SPARK-1254. Supplemental fix for HTTPS on Maven Central #209
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Merged build triggered. |
|
Merged build started. |
|
Merged build finished. |
|
All automated tests passed. |
Contributor
|
Hey @srowen - I'm guessing that maven hostname delegates to a mirror/CDN network and maybe some of them support HTTPS and others don't. Seems fine to just fallback to HTTP in that case. |
Contributor
|
Merged |
liancheng
pushed a commit
to liancheng/spark
that referenced
this pull request
Mar 17, 2017
## What changes were proposed in this pull request? This patch introduces advanced query pushdown to Redshift and is largely based on the work done by the Snowflake people: https://github.com/snowflakedb/spark-snowflake Supported operators: - Filter, Project, Sort, Limit Supported expressions (see PR apache#221 for more info): - most boolean logic operators - comparisons - basic arithmetic operations - numeric and string casts - most string functions - (uncorrelated) scalar subqueries Note: No support for `date` and `timestamp` yet. New feature flag: - `spark.databricks.redshift.pushdown` - enabled by default Future TODOs: - enable support for more complex expressions and operators (e.g. dates and timestamps, Aggr, Joins) (SC-5768) - integrate TPC-H testing suite (SC-5717) ## How was this patch tested? * pre-existing Redshift unit tests and redshift-integration-tests * adapted a large part of pre-existing integration tests to check both the old and the new code paths * three new test suites: {`Filter`,`Advanced`,`Randomized`}`PushdownIntegrationSuite` Author: Adrian Ionescu <[email protected]> Author: Juliusz Sompolski <[email protected]> Author: Adrian Ionescu <[email protected]> Closes apache#209 from adrian-ionescu/redshift-pushdown.
mccheah
pushed a commit
to mccheah/spark
that referenced
this pull request
Oct 12, 2017
* metrics 3.2.2 * update deps
jamesrgrinter
pushed a commit
to jamesrgrinter/spark
that referenced
this pull request
Apr 22, 2018
…re (Permission denied)" error on Spark 2.1.X MEP 4.0 - MapR SASL security enabled (apache#209) (cherry picked from commit 97c377b)
Igosuki
pushed a commit
to Adikteev/spark
that referenced
this pull request
Jul 31, 2018
* test beta stub universes * use hdfs in test_hdfs
bzhaoopenstack
pushed a commit
to bzhaoopenstack/spark
that referenced
this pull request
Sep 11, 2019
Clean volume resource after k8s jobs finished to avoid volume quota error
cloud-fan
pushed a commit
that referenced
this pull request
Feb 13, 2020
…constraint
### What changes were proposed in this pull request?
This PR add support infer constraints from cast equality constraint. For example:
```scala
scala> spark.sql("create table spark_29231_1(c1 bigint, c2 bigint)")
res0: org.apache.spark.sql.DataFrame = []
scala> spark.sql("create table spark_29231_2(c1 int, c2 bigint)")
res1: org.apache.spark.sql.DataFrame = []
scala> spark.sql("select t1.* from spark_29231_1 t1 join spark_29231_2 t2 on (t1.c1 = t2.c1 and t1.c1 = 1)").explain
== Physical Plan ==
*(2) Project [c1#5L, c2#6L]
+- *(2) BroadcastHashJoin [c1#5L], [cast(c1#7 as bigint)], Inner, BuildRight
:- *(2) Project [c1#5L, c2#6L]
: +- *(2) Filter (isnotnull(c1#5L) AND (c1#5L = 1))
: +- *(2) ColumnarToRow
: +- FileScan parquet default.spark_29231_1[c1#5L,c2#6L] Batched: true, DataFilters: [isnotnull(c1#5L), (c1#5L = 1)], Format: Parquet, Location: InMemoryFileIndex[file:/root/spark-3.0.0-preview2-bin-hadoop2.7/spark-warehouse/spark_29231_1], PartitionFilters: [], PushedFilters: [IsNotNull(c1), EqualTo(c1,1)], ReadSchema: struct<c1:bigint,c2:bigint>
+- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint))), [id=#209]
+- *(1) Project [c1#7]
+- *(1) Filter isnotnull(c1#7)
+- *(1) ColumnarToRow
+- FileScan parquet default.spark_29231_2[c1#7] Batched: true, DataFilters: [isnotnull(c1#7)], Format: Parquet, Location: InMemoryFileIndex[file:/root/spark-3.0.0-preview2-bin-hadoop2.7/spark-warehouse/spark_29231_2], PartitionFilters: [], PushedFilters: [IsNotNull(c1)], ReadSchema: struct<c1:int>
```
After this PR:
```scala
scala> spark.sql("select t1.* from spark_29231_1 t1 join spark_29231_2 t2 on (t1.c1 = t2.c1 and t1.c1 = 1)").explain
== Physical Plan ==
*(2) Project [c1#0L, c2#1L]
+- *(2) BroadcastHashJoin [c1#0L], [cast(c1#2 as bigint)], Inner, BuildRight
:- *(2) Project [c1#0L, c2#1L]
: +- *(2) Filter (isnotnull(c1#0L) AND (c1#0L = 1))
: +- *(2) ColumnarToRow
: +- FileScan parquet default.spark_29231_1[c1#0L,c2#1L] Batched: true, DataFilters: [isnotnull(c1#0L), (c1#0L = 1)], Format: Parquet, Location: InMemoryFileIndex[file:/root/opensource/spark/spark-warehouse/spark_29231_1], PartitionFilters: [], PushedFilters: [IsNotNull(c1), EqualTo(c1,1)], ReadSchema: struct<c1:bigint,c2:bigint>
+- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint))), [id=#99]
+- *(1) Project [c1#2]
+- *(1) Filter ((cast(c1#2 as bigint) = 1) AND isnotnull(c1#2))
+- *(1) ColumnarToRow
+- FileScan parquet default.spark_29231_2[c1#2] Batched: true, DataFilters: [(cast(c1#2 as bigint) = 1), isnotnull(c1#2)], Format: Parquet, Location: InMemoryFileIndex[file:/root/opensource/spark/spark-warehouse/spark_29231_2], PartitionFilters: [], PushedFilters: [IsNotNull(c1)], ReadSchema: struct<c1:int>
