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Sort listed files by name. Use local files for WAL tests. #19

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merged 1 commit into from
Oct 23, 2014

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before {
pathForTest = hdfsUrl + getRandomString()
tempDir = Files.createTempDir()
dirForTest = "file:///" + tempDir.toString
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Good! Thats what i had in mind when I had asked to put all common initializations in before - both file and dir initialized here.

tdas added a commit that referenced this pull request Oct 23, 2014
Sort listed files by name. Use local files for WAL tests.
@tdas tdas merged commit 3881706 into tdas:driver-ha-wal Oct 23, 2014
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tdas commented Oct 23, 2014

Thanks man!!! This was awesome!! Just using LocalFileSystem from HDFS. Didnt think that the flush of that will work.

tdas pushed a commit that referenced this pull request Oct 24, 2014
As part of the effort to avoid data loss on Spark Streaming driver failure, we want to implement a write ahead log that can write received data to HDFS. This allows the received data to be persist across driver failures. So when the streaming driver is restarted, it can find and reprocess all the data that were received but not processed.

This was primarily implemented by @harishreedharan. This is still WIP, as he is going to improve the unitests by using HDFS mini cluster.

Author: Hari Shreedharan <hshreedharan@apache.org>
Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes apache#2882 from tdas/driver-ha-wal and squashes the following commits:

e4bee20 [Tathagata Das] Removed synchronized, Path.getFileSystem is threadsafe
55514e2 [Tathagata Das] Minor changes based on PR comments.
d29fddd [Tathagata Das] Merge pull request #20 from harishreedharan/driver-ha-wal
a317a4d [Hari Shreedharan] Directory deletion should not fail tests
9514dc8 [Tathagata Das] Added unit tests to test reading of corrupted data and other minor edits
3881706 [Tathagata Das] Merge pull request #19 from harishreedharan/driver-ha-wal
4705fff [Hari Shreedharan] Sort listed files by name. Use local files for WAL tests.
eb356ca [Tathagata Das] Merge pull request #18 from harishreedharan/driver-ha-wal
82ce56e [Hari Shreedharan] Fix file ordering issue in WALManager tests
5ff90ee [Hari Shreedharan] Fix tests to not ignore ordering and also assert all data is present
ef8db09 [Tathagata Das] Merge pull request #17 from harishreedharan/driver-ha-wal
7e40e56 [Hari Shreedharan] Restore old build directory after tests
587b876 [Hari Shreedharan] Fix broken test. Call getFileSystem only from synchronized method.
b4be0c1 [Hari Shreedharan] Remove unused method
edcbee1 [Hari Shreedharan] Tests reading and writing data using writers now use Minicluster.
5c70d1f [Hari Shreedharan] Remove underlying stream from the WALWriter.
4ab602a [Tathagata Das] Refactored write ahead stuff from streaming.storage to streaming.util
b06be2b [Tathagata Das] Adding missing license.
5182ffb [Hari Shreedharan] Added documentation
172358d [Tathagata Das] Pulled WriteAheadLog-related stuff from tdas/spark/tree/driver-ha-working
tdas pushed a commit that referenced this pull request Jan 21, 2015
…ommands.

Adding support for defining schema in foreign DDL commands. Now foreign DDL support commands like:
```
CREATE TEMPORARY TABLE avroTable
USING org.apache.spark.sql.avro
OPTIONS (path "../hive/src/test/resources/data/files/episodes.avro")
```
With this PR user can define schema instead of infer from file, so  support ddl command as follows:
```
CREATE TEMPORARY TABLE avroTable(a int, b string)
USING org.apache.spark.sql.avro
OPTIONS (path "../hive/src/test/resources/data/files/episodes.avro")
```

Author: scwf <wangfei1@huawei.com>
Author: Yin Huai <yhuai@databricks.com>
Author: Fei Wang <wangfei1@huawei.com>
Author: wangfei <wangfei1@huawei.com>

Closes apache#3431 from scwf/ddl and squashes the following commits:

7e79ce5 [Fei Wang] Merge pull request #22 from yhuai/pr3431yin
38f634e [Yin Huai] Remove Option from createRelation.
65e9c73 [Yin Huai] Revert all changes since applying a given schema has not been testd.
a852b10 [scwf] remove cleanIdentifier
f336a16 [Fei Wang] Merge pull request #21 from yhuai/pr3431yin
baf79b5 [Yin Huai] Test special characters quoted by backticks.
50a03b0 [Yin Huai] Use JsonRDD.nullTypeToStringType to convert NullType to StringType.
1eeb769 [Fei Wang] Merge pull request #20 from yhuai/pr3431yin
f5c22b0 [Yin Huai] Refactor code and update test cases.
f1cffe4 [Yin Huai] Revert "minor refactory"
b621c8f [scwf] minor refactory
d02547f [scwf] fix HiveCompatibilitySuite test failure
8dfbf7a [scwf] more tests for complex data type
ddab984 [Fei Wang] Merge pull request #19 from yhuai/pr3431yin
91ad91b [Yin Huai] Parse data types in DDLParser.
cf982d2 [scwf] fixed test failure
445b57b [scwf] address comments
02a662c [scwf] style issue
44eb70c [scwf] fix decimal parser issue
83b6fc3 [scwf] minor fix
9bf12f8 [wangfei] adding test case
7787ec7 [wangfei] added SchemaRelationProvider
0ba70df [wangfei] draft version
tdas pushed a commit that referenced this pull request Jun 8, 2016
## What changes were proposed in this pull request?

This issue add a new optimizer `ReorderAssociativeOperator` by taking advantage of integral associative property. Currently, Spark works like the following.

1) Can optimize `1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 + a` into `45 + a`.
2) Cannot optimize `a + 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9`.

This PR can handle Case 2 for **Add/Multiply** expression whose data types are `ByteType`, `ShortType`, `IntegerType`, and `LongType`. The followings are the plan comparison between `before` and `after` this issue.

**Before**
```scala
scala> sql("select a+1+2+3+4+5+6+7+8+9 from (select explode(array(1)) a)").explain
== Physical Plan ==
WholeStageCodegen
:  +- Project [(((((((((a#7 + 1) + 2) + 3) + 4) + 5) + 6) + 7) + 8) + 9) AS (((((((((a + 1) + 2) + 3) + 4) + 5) + 6) + 7) + 8) + 9)#8]
:     +- INPUT
+- Generate explode([1]), false, false, [a#7]
   +- Scan OneRowRelation[]
scala> sql("select a*1*2*3*4*5*6*7*8*9 from (select explode(array(1)) a)").explain
== Physical Plan ==
*Project [(((((((((a#18 * 1) * 2) * 3) * 4) * 5) * 6) * 7) * 8) * 9) AS (((((((((a * 1) * 2) * 3) * 4) * 5) * 6) * 7) * 8) * 9)#19]
+- Generate explode([1]), false, false, [a#18]
   +- Scan OneRowRelation[]
```

**After**
```scala
scala> sql("select a+1+2+3+4+5+6+7+8+9 from (select explode(array(1)) a)").explain
== Physical Plan ==
WholeStageCodegen
:  +- Project [(a#7 + 45) AS (((((((((a + 1) + 2) + 3) + 4) + 5) + 6) + 7) + 8) + 9)#8]
:     +- INPUT
+- Generate explode([1]), false, false, [a#7]
   +- Scan OneRowRelation[]
scala> sql("select a*1*2*3*4*5*6*7*8*9 from (select explode(array(1)) a)").explain
== Physical Plan ==
*Project [(a#18 * 362880) AS (((((((((a * 1) * 2) * 3) * 4) * 5) * 6) * 7) * 8) * 9)#19]
+- Generate explode([1]), false, false, [a#18]
   +- Scan OneRowRelation[]
```

This PR is greatly generalized by cloud-fan 's key ideas; he should be credited for the work he did.

## How was this patch tested?

Pass the Jenkins tests including new testsuite.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes apache#12850 from dongjoon-hyun/SPARK-15076.
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