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GitHub user ScrapCodes opened a pull request:
https://github.com/apache/spark/pull/17308
[SPARK-19968][SS] Use a cached instance of `KafkaProducer` instead of
creating one every batch.
## What changes were proposed in this pull request?
Changes include a new API for doing
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17270
Yeah. you need to close the PR by yourself. We are unable to close it.
thanks
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Github user gatorsmile commented on the issue:
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Could you add a scenario when users add a column name that already exists
in the table schema?
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
---
@@ -71,7 +71,6 @@ class JDBCSuite extends SparkFunSuite
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -1860,4 +1860,72 @@ class HiveDDLSuite
}
Github user windpiger commented on a diff in the pull request:
https://github.com/apache/spark/pull/17287#discussion_r106342082
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
---
@@ -1270,6 +1376,7 @@ class
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
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@@ -1860,4 +1860,72 @@ class HiveDDLSuite
}
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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/tables.scala ---
@@ -175,6 +178,78 @@ case class AlterTableRenameCommand(
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17242
anyway, I will move it to optimizer in next update.
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -696,6 +696,13 @@ object SQLConf {
.intConf
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17287#discussion_r106340900
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
---
@@ -1270,6 +1376,7 @@ class
Github user actuaryzhang commented on the issue:
https://github.com/apache/spark/pull/17084
Thanks for the PR. I think this is helpful. Will take a look next week.
Quite swamped recently.
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Github user jinxing64 commented on the issue:
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@kayousterhout
Thanks a lot for the comments :) very helpful.
I've refined, please take another look when you have time.
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Github user imatiach-msft commented on the issue:
https://github.com/apache/spark/pull/16722
@jkbradley might you be able to take a look at the changes from @sethah ?
Thank you!
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Github user hhbyyh closed the pull request at:
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Github user hhbyyh commented on the issue:
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Close this.
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Github user jinxing64 commented on a diff in the pull request:
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--- Diff:
core/src/test/scala/org/apache/spark/scheduler/TaskSetManagerSuite.scala ---
@@ -893,6 +893,7 @@ class TaskSetManagerSuite extends
Github user jinxing64 commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -172,7 +172,7 @@ private[spark] class TaskSchedulerImpl
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
---
@@ -999,257 +1083,279 @@ class
Github user imatiach-msft commented on the issue:
https://github.com/apache/spark/pull/17123
@crackcell I'm not sure about changing the UDF to be on a row instead of a
column, I've found that the serialization costs are much higher and the spark
code performs much less. Maybe an
Github user imatiach-msft commented on a diff in the pull request:
https://github.com/apache/spark/pull/17123#discussion_r106339981
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -171,34 +173,34 @@ object Bucketizer extends
Github user SparkQA commented on the issue:
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Github user imatiach-msft commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
---
@@ -105,20 +106,21 @@ final class Bucketizer @Since("1.4.0")
Github user dongjoon-hyun commented on the issue:
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Thank you, @cloud-fan ! I updated the PR according to the review comments.
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Github user hhbyyh commented on the issue:
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Refined some comments and minor things. This should be ready for review.
Thanks.
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Github user gatorsmile commented on the issue:
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@sureshthalamati https://github.com/apache/spark/pull/17171 has been
resolved. Can you update your PR by allowing users to specify the schema in DDL
format?
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Github user imatiach-msft commented on the issue:
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ping @sethah @Lewuathe @thunterdb @WeichenXu123 @jkbradley @actuaryzhang
@srowen could you please take a look? thank you!
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Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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@@ -590,6 +591,23 @@ object TypeCoercion {
Github user imatiach-msft commented on the issue:
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ping @sethah @Lewuathe @thunterdb @WeichenXu123 @jkbradley @actuaryzhang
@srowen could you please take a look? thank you!
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ping @sethah @Lewuathe @thunterdb @WeichenXu123 @jkbradley @actuaryzhang
@srowen could you please take a look? thank you!
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Github user gatorsmile commented on the issue:
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This is the design decision we need to make here.
