AmplabJenkins commented on issue #26278: [DO-NOT-MERBE] Investigate Appveyor
failure of master
URL: https://github.com/apache/spark/pull/26278#issuecomment-546865295
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26278: [DO-NOT-MERBE] Investigate Appveyor
failure of master
URL: https://github.com/apache/spark/pull/26278#issuecomment-546865282
Merged build finished. Test PASSed.
This is an automated
AmplabJenkins removed a comment on issue #26278: [DO-NOT-MERBE] Investigate
Appveyor failure of master
URL: https://github.com/apache/spark/pull/26278#issuecomment-546865295
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins removed a comment on issue #26278: [DO-NOT-MERBE] Investigate
Appveyor failure of master
URL: https://github.com/apache/spark/pull/26278#issuecomment-546865282
Merged build finished. Test PASSed.
This is an
SparkQA commented on issue #26278: [DO-NOT-MERBE] Investigate Appveyor failure
of master
URL: https://github.com/apache/spark/pull/26278#issuecomment-546864755
**[Test build #112764 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112764/testReport)**
for
AmplabJenkins removed a comment on issue #26280:
[SPARK-14922][SPARK-17732][SPARK-23866][SQL] Support partition filter in ALTER
TABLE DROP PARTITION and batch dropping PARTITIONS
URL: https://github.com/apache/spark/pull/26280#issuecomment-546861844
Can one of the admins verify this
AmplabJenkins commented on issue #26280:
[SPARK-14922][SPARK-17732][SPARK-23866][SQL] Support partition filter in ALTER
TABLE DROP PARTITION and batch dropping PARTITIONS
URL: https://github.com/apache/spark/pull/26280#issuecomment-546862339
Can one of the admins verify this patch?
AmplabJenkins commented on issue #26280:
[SPARK-14922][SPARK-17732][SPARK-23866][SQL] Support partition filter in ALTER
TABLE DROP PARTITION and batch dropping PARTITIONS
URL: https://github.com/apache/spark/pull/26280#issuecomment-546861844
Can one of the admins verify this patch?
weixiuli opened a new pull request #26280:
[SPARK-14922][SPARK-17732][SPARK-23866][SQL] Support partition filter in ALTER
TABLE DROP PARTITION and batch dropping PARTITIONS
URL: https://github.com/apache/spark/pull/26280
### What changes were proposed in this pull request?
Spark
HyukjinKwon commented on issue #26209: [SPARK-29554][SQL] Add `version` SQL
function
URL: https://github.com/apache/spark/pull/26209#issuecomment-546860279
+1
This is an automated message from the Apache Git Service.
To
MaxGekk commented on a change in pull request #26261: [SPARK-29607][SQL] Move
static methods from CalendarInterval to IntervalUtils
URL: https://github.com/apache/spark/pull/26261#discussion_r339452615
##
File path:
SparkQA commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546848547
**[Test build #112763 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112763/testReport)**
for PR
teeyog commented on issue #26241: [SPARK-29585][WEBUI] Fix stagePage duration
URL: https://github.com/apache/spark/pull/26241#issuecomment-546847228
@shahidki31 This is the latest code of the master
MaxGekk commented on issue #26256: [SPARK-29605][SQL] Optimize string to
interval casting
URL: https://github.com/apache/spark/pull/26256#issuecomment-546847105
> Can you check more?
I can check but the purpose of this PR is optimize existing functionality. I
don't think changing
AmplabJenkins removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546846497
Merged build finished. Test PASSed.
This is an automated
AmplabJenkins removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546846484
Merged build finished. Test PASSed.
This is an
AmplabJenkins removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546846499
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546846505
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546846382
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546846484
Merged build finished. Test PASSed.
This is an automated
AmplabJenkins commented on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546846377
Merged build finished. Test PASSed.
This is an automated message from
AmplabJenkins commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546846497
Merged build finished. Test PASSed.
This is an automated message
AmplabJenkins removed a comment on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546846377
Merged build finished. Test PASSed.
This is an automated
AmplabJenkins removed a comment on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546846382
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546846499
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546846505
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
uncleGen commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546846010
retest this please.
This is an automated message from the Apache
SparkQA commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports UDT
type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546845909
**[Test build #112762 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112762/testReport)**
for PR 24961
SparkQA commented on issue #26243: Prepare Spark release v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546845918
**[Test build #112761 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112761/testReport)**
for PR 26243 at
HyukjinKwon commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546845260
retest this please
This is an automated message from the Apache Git
teeyog removed a comment on issue #26241: [SPARK-29585][WEBUI] Fix stagePage
duration
URL: https://github.com/apache/spark/pull/26241#issuecomment-546845143
@shahidki31
This is an automated message from the Apache Git
HyukjinKwon commented on issue #26243: Prepare Spark release v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546845123
retest this please
This is an automated message from the Apache Git
teeyog commented on issue #26241: [SPARK-29585][WEBUI] Fix stagePage duration
URL: https://github.com/apache/spark/pull/26241#issuecomment-546845143
@shahidki31
This is an automated message from the Apache Git Service.