```
### Why are the changes needed?
Improve query performance.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Unit test.
Closes #27252 from wangyum/SPARK-29231.
Authored-by: Yuming Wang <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
sjincho
pushed a commit
to sjincho/spark
that referenced
this pull request
Apr 15, 2020
…constraint
### What changes were proposed in this pull request?
This PR add support infer constraints from cast equality constraint. For example:
```scala
scala> spark.sql("create table spark_29231_1(c1 bigint, c2 bigint)")
res0: org.apache.spark.sql.DataFrame = []
scala> spark.sql("create table spark_29231_2(c1 int, c2 bigint)")
res1: org.apache.spark.sql.DataFrame = []
scala> spark.sql("select t1.* from spark_29231_1 t1 join spark_29231_2 t2 on (t1.c1 = t2.c1 and t1.c1 = 1)").explain
== Physical Plan ==
*(2) Project [c1#5L, c2#6L]
+- *(2) BroadcastHashJoin [c1#5L], [cast(c1#7 as bigint)], Inner, BuildRight
:- *(2) Project [c1#5L, c2#6L]
: +- *(2) Filter (isnotnull(c1#5L) AND (c1#5L = 1))
: +- *(2) ColumnarToRow
: +- FileScan parquet default.spark_29231_1[c1#5L,c2#6L] Batched: true, DataFilters: [isnotnull(c1#5L), (c1#5L = 1)], Format: Parquet, Location: InMemoryFileIndex[file:/root/spark-3.0.0-preview2-bin-hadoop2.7/spark-warehouse/spark_29231_1], PartitionFilters: [], PushedFilters: [IsNotNull(c1), EqualTo(c1,1)], ReadSchema: struct<c1:bigint,c2:bigint>
+- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint))), [id=apache#209]
+- *(1) Project [c1#7]
+- *(1) Filter isnotnull(c1#7)
+- *(1) ColumnarToRow
+- FileScan parquet default.spark_29231_2[c1#7] Batched: true, DataFilters: [isnotnull(c1#7)], Format: Parquet, Location: InMemoryFileIndex[file:/root/spark-3.0.0-preview2-bin-hadoop2.7/spark-warehouse/spark_29231_2], PartitionFilters: [], PushedFilters: [IsNotNull(c1)], ReadSchema: struct<c1:int>
```
After this PR:
```scala
scala> spark.sql("select t1.* from spark_29231_1 t1 join spark_29231_2 t2 on (t1.c1 = t2.c1 and t1.c1 = 1)").explain
== Physical Plan ==
*(2) Project [c1#0L, c2#1L]
+- *(2) BroadcastHashJoin [c1#0L], [cast(c1#2 as bigint)], Inner, BuildRight
:- *(2) Project [c1#0L, c2#1L]
: +- *(2) Filter (isnotnull(c1#0L) AND (c1#0L = 1))
: +- *(2) ColumnarToRow
: +- FileScan parquet default.spark_29231_1[c1#0L,c2#1L] Batched: true, DataFilters: [isnotnull(c1#0L), (c1#0L = 1)], Format: Parquet, Location: InMemoryFileIndex[file:/root/opensource/spark/spark-warehouse/spark_29231_1], PartitionFilters: [], PushedFilters: [IsNotNull(c1), EqualTo(c1,1)], ReadSchema: struct<c1:bigint,c2:bigint>
+- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint))), [id=apache#99]
+- *(1) Project [c1#2]
+- *(1) Filter ((cast(c1#2 as bigint) = 1) AND isnotnull(c1#2))
+- *(1) ColumnarToRow
+- FileScan parquet default.spark_29231_2[c1#2] Batched: true, DataFilters: [(cast(c1#2 as bigint) = 1), isnotnull(c1#2)], Format: Parquet, Location: InMemoryFileIndex[file:/root/opensource/spark/spark-warehouse/spark_29231_2], PartitionFilters: [], PushedFilters: [IsNotNull(c1)], ReadSchema: struct<c1:int>
```
### Why are the changes needed?
Improve query performance.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Unit test.
Closes apache#27252 from wangyum/SPARK-29231.
Authored-by: Yuming Wang <[email protected]>
Signed-off-by: Wenchen Fan <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
It seems that HTTPS does not necessarily work on Maven Central, as it does not today at least. Back to HTTP. Both builds works from a clean repo.