Spark SQL is kind of a federation system. Two write APIs behave
differently. The `saveAsTable` API expects users to register it in the
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17286#discussion_r106338345
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
---
@@ -128,38 +128,43 @@ case class
Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/17307#discussion_r106337950
--- Diff: docs/configuration.md ---
@@ -1506,6 +1506,11 @@ Apart from these, the following properties are also
available, and may be useful
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--- Diff:
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@@ -156,9 +156,21 @@ case class Stack(children:
Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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@@ -590,6 +591,23 @@ object TypeCoercion {
Github user windpiger commented on a diff in the pull request:
https://github.com/apache/spark/pull/17287#discussion_r106336735
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
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@@ -76,468 +102,500 @@ class
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/16981
cc @maropu https://github.com/apache/spark/pull/17171 is merged. Are you
interested in working on `from_json`?
JIRA: https://issues.apache.org/jira/browse/SPARK-19967
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--- Diff:
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@@ -999,257 +1083,279 @@ class
Github user windpiger commented on a diff in the pull request:
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--- Diff:
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@@ -1270,6 +1376,7 @@ class
Github user squito commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1365,19 +1369,27 @@ class DAGScheduler(
*/
Github user squito commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1331,7 +1328,14 @@ class DAGScheduler(
// TODO:
Github user squito commented on a diff in the pull request:
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--- Diff:
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala ---
@@ -394,6 +394,32 @@ class DAGSchedulerSuite extends SparkFunSuite with
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalogSuite.scala
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@@ -999,257 +1083,279 @@ class
Github user asfgit closed the pull request at:
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Github user cloud-fan commented on the issue:
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thanks, merging to master!
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Github user cloud-fan commented on the issue:
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It's pretty weird that we need to check if table exists in spark catalog
and then check if data exists in data source, by the same save mode specified
by users. I think the new behavior is more
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16971#discussion_r106335040
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproximatePercentile.scala
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@@ -245,7 +245,7 @@ object
Github user gatorsmile commented on the issue:
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ping @zhengruifeng
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@@ -340,3 +343,105 @@ object CaseKeyWhen
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--- Diff:
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@@ -999,257 +1094,279 @@ class
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@@ -999,257 +1083,279 @@ class
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@@ -1270,6 +1376,7 @@ class
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@@ -340,3 +343,105 @@ object CaseKeyWhen
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--- Diff:
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@@ -0,0 +1,40 @@
+/*
+ * Licensed to the
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Github user gatorsmile commented on the issue:
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```Scala
test("saveAsTable API with SaveMode.Overwrite") {
val df = spark.createDataFrame(sparkContext.parallelize(arr1x2),
schema2)
spark.read.jdbc(url1, "test.people",
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Github user viirya commented on the issue:
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hmm, so you don't think canonicalizer should use this?
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Github user cloud-fan commented on the issue:
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not "integration", but "move". I think this logic belongs to optimizer
instead of canonicalizer
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Github user squito commented on the issue:
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reopened https://issues.apache.org/jira/browse/SPARK-7420 for the failure
Jenkins, retest this please
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Github user cloud-fan commented on the issue:
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it's probably ok as we turn an error case runnable. But we should document
this in release notes
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -590,6 +591,23 @@ object TypeCoercion {
}
Github user gatorsmile commented on the issue:
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We introduced a behavior change in Spark 2.2. In Spark 2.1, we reported an
error if the underlying JDBC table exists. We changed [the mode to
Github user viirya commented on the issue:
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ping @cloud-fan Except for the optimization integration, do you have more
comments on this change? Thanks.
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--- Diff: docs/configuration.md ---
@@ -1506,6 +1506,11 @@ Apart from these, the following properties are also
available, and may be useful
of this
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@@ -156,9 +156,21 @@ case class Stack(children:
Github user cloud-fan commented on a diff in the pull request:
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@@ -590,6 +591,23 @@ object TypeCoercion {
}
Github user cloud-fan commented on the issue:
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LGTM
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Github user cloud-fan commented on the issue:
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> The penalty comes when transferring that encrypted data from disk. If the
data ends up in memory again, it is as efficient as before; but if the
evicted block needs to be transferred
Github user ioana-delaney commented on the issue:
https://github.com/apache/spark/pull/15363
@gatorsmile @hvanhovell @wzhfy @ron8hu Please let me know if we can move
forward with this review. @wzhfy I removed the star-join call from
CostBasedJoinReorder until the two are integrated.
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