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https://issues.apache.org/jira/browse/SPARK-33677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-33677:
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Summary: LikeSimplification should be skipped if pattern contains any
escapeChar (was: LikeSimplification
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Lu Lu updated SPARK-33677:
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Description:
LikeSimplification rule does not work correctly for many cases that have
patterns containing
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https://issues.apache.org/jira/browse/SPARK-33677?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-33677:
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Description:
Spark SQL should throw exceptions when pattern string is invalid:
{code:sql}
SELECT a LIKE
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Lu Lu updated SPARK-33677:
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Fix Version/s: (was: 3.1.0)
Affects Version/s: (was: 3.0.1)
3.1.0
>
Lu Lu created SPARK-33677:
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Summary: LikeSimplification should be skipped if escape is a
wildcard character
Key: SPARK-33677
URL: https://issues.apache.org/jira/browse/SPARK-33677
Project: Spark
Lu Lu created SPARK-33614:
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Summary: Fix the constant folding rule to skip it if the
expression fails to execute
Key: SPARK-33614
URL: https://issues.apache.org/jira/browse/SPARK-33614
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-33432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-33432:
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Description:
In ANSI mode, schema string parsing should fail if the schema uses ANSI
reserved keyword as
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Lu Lu updated SPARK-33432:
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Description:
In ANSI mode, schema string parsing should fail if the schema uses ANSI
reserved keyword as
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Lu Lu updated SPARK-33432:
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Summary: SQL parser should use active SQLConf (was: DataType parser should
use active SQLConf)
> SQL parser
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Lu Lu updated SPARK-33432:
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Description:
In ANSI mode, schema string parsing should fail if the schema uses ANSI
reserved keyword as
Lu Lu created SPARK-33432:
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Summary: DataType parser should use active SQLConf
Key: SPARK-33432
URL: https://issues.apache.org/jira/browse/SPARK-33432
Project: Spark
Issue Type: Bug
Lu Lu created SPARK-33389:
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Summary: make internal classes of SparkSession always using active
SQLConf
Key: SPARK-33389
URL: https://issues.apache.org/jira/browse/SPARK-33389
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-33140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-33140:
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Summary: make all sub-class of Rule[QueryPlan] using SQLConf.get (was:
make Analyzer rules using
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https://issues.apache.org/jira/browse/SPARK-33008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17223341#comment-17223341
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Lu Lu commented on SPARK-33008:
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Please assign this to me. [~cloud_fan]
> Division by zero on divide-like
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https://issues.apache.org/jira/browse/SPARK-33008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-33008:
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Summary: Division by zero on divide-like operations returns incorrect
result (was: Throw exception on
Lu Lu created SPARK-33008:
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Summary: Throw exception on division by zero
Key: SPARK-33008
URL: https://issues.apache.org/jira/browse/SPARK-33008
Project: Spark
Issue Type: Sub-task
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Lu Lu updated SPARK-33008:
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Description:
Spark SQL:
{code:sql}
spark-sql> SELECT 1/0;
NULL
Time taken: 3.002 seconds, Fetched 1 row(s)
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Lu Lu updated SPARK-33008:
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Description:
Spark SQL:
{code:sql}
spark-sql> SELECT 1/0;
NULL
Time taken: 3.002 seconds, Fetched 1 row(s)
Lu Lu created SPARK-4115:
Summary: add overrided count for EdgeRDD
Key: SPARK-4115
URL: https://issues.apache.org/jira/browse/SPARK-4115
Project: Spark
Issue Type: Improvement
Components:
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https://issues.apache.org/jira/browse/SPARK-4115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-4115:
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Summary: [GraphX] add overrided count for EdgeRDD (was: add overrided
count for EdgeRDD)
[GraphX] add
Lu Lu created SPARK-4109:
Summary: Task.stageId is not been deserialized correctly
Key: SPARK-4109
URL: https://issues.apache.org/jira/browse/SPARK-4109
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-2823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-2823:
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Description:
If the users set “spark.default.parallelism” and the value is different with
the EdgeRDD partition
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https://issues.apache.org/jira/browse/SPARK-2818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-2818:
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Description:
if the joinning RDDs are originating from a same cached RDD a, the DAGScheduler
will submit
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https://issues.apache.org/jira/browse/SPARK-2818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-2818:
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Description:
if the joinning RDDs are originating from a same cached RDD a, the DAGScheduler
will submit
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https://issues.apache.org/jira/browse/SPARK-2818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-2818:
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Description:
if the joinning RDDs are originating from a same cached RDD, the DAGScheduler
will submit
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https://issues.apache.org/jira/browse/SPARK-2818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-2818:
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Description:
if the joinning RDDs are originating from a same cached RDD, the DAGScheduler
will submit
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https://issues.apache.org/jira/browse/SPARK-2818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lu Lu updated SPARK-2818:
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Description:
if the joinning RDDs are originating from a same cached RDD, the DAGScheduler
will submit
Lu Lu created SPARK-2818:
Summary: Improve joinning RDDs that transformed from the same
cached RDD
Key: SPARK-2818
URL: https://issues.apache.org/jira/browse/SPARK-2818
Project: Spark
Issue Type:
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