
.load()
.writeStream
.format("console")
.start()
```
The idea came from marmbrus and he did the initial work.
## How was this patch tested?
The added tests.
Author: Shixiong Zhu <shixiong@databricks.com>
Author: Michael Armbrust <michael@databricks.com>
Closes#18199 from zsxwing/rate.
## What changes were proposed in this pull request?
The method calculateNumberOfPartitions() uses Int, not Long (unlike the MLlib version), so it is very easily to have an overflow in calculating the number of partitions for ML persistence.
This modifies the calculations to use Long.
## How was this patch tested?
New unit test. I verified that the test fails before this patch.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#18265 from jkbradley/word2vec-save-fix.
## What changes were proposed in this pull request?
This patch fixes a bug that can cause NullPointerException in LikeSimplification, when the pattern for like is null.
## How was this patch tested?
Added a new unit test case in LikeSimplificationSuite.
Author: Reynold Xin <rxin@databricks.com>
Closes#18273 from rxin/SPARK-21059.
## What changes were proposed in this pull request?
[SPARK-5100](343d3bfafd) added Spark Thrift Server(STS) UI and the following logic to handle exceptions on case `Throwable`.
```scala
HiveThriftServer2.listener.onStatementError(
statementId, e.getMessage, SparkUtils.exceptionString(e))
```
However, there occurred a missed case after implementing [SPARK-6964](eb19d3f75c)'s `Support Cancellation in the Thrift Server` by adding case `HiveSQLException` before case `Throwable`.
```scala
case e: HiveSQLException =>
if (getStatus().getState() == OperationState.CANCELED) {
return
} else {
setState(OperationState.ERROR)
throw e
}
// Actually do need to catch Throwable as some failures don't inherit from Exception and
// HiveServer will silently swallow them.
case e: Throwable =>
val currentState = getStatus().getState()
logError(s"Error executing query, currentState $currentState, ", e)
setState(OperationState.ERROR)
HiveThriftServer2.listener.onStatementError(
statementId, e.getMessage, SparkUtils.exceptionString(e))
throw new HiveSQLException(e.toString)
```
Logically, we had better add `HiveThriftServer2.listener.onStatementError` on case `HiveSQLException`, too.
## How was this patch tested?
N/A
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#17643 from dongjoon-hyun/SPARK-20345.
The PR contains a tiny change to fix the way Spark parses string literals into timestamps. Currently, some timestamps that contain nanoseconds are corrupted during the conversion from internal UTF8Strings into the internal representation of timestamps.
Consider the following example:
```
spark.sql("SELECT cast('2015-01-02 00:00:00.000000001' as TIMESTAMP)").show(false)
+------------------------------------------------+
|CAST(2015-01-02 00:00:00.000000001 AS TIMESTAMP)|
+------------------------------------------------+
|2015-01-02 00:00:00.000001 |
+------------------------------------------------+
```
The fix was tested with existing tests. Also, there is a new test to cover cases that did not work previously.
Author: aokolnychyi <anton.okolnychyi@sap.com>
Closes#18252 from aokolnychyi/spark-17914.
## What changes were proposed in this pull request?
Currently when a `ColumnVector` stores array type elements, we will use 2 arrays for lengths and offsets and implement them individually in on-heap and off-heap column vector.
In this PR, we use one array to represent both offsets and lengths, so that we can treat it as `ColumnVector` and all the logic can go to the base class `ColumnVector`
## How was this patch tested?
existing tests.
Author: Wenchen Fan <wenchen@databricks.com>
Closes#18260 from cloud-fan/put.
## What changes were proposed in this pull request?
This PR fixes the inconsistency in `SparkSession.range`.
**BEFORE**
```scala
scala> spark.range(java.lang.Long.MAX_VALUE - 3, java.lang.Long.MIN_VALUE + 2, 1).collect
res2: Array[Long] = Array(9223372036854775804, 9223372036854775805, 9223372036854775806)
```
**AFTER**
```scala
scala> spark.range(java.lang.Long.MAX_VALUE - 3, java.lang.Long.MIN_VALUE + 2, 1).collect
res2: Array[Long] = Array()
```
## How was this patch tested?
Pass the Jenkins with newly added test cases.
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes#18257 from dongjoon-hyun/SPARK-21041.
