Github user rxin commented on the issue:
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Jenkins, test this please.
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Github user asfgit closed the pull request at:
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Github user yhuai commented on the issue:
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Thanks. Merging to master and branch 2.0.
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Can one of the admins verify this patch?
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Github user rxin commented on the issue:
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Merging in master. Thanks.
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Github user rxin commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -328,6 +328,10 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
Github user rxin commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -328,6 +328,10 @@ def csv(self, path, schema=None, sep=None,
encoding=None, quote=None, escape=Non
GitHub user lovexi opened a pull request:
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Add shuffle service metrics entry in monitoring docs
## What changes were proposed in this pull request?
Add shuffle service metrics entry in currently supporting metrics list in
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/13778
ping @cloud-fan Can you check if this is good for you now? It is for a
while. Thanks.
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/SimplifyCastsSuite.scala
---
@@ -0,0 +1,112 @@
+/*
+ * Licensed to
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -1441,6 +1441,12 @@ object PushPredicateThroughJoin
Github user cloud-fan commented on the issue:
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> when the data/files are changed by external system (e.g., appended by a
streaming system), the stored schema can be inconsistent with the actual schema
of the data.
I think this
Github user viirya commented on the issue:
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@gatorsmile Yea. I meant that as you use the stored schema without inferred
schema for table, when the data/files are changed by external system (e.g.,
appended by a streaming system), the stored
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Github user gatorsmile commented on the issue:
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@viirya Schema inference is time-consuming, especially when the number of
files is huge. Thus, we should avoid refreshing it every time. That is one of
the major reasons why we have a metadata
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GitHub user mortada opened a pull request:
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[Doc] improve python doc for rdd.histogram
## What changes were proposed in this pull request?
doc change only
## How was this patch tested?
doc change only
Github user viirya commented on the issue:
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ping @rxin The change is ok for you? Thanks.
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Github user viirya commented on the issue:
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@gatorsmile When the data/files are input by an external system, and Spark
is just used to process them in batch. Does it mean that schema can be
inconsistent? Or it should call refresh every time
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Github user dongjoon-hyun commented on the issue:
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Hi, @rxin .
Could you review this `Nvl` PR again?
I can solve that by only replacing `findTightestCommonTypeOfTwo` into
`findTightestCommonTypeToString`.
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--- Diff:
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@@ -393,3 +394,56 @@ case class
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--- Diff:
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@@ -146,6 +151,15 @@ case class CatalogTable(
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--- Diff:
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@@ -303,6 +303,7 @@ object
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--- Diff:
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Github user ericl commented on the issue:
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Cool, @JoshRosen I'll leave this for you to merge.
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Github user ericl commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/storage/DiskBlockObjectWriter.scala ---
@@ -27,8 +27,8 @@ import org.apache.spark.util.Utils
/**
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/CatalogImpl.scala ---
@@ -351,6 +353,44 @@ class CatalogImpl(sparkSession: SparkSession)
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala ---
@@ -487,6 +487,10 @@ object DDLUtils {
Github user JerryLead commented on the issue:
https://github.com/apache/spark/pull/10881
This bug still exists in latest Spark 1.6.2. How about merging it to
branch-1.6? @nishkamravi2 @zsxwing
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Github user dafrista commented on the issue:
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Jenkins, test this please.
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Github user dafrista commented on the issue:
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Thanks @ericl. I pushed a commit addressing your comments.
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/14132
Right, there is `table` API, too. Thank you, I'll add that, too.
By the way, I still in the downtown. I need to go home for dinner. I'll
take care that tonight.
Thank you again.
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14054#discussion_r71265164
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
---
@@ -158,25 +159,41 @@ object JdbcUtils extends
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14132#discussion_r71265020
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1774,6 +1775,51 @@ class Analyzer(
}
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14132
For your reference, below is a simple case if users want to do it using
dataframe
```Scala
sql("CREATE TABLE tab1(c1 int)")
val df = spark.read.table("tab1")
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/14132
Yep. I made that case. Thanks!
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Github user dongjoon-hyun commented on the issue:
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What I mean is currently how to broadcast the Hive table `tab1`? I'm making
the testcase.
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Github user gatorsmile commented on the issue:
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Is it related? This is the most basic test case, right?
```SQL
CREATE TABLE tab1(c1 int)
select * from tab1, tab1
```
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Github user techaddict commented on the issue:
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@cloud-fan Comment addressed, test passed ð
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Github user dongjoon-hyun commented on the issue:
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Does this work in `DataFrame` API, too?
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Github user gatorsmile commented on the issue:
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Not all the joins have the operators `SubqueryAlias`. For example, below is
a self join against Hive tables:
```
== Analyzed Logical Plan ==
c1: int, c1: int
Project [c1#7, c1#8]
Github user ericl commented on the issue:
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This LGTM with some minor comments.
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--- Diff:
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@@ -46,102 +46,145 @@ private[spark] class DiskBlockObjectWriter(
Github user ericl commented on a diff in the pull request:
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--- Diff:
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@@ -46,102 +46,145 @@ private[spark] class DiskBlockObjectWriter(
Github user ericl commented on a diff in the pull request:
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--- Diff:
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Github user ericl commented on a diff in the pull request:
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@@ -46,102 +46,145 @@ private[spark] class DiskBlockObjectWriter(
Github user sun-rui commented on the issue:
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no, go ahead to submit one:)
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala
---
@@ -270,6 +291,11 @@ case class
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/InferSchema.scala
---
@@ -60,13 +60,13 @@ private[sql] object
Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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@@ -1774,6 +1775,51 @@ class Analyzer(
}
Github user jerryshao commented on the issue:
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Thanks @tgravescs for your comments, I will add the docs about it.
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Github user HyukjinKwon commented on the issue:
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@yhuai the commits I pushed include the changes below:
- Reverts the changes in `JSONOptions` about `columnNameOfCorruptRecord`
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -270,6 +291,11 @@ case class
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/catalyst/SQLBuilder.scala ---
@@ -425,6 +452,49 @@ class SQLBuilder(logicalPlan: LogicalPlan)
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -1774,6 +1775,51 @@ class Analyzer(
}
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,119 @@
+/*
+ * Licensed to
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--- Diff:
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@@ -425,6 +452,49 @@ class SQLBuilder(logicalPlan: LogicalPlan)
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--- Diff:
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@@ -87,6 +87,7 @@ class Analyzer(
Github user dongjoon-hyun commented on the issue:
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I see. For `NormalizeBroadcastHint`, I will try to minimize the cases.
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--- Diff:
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@@ -425,6 +452,49 @@ class SQLBuilder(logicalPlan: LogicalPlan)
Github user rxin commented on the issue:
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@ericl I was talking with @marmbrus -- it'd be better to create an API in
the physical scan operator that accepts a list of filters, and then do pruning
there. That is to say, we also want to move all
Github user rxin commented on the issue:
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I was referring to NormalizeBroadcastHint -- there are many cases in there
and it seems error prone against future changes. Do we need all those rules?
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Merging in master/2.0.
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/catalyst/LogicalPlanToSQLSuite.scala
---
@@ -17,15 +17,33 @@
package
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@@ -17,15 +17,33 @@
package
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