[jira] [Commented] (SPARK-39131) "Exists" is optimized too late (to LeftSemi) preventing filters to be inferred

[ https://issues.apache.org/jira/browse/SPARK-39131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534674#comment-17534674 ] Apache Spark commented on SPARK-39131: -- User 'abellina' has created a pull request for this issue:

[jira] [Assigned] (SPARK-39131) "Exists" is optimized too late (to LeftSemi) preventing filters to be inferred

[ https://issues.apache.org/jira/browse/SPARK-39131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39131: Assignee: (was: Apache Spark) > "Exists" is optimized too late (to LeftSemi)

[jira] [Assigned] (SPARK-39131) "Exists" is optimized too late (to LeftSemi) preventing filters to be inferred

[ https://issues.apache.org/jira/browse/SPARK-39131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39131: Assignee: Apache Spark > "Exists" is optimized too late (to LeftSemi) preventing filters

[jira] [Commented] (SPARK-39140) JavaSerializer doesn't serialize the fields of superclass

[ https://issues.apache.org/jira/browse/SPARK-39140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534663#comment-17534663 ] Gengliang Wang commented on SPARK-39140: [~rednaxelafx] Thank you so much for the detailed

[jira] [Resolved] (SPARK-39140) JavaSerializer doesn't serialize the fields of superclass

[ https://issues.apache.org/jira/browse/SPARK-39140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gengliang Wang resolved SPARK-39140. Resolution: Not A Problem > JavaSerializer doesn't serialize the fields of superclass >

[jira] [Resolved] (SPARK-39137) Use slice instead of take and drop

[ https://issues.apache.org/jira/browse/SPARK-39137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean R. Owen resolved SPARK-39137. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 36494

[jira] [Assigned] (SPARK-39137) Use slice instead of take and drop

[ https://issues.apache.org/jira/browse/SPARK-39137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean R. Owen reassigned SPARK-39137: Assignee: Yang Jie > Use slice instead of take and drop >

[jira] [Commented] (SPARK-39140) JavaSerializer doesn't serialize the fields of superclass

[ https://issues.apache.org/jira/browse/SPARK-39140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534633#comment-17534633 ] Kris Mok commented on SPARK-39140: -- This isn't a "bug" in Spark's {{JavaSerializer}} per-se, but a

[jira] [Resolved] (SPARK-39109) Adjust `GroupBy.mean/median` to match pandas 1.4

[ https://issues.apache.org/jira/browse/SPARK-39109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-39109. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 36452

[jira] [Resolved] (SPARK-39134) Add custom metric of skipped null values for stream join operator

[ https://issues.apache.org/jira/browse/SPARK-39134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] L. C. Hsieh resolved SPARK-39134. - Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 36491

[jira] [Assigned] (SPARK-39134) Add custom metric of skipped null values for stream join operator

[ https://issues.apache.org/jira/browse/SPARK-39134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] L. C. Hsieh reassigned SPARK-39134: --- Assignee: L. C. Hsieh > Add custom metric of skipped null values for stream join operator

[jira] [Commented] (SPARK-39144) Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation

[ https://issues.apache.org/jira/browse/SPARK-39144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534583#comment-17534583 ] Apache Spark commented on SPARK-39144: -- User 'amaliujia' has created a pull request for this issue:

[jira] [Commented] (SPARK-39144) Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation

[ https://issues.apache.org/jira/browse/SPARK-39144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534582#comment-17534582 ] Apache Spark commented on SPARK-39144: -- User 'amaliujia' has created a pull request for this issue:

[jira] [Assigned] (SPARK-39144) Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation

[ https://issues.apache.org/jira/browse/SPARK-39144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39144: Assignee: Apache Spark > Spark SQL replace wrong attributes for nested subquery

[jira] [Assigned] (SPARK-39144) Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation

[ https://issues.apache.org/jira/browse/SPARK-39144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39144: Assignee: (was: Apache Spark) > Spark SQL replace wrong attributes for nested

[jira] [Commented] (SPARK-39144) Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation

[ https://issues.apache.org/jira/browse/SPARK-39144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534580#comment-17534580 ] Rui Wang commented on SPARK-39144: -- Testing in https://github.com/apache/spark/pull/36503. Will come up

[jira] [Created] (SPARK-39144) Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation

Rui Wang created SPARK-39144: Summary: Spark SQL replace wrong attributes for nested subquery expression in which all tables are the same relation Key: SPARK-39144 URL:

[jira] [Assigned] (SPARK-39143) Support CSV file scans with DEFAULT values

[ https://issues.apache.org/jira/browse/SPARK-39143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39143: Assignee: (was: Apache Spark) > Support CSV file scans with DEFAULT values >

[jira] [Commented] (SPARK-39143) Support CSV file scans with DEFAULT values

[ https://issues.apache.org/jira/browse/SPARK-39143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534538#comment-17534538 ] Apache Spark commented on SPARK-39143: -- User 'dtenedor' has created a pull request for this issue:

[jira] [Assigned] (SPARK-39143) Support CSV file scans with DEFAULT values

[ https://issues.apache.org/jira/browse/SPARK-39143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39143: Assignee: Apache Spark > Support CSV file scans with DEFAULT values >

[jira] [Updated] (SPARK-31001) Add ability to create a partitioned table via catalog.createTable()

[ https://issues.apache.org/jira/browse/SPARK-31001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nicholas Chammas updated SPARK-31001: - Description: There doesn't appear to be a way to create a partitioned table using the

[jira] [Created] (SPARK-39143) Support CSV file scans with DEFAULT values

Daniel created SPARK-39143: -- Summary: Support CSV file scans with DEFAULT values Key: SPARK-39143 URL: https://issues.apache.org/jira/browse/SPARK-39143 Project: Spark Issue Type: Sub-task

[jira] [Created] (SPARK-39142) Type overloads in `pandas_udf`

Philip Kahn created SPARK-39142: --- Summary: Type overloads in `pandas_udf` Key: SPARK-39142 URL: https://issues.apache.org/jira/browse/SPARK-39142 Project: Spark Issue Type: Bug

[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=1753#comment-1753 ] eugene commented on SPARK-38846: The JDBC type read from Teradata Numeric is `java.math.BigDecimal`. I

[jira] [Assigned] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-38846: Assignee: Apache Spark > Teradata's Number is either converted to its floor value or

[jira] [Assigned] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-38846: Assignee: (was: Apache Spark) > Teradata's Number is either converted to its floor

[jira] [Commented] (SPARK-38846) Teradata's Number is either converted to its floor value or ceiling value despite its fractional part.

[ https://issues.apache.org/jira/browse/SPARK-38846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534441#comment-17534441 ] Apache Spark commented on SPARK-38846: -- User 'Eugene-Mark' has created a pull request for this

[jira] [Commented] (SPARK-38819) Run Pandas on Spark with