To
MaxGekk commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339444674
##
File path:
cloud-fan commented on a change in pull request #26256: [SPARK-29605][SQL]
Optimize string to interval casting
URL: https://github.com/apache/spark/pull/26256#discussion_r339444225
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
cloud-fan commented on issue #26256: [SPARK-29605][SQL] Optimize string to
interval casting
URL: https://github.com/apache/spark/pull/26256#issuecomment-546843471
Yes it does allow in Spark now, but I'm asking if it's also allowed in
others.
I checked pgsql
```
cloud0fan=#
cloud-fan commented on a change in pull request #26261: [SPARK-29607][SQL] Move
static methods from CalendarInterval to IntervalUtils
URL: https://github.com/apache/spark/pull/26261#discussion_r339441969
##
File path:
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339439943
##
File path:
cloud-fan commented on a change in pull request #26177: [SPARK-29520][SS] Fix
checks of negative intervals
URL: https://github.com/apache/spark/pull/26177#discussion_r339439208
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339438220
##
File path:
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339436925
##
File path:
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339436343
##
File path:
WangGuangxin commented on a change in pull request #26011: [SPARK-29343][SQL]
Eliminate sorts without limit in the subquery of Join/Aggregation
URL: https://github.com/apache/spark/pull/26011#discussion_r339435785
##
File path:
MaxGekk commented on a change in pull request #26256: [SPARK-29605][SQL]
Optimize string to interval casting
URL: https://github.com/apache/spark/pull/26256#discussion_r339435398
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
AmplabJenkins removed a comment on issue #26279: [SPARK-28382][SQL] Add array
function - unnest
URL: https://github.com/apache/spark/pull/26279#issuecomment-546834407
Merged build finished. Test PASSed.
This is an automated
AmplabJenkins removed a comment on issue #26279: [SPARK-28382][SQL] Add array
function - unnest
URL: https://github.com/apache/spark/pull/26279#issuecomment-546834420
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26279: [SPARK-28382][SQL] Add array function
- unnest
URL: https://github.com/apache/spark/pull/26279#issuecomment-546834407
Merged build finished. Test PASSed.
This is an automated message
AmplabJenkins commented on issue #26279: [SPARK-28382][SQL] Add array function
- unnest
URL: https://github.com/apache/spark/pull/26279#issuecomment-546834420
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339435212
##
File path:
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339434784
##
File path:
SparkQA commented on issue #26134: [SPARK-29486][SQL] CalendarInterval should
have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-546833973
**[Test build #112760 has
SparkQA commented on issue #26279: [SPARK-28382][SQL] Add array function -
unnest
URL: https://github.com/apache/spark/pull/26279#issuecomment-546833950
**[Test build #112759 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112759/testReport)**
for PR 26279
MaxGekk commented on issue #26256: [SPARK-29605][SQL] Optimize string to
interval casting
URL: https://github.com/apache/spark/pull/26256#issuecomment-546833428
> Does casting string to interval type allows leading "interval" in the
string?
yes, it does
AmplabJenkins commented on issue #26134: [SPARK-29486][SQL] CalendarInterval
should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-546832090
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26134: [SPARK-29486][SQL] CalendarInterval
should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-546832079
Merged build finished. Test PASSed.
AmplabJenkins removed a comment on issue #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-546832090
Test PASSed.
Refer to this link for build results (access rights to CI server
AmplabJenkins removed a comment on issue #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-546832079
Merged build finished. Test PASSed.
cloud-fan commented on a change in pull request #26134: [SPARK-29486][SQL]
CalendarInterval should have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#discussion_r339433234
##
File path:
yaooqinn opened a new pull request #26279: [SPARK-28382][SQL] Add array
function - unnest
URL: https://github.com/apache/spark/pull/26279
### What changes were proposed in this pull request?
Function | Return Type | Description | Example | Result
-- | -- | -- | -- |
cloud-fan commented on issue #26134: [SPARK-29486][SQL] CalendarInterval should
have 3 fields: months, days and microseconds
URL: https://github.com/apache/spark/pull/26134#issuecomment-546831501
retest this please
This is
SparkQA commented on issue #25287: [SPARK-28552][SQL]Identification of
different dialects insensitive to case by JDBC URL prefix
URL: https://github.com/apache/spark/pull/25287#issuecomment-546821621
**[Test build #112758 has
AmplabJenkins removed a comment on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546818890
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546818525
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546818476
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546818890
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins removed a comment on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546818885
Merged build finished. Test FAILed.
