Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/20648
> allows the length of tokens are shorter than its schema, putting nulls
(or NA) into missing fields
Actually I also recalled this is a valid case for csv, and I remember that
we did
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/20572#discussion_r170279504
--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/KafkaRDDSuite.scala
---
@@ -64,6 +69,41 @@ class KafkaRDDSuite extends
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/KafkaTestUtils.scala
---
@@ -162,17 +162,22 @@ private[kafka010] class
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/CachedKafkaConsumer.scala
---
@@ -71,25 +69,62 @@ class
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/mocks/MockScheduler.scala
---
@@ -0,0 +1,100 @@
+/*
+ * Licensed
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/KafkaRDDSuite.scala
---
@@ -64,6 +69,41 @@ class KafkaRDDSuite extends
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/KafkaRDDSuite.scala
---
@@ -64,6 +69,41 @@ class KafkaRDDSuite extends
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/KafkaRDD.scala
---
@@ -172,57 +187,138 @@ private[spark] class KafkaRDD[K,
Github user srowen commented on a diff in the pull request:
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--- Diff:
external/kafka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/KafkaRDD.scala
---
@@ -87,47 +89,60 @@ private[spark] class KafkaRDD[K,
Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20664#discussion_r170279656
--- Diff: core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala ---
@@ -1129,6 +1129,36 @@ class RDDSuite extends SparkFunSuite with
SharedSparkContext
Github user jiangxb1987 commented on the issue:
https://github.com/apache/spark/pull/20553
IIUC the `spark.kubernetes.executor.cores` here is just a special case for
`spark.executor.cores`, for k8s backend, you shall still have to handle float
values if you're to read the value of
Github user jiangxb1987 commented on the issue:
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also cc @cloud-fan @jerryshao
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How do we plan to support dynamic allocation with k8s? Should we read
`spark.executor.cores` or `spark.kubernetes.executor.cores` ?
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Github user ala commented on a diff in the pull request:
https://github.com/apache/spark/pull/20664#discussion_r170277224
--- Diff: core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala ---
@@ -1129,6 +1129,36 @@ class RDDSuite extends SparkFunSuite with
SharedSparkContext {
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/20648
+1 for disallowing it anyway if it was Wenchen's opinion too. Please go
ahead. Will help double check anyway.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/20648
Yup, +1 for starting this by disallowing but up to my knowledge R's
read.csv allows then the legnth of tokens are shorter then its schema, putting
nulls (or NA) into missing fields, as a valid
Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20664#discussion_r170271696
--- Diff: core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala ---
@@ -1129,6 +1129,36 @@ class RDDSuite extends SparkFunSuite with
SharedSparkContext
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/20648
@HyukjinKwon From the document of `DataFrameReader.csv`, the behavior of
CSV reader isn't consistent with the document.
```
`PERMISSIVE` : sets other fields to `null` when it meets a
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[SPARK-23496][CORE] Locality of coalesced partitions can be severely skewed
by the order of input partitions
## What changes were proposed in this pull request?
The algorithm in
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/20648
Yup, it's unsupported in JSON but CSV supports it. Do you mean to disallow
CSV too, or simply clean up JSON code path?
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Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/20649#discussion_r170265519
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/StructTypeSuite.scala ---
@@ -0,0 +1,43 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user viirya commented on the issue:
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I'll close this PR and create another PR to refactor JSON parser and
related codes. Thanks @cloud-fan and @HyukjinKwon.
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Github user viirya commented on the issue:
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According to offline discussion with @cloud-fan, partial results are not
supported at all now. We should refactor the code to clear it and reduce
confusion.
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Github user HyukjinKwon commented on the issue:
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How about we start this by disallowing the partial results at all,
documenting the behaviour and matching the behaviour to R's `read.csv(...)` in
case of CSV (in terms of which case is an error
Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20649#discussion_r170256168
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala ---
@@ -297,7 +300,9 @@ case class StructType(fields:
Github user mgaido91 commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala ---
@@ -271,7 +271,9 @@ case class StructType(fields:
Github user mgaido91 commented on a diff in the pull request:
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--- Diff:
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@@ -284,7 +286,8 @@ case class StructType(fields:
Github user mgaido91 commented on a diff in the pull request:
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@@ -284,7 +286,8 @@ case class StructType(fields:
Github user mgaido91 commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,43 @@
+/*
+ * Licensed to the Apache Software
Github user mgaido91 commented on the issue:
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LGTM
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[SPARK-23475][UI][FOLLOWUP] Refactor AllStagesPage in order to avoid
redundant code
## What changes were proposed in this pull request?
As suggested in #20651, the code is very redundant
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Github user cloud-fan commented on the issue:
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I think we do have an intention to return partial result, but there is no
strict definition for it, and seems there is no public document, so it's kind
of a new feature.
Since this is a
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/20624#discussion_r170226448
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/interface.scala
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@@ -387,6 +390,101 @@ case class CatalogStatistics(
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Github user mgaido91 commented on the issue:
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thanks @vanzin I created the PR for the backport. Thanks.
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[SPARK-23475][UI][BACKPORT-2.3] Show also skipped stages
## What changes were proposed in this pull request?
SPARK-20648 introduced the status `SKIPPED` for the stages. On the UI,
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Github user lonehacker commented on the issue:
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Thanks @cloud-fan . I couldn't find a JIRA that tracks this feature, could
you help with that? This feature is very important for our use case, so it
would be great to get any info on when this
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ok to test
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