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@cloud-fan, let me clarify what I'm getting at here.
It appears that Spark makes at least one copy of data to unsafe when
reading any Parquet row. If the projection includes partition
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val
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Github user rdblue commented on the issue:
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I just did a performance test based on our 2.1.1 and a real table. I tested
a full scan of an hour of data with a single data filter.
The scan had 13,083 tasks and read 1084.8 GB. I used
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+1, LGTM, too. Thank you for choosing this path, @gatorsmile !
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I can take over this PR.
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GitHub user mn-mikke opened a pull request:
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[SPARK-23935][SQL] Adding map_entries function
## What changes were proposed in this pull request?
This PR adds `map_entries` function that returns an unordered array of all
entries in
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import
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I might be a bit of a hardliner on this, but I think it's correct to
eliminate the {{ORDER BY}} from common table expressions (e.g. MSSQL agrees
with me, see [this
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@gengliangwang, we can follow up with a rename for the streaming classes
that already use this API. But there is no need to do that right now and make
this commit larger.
I think I've
Github user jose-torres commented on the issue:
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I don't see the problem with the name ReadTask. In RDDs, we call the
serializable representation of a partition for distribution to executors just
Partition, and I've always found this pretty
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@rdblue [I made the input test date sorted
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> I disagree that it is federation. It's just declaring multiple HDFS
services in the same config file.
I am using the terminology which is used in the Hadoop website. The
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@maropu, I'd recommend looking at the Parquet files using
[`parquet-cli`](http://search.maven.org/#search%7Cga%7C1%7Ca%3A%22parquet-cli%22)
to see if you're getting reasonable min/max stats for your
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> This is a valid configuration and it is the easiest configuration for
HDFS federation.
I disagree that it is federation. It's just declaring multiple HDFS
services in the same config
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@gatorsmile seriously, why are you focusing on the fact that I'm changing
that default value when I wrote a bunch of code to actually maintain the URL
redaction on the SQL plans, which was the
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Github user rdblue commented on the issue:
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@gatorsmile, the Spark UI has used the term "task" for years to refer to
the same thing. I don't think it is unreasonable to use the same term.
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> usernames could have potentially personal identifiable information
User names are not sensitive information. There's a ton of places where you
can see them outside of the Spark UI (have
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--- Diff: docs/sql-programming-guide.md ---
@@ -1812,6 +1812,7 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
-
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--- Diff: sql/core/pom.xml ---
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parquet-avro
test
+
+ org.mockito
+
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> So, what about adding a check if viewfs is enabled: if so we skip the
code added here
That sounds ok.
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[SPARK-24181][SQL] Better error message for writing sorted data
## What changes were proposed in this pull request?
The exception message should clearly distinguish sorting and bucketing in
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@henryr
I might be a bit of a hardliner on this, but I think it's correct to
eliminate the {{ORDER BY}} from common table expressions (e.g. MSSQL agrees
with me, see this link).
DB>>
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Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/21092#discussion_r186239751
--- Diff:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/KubernetesConf.scala
---
@@ -101,17 +112,29 @@ private[spark]
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/21092#discussion_r186240772
--- Diff:
resource-managers/kubernetes/core/src/main/scala/org/apache/spark/deploy/k8s/features/bindings/PythonDriverFeatureStep.scala
---
@@ -0,0 +1,59
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