This is an automated
AmplabJenkins commented on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546818885
Merged build finished. Test FAILed.
This is an automated message from
SparkQA removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546808566
**[Test build #112757 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112757/testReport)**
for
SparkQA removed a comment on issue #26243: Prepare Spark release
v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546785075
**[Test build #112754 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112754/testReport)**
for PR
SparkQA removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546806902
**[Test build #112756 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112756/testReport)**
AmplabJenkins removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546818468
Merged build finished. Test FAILed.
This is an automated
AmplabJenkins removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546818520
Merged build finished. Test FAILed.
This is an
AmplabJenkins commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546818520
Merged build finished. Test FAILed.
This is an automated
AmplabJenkins commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546818525
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546818476
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
SparkQA commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546818400
**[Test build #112756 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112756/testReport)**
for PR
SparkQA commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports UDT
type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546818399
**[Test build #112757 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112757/testReport)**
for PR
AmplabJenkins commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546818468
Merged build finished. Test FAILed.
This is an automated message
SparkQA commented on issue #26243: Prepare Spark release v3.0.0-preview-rc1
URL: https://github.com/apache/spark/pull/26243#issuecomment-546818405
**[Test build #112754 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112754/testReport)**
for PR 26243 at
dengziming commented on a change in pull request #26266: [SPARK-29611][WEBUI]
Sort Kafka metadata by the number of messages
URL: https://github.com/apache/spark/pull/26266#discussion_r339416572
##
File path:
cloud-fan commented on a change in pull request #26261: [SPARK-29607][SQL] Move
static methods from CalendarInterval to IntervalUtils
URL: https://github.com/apache/spark/pull/26261#discussion_r339416220
##
File path:
AmplabJenkins removed a comment on issue #25464: [SPARK-28746][SQL] Add
partitionby hint for sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-546809579
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins removed a comment on issue #25464: [SPARK-28746][SQL] Add
partitionby hint for sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-546809576
Merged build finished. Test PASSed.
This is an
AmplabJenkins commented on issue #25464: [SPARK-28746][SQL] Add partitionby
hint for sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-546809579
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #25464: [SPARK-28746][SQL] Add partitionby
hint for sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-546809576
Merged build finished. Test PASSed.
This is an
SparkQA commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for
sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-546809135
**[Test build #112749 has
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112749/testReport)**
SparkQA removed a comment on issue #25464: [SPARK-28746][SQL] Add partitionby
hint for sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-546768431
**[Test build #112749 has
AmplabJenkins commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546808906
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports
UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546808897
Merged build finished. Test PASSed.
This is an automated message
AmplabJenkins removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546808897
Merged build finished. Test PASSed.
This is an automated
AmplabJenkins removed a comment on issue #24961: [SPARK-28158][SQL] Hive UDFs
supports UDT type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546808906
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
cloud-fan commented on issue #26261: [SPARK-29607][SQL] Move static methods
from CalendarInterval to IntervalUtils
URL: https://github.com/apache/spark/pull/26261#issuecomment-546808713
Yea this is the right direction. If we expose `CalendarInterval`, it should
be a pure data class.
cloud-fan commented on issue #26250: [SPARK-28560][SQL][followup] change the
local shuffle reader from leaf node to unary node
URL: https://github.com/apache/spark/pull/26250#issuecomment-546808265
thanks, merging to master!
uncleGen commented on a change in pull request #24961: [SPARK-28158][SQL] Hive
UDFs supports UDT type
URL: https://github.com/apache/spark/pull/24961#discussion_r339414260
##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveUserDefinedTypeSuite.scala
##
SparkQA commented on issue #24961: [SPARK-28158][SQL] Hive UDFs supports UDT
type
URL: https://github.com/apache/spark/pull/24961#issuecomment-546808566
**[Test build #112757 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/112757/testReport)**
for PR 24961
cloud-fan closed pull request #26250: [SPARK-28560][SQL][followup] change the
local shuffle reader from leaf node to unary node
URL: https://github.com/apache/spark/pull/26250
This is an automated message from the Apache
ConeyLiu removed a comment on issue #25470: [SPARK-28751][Core][WIP] Improve
java serializer deserialization performance
URL: https://github.com/apache/spark/pull/25470#issuecomment-546806343
I tested simply:
`./spark-shell --executor-cores 36 --executor-memory 120G
AmplabJenkins removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546807171
Merged build finished. Test PASSed.
This is an
AmplabJenkins removed a comment on issue #26201: [SPARK-29543][SS][UI] Init
structured streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546807177
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
AmplabJenkins commented on issue #26201: [SPARK-29543][SS][UI] Init structured
streaming ui
URL: https://github.com/apache/spark/pull/26201#issuecomment-546807171
Merged build finished. Test PASSed.
This is an automated
901 - 1000 of 1024 matches
Mail list logo