cloud-fan commented on a change in pull request #26763: [SPARK-30125][SQL]
Remove PostgreSQL dialect
URL: https://github.com/apache/spark/pull/26763#discussion_r354297985
##
File path:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4
##
@@ -52,
cloud-fan commented on issue #26684: [SPARK-30001][SQL] ResolveRelations should
handle both V1 and V2 tables.
URL: https://github.com/apache/spark/pull/26684#issuecomment-562118359
LGTM except https://github.com/apache/spark/pull/26684/files#r354117018
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Expose nested schema pruning to all V2 sources
URL: https://github.com/apache/spark/pull/26751#discussion_r354287169
##
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aokolnychyi commented on a change in pull request #26751: [SPARK-30107][SQL]
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hagerf commented on issue #26762: [SPARK-30131] add array_median function
URL: https://github.com/apache/spark/pull/26762#issuecomment-562107475
@srowen Ok, I see. If it's really that restrictive then users can use other
functions for this, even though I think it could be a popular additio
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amanomer commented on a change in pull request #26712: [SPARK-29883][SQL]
Improve error messages when function name is an alias
URL: https://github.com/apache/spark/pull/26712#discussion_r354274300
##
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srowen commented on issue #26762: [SPARK-30131] add array_median function
URL: https://github.com/apache/spark/pull/26762#issuecomment-562098756
Yes, those are pretty different use cases; `approx_median` would also not
compute a median over a whole column, and indeed, would be prohibitive
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SparkQA commented on issue #25863: [SPARK-28945][SPARK-29037][CORE][SQL] Fix
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hagerf commented on issue #26762: [SPARK-30131] add array_median function
URL: https://github.com/apache/spark/pull/26762#issuecomment-562097725
Yes, of course. But we have the prefix `approx` because calculating exact
median over a whole dataset is difficult to do efficiently. So users wh
zhengruifeng opened a new pull request #26767: [SPARK-29914][ML][FOLLOWUP]
CountVectorizer del big attribute array
URL: https://github.com/apache/spark/pull/26767
### What changes were proposed in this pull request?
CountVectorizer del big attribute array
### Why are the c
srowen commented on a change in pull request #26757: [SPARK-30121][Build] Fix
memory usage in sbt build script
URL: https://github.com/apache/spark/pull/26757#discussion_r354258794
##
File path: build/sbt
##
@@ -66,7 +66,7 @@ Usage: $script_name [options]
-sbt-dir p
srowen commented on issue #26762: [SPARK-30131] add array_median function
URL: https://github.com/apache/spark/pull/26762#issuecomment-562091119
That's a pretty different function: it computes a quantile over the whole
data set. This is a function of a single array value.
yaooqinn commented on issue #26537: [SPARK-29587][SQL] Support SQL Standard
type real as float(4) numeric as decimal
URL: https://github.com/apache/spark/pull/26537#issuecomment-562086114
thanks, @HyukjinKwon for your suggestion. I have drafted a proposal here.
http://apache-spark-d
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Improve error messages when function name is an alias
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amanomer commented on issue #26734: [SPARK-30099][SQL] Improve Analyzed Logical
Plan
URL: https://github.com/apache/spark/pull/26734#issuecomment-562067688
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hagerf commented on issue #26762: [SPARK-30131] add array_median function
URL: https://github.com/apache/spark/pull/26762#issuecomment-562059403
@HyukjinKwon I added some links, I think they should be relevant.
We already have `approxQuantile` but then this would be an exact function,
amanomer commented on a change in pull request #26712: [SPARK-29883][SQL]
Improve error messages when function name is an alias
URL: https://github.com/apache/spark/pull/26712#discussion_r354207829
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Fun
HyukjinKwon commented on a change in pull request #26537: [SPARK-29587][SQL]
Support SQL Standard type real as float(4) numeric as decimal
URL: https://github.com/apache/spark/pull/26537#discussion_r354188577
##
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HyukjinKwon commented on a change in pull request #24405: [SPARK-27506][SQL]
Allow deserialization of Avro data using compatible schemas
URL: https://github.com/apache/spark/pull/24405#discussion_r354183693
##
File path: docs/sql-data-sources-avro.md
##
@@ -240,6 +240,14 @
HyukjinKwon commented on issue #24405: [SPARK-27506][SQL] Allow deserialization
of Avro data using compatible schemas
URL: https://github.com/apache/spark/pull/24405#issuecomment-562039688
@giamo, sorry it took long. very close to go. Can you address the comments?
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AmplabJenkins commented on issue #26766: [SPARK-30138][SQL]Separate
configuration key of max iterations for analyzer and optimizer
URL: https://github.com/apache/spark/pull/26766#issuecomment-562036142
Can one of the admins verify this patch?
---
AmplabJenkins commented on issue #26766: [SPARK-30138][SQL]Separate
configuration key of max iterations for analyzer and optimizer
URL: https://github.com/apache/spark/pull/26766#issuecomment-562035708
Can one of the admins verify this patch?
---
yaooqinn commented on a change in pull request #26757: [SPARK-30121][Build] Fix
memory usage in sbt build script
URL: https://github.com/apache/spark/pull/26757#discussion_r354177570
##
File path: build/sbt
##
@@ -66,7 +66,7 @@ Usage: $script_name [options]
-sbt-dir
yaooqinn commented on a change in pull request #26757: [SPARK-30121][Build] Fix
memory usage in sbt build script
URL: https://github.com/apache/spark/pull/26757#discussion_r354177915
##
File path: build/sbt
##
@@ -66,7 +66,7 @@ Usage: $script_name [options]
-sbt-dir
yaooqinn commented on a change in pull request #26757: [SPARK-30121][Build] Fix
memory usage in sbt build script
URL: https://github.com/apache/spark/pull/26757#discussion_r354177570
##
File path: build/sbt
##
@@ -66,7 +66,7 @@ Usage: $script_name [options]
-sbt-dir
fuwhu opened a new pull request #26766: [SPARK-30138][SQL]Separate
configuration key of max iterations for analyzer and optimizer
URL: https://github.com/apache/spark/pull/26766
### What changes were proposed in this pull request?
separate the configuration keys "spark.sql.optimizer.maxI
yaooqinn commented on a change in pull request #26412: [SPARK-29774][SQL] Date
and Timestamp type +/- null should be null as Postgres
URL: https://github.com/apache/spark/pull/26412#discussion_r354170836
##
File path: sql/core/src/test/resources/sql-tests/results/datetime.sql.out
#
SparkQA commented on issue #25001: [SPARK-28083][SQL] Support LIKE ... ESCAPE
syntax
URL: https://github.com/apache/spark/pull/25001#issuecomment-562027185
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AmplabJenkins removed a comment on issue #25001: [SPARK-28083][SQL] Support
LIKE ... ESCAPE syntax
URL: https://github.com/apache/spark/pull/25001#issuecomment-562024945
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AmplabJenkins removed a comment on issue #25001: [SPARK-28083][SQL] Support
LIKE ... ESCAPE syntax
URL: https://github.com/apache/spark/pull/25001#issuecomment-562024934
Merged build finished. Test PASSed.
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AmplabJenkins commented on issue #25001: [SPARK-28083][SQL] Support LIKE ...
ESCAPE syntax
URL: https://github.com/apache/spark/pull/25001#issuecomment-562024945
Test PASSed.
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