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ok to test
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@ArtRand - yeah default would remain the same which is 1g
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LGTM
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Yeah that sounds good. Thanks for this!
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[SPARK-17902][R] Revive stringsAsFactors option for collect() in SparkR
## What changes were proposed in this pull request?
This PR proposes to revive `stringsAsFactors` option in
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[SPARK-22334][SQL] Check table size from HDFS in case the size in metastore
is wrong.
## What changes were proposed in this pull request?
Currently we use table properties('totalSize')
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w.r.t init, I'm thinking it's critical to get the
DataframeWriter.extraOptions down the tree. This lets committers be tuned on a
query-by-query basis for things like conflict management,
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import re
import base64
from array import array
+from functools import
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ping @gatorsmile @hvanhovell @cloud-fan
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Can one of the admins verify this patch?
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ping @hvanhovell @gatorsmile
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[SPARK-22333][SQL]ColumnReference should get higher priority than
timeFunctionCall(CURRENT_DATE, CURRENT_TIMESTAMP)
## What changes were proposed in this pull request?
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/18685
Let's close this then :).
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19551#discussion_r146236525
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1191,6 +1191,9 @@ setMethod("collect",
vec <- do.call(c, col)
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19551#discussion_r146236358
--- Diff: R/pkg/tests/fulltests/test_sparkSQL.R ---
@@ -499,6 +499,12 @@ test_that("create DataFrame with different data
types", {
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