SPARK-1254. Supplemental fix for HTTPS on Maven Central #209
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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. |
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Merged |
liancheng
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to liancheng/spark
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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
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Oct 12, 2017
* metrics 3.2.2 * update deps
jamesrgrinter
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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
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Jul 31, 2018
* test beta stub universes * use hdfs in test_hdfs
bzhaoopenstack
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Sep 11, 2019
Clean volume resource after k8s jobs finished to avoid volume quota error
cloud-fan
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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]>
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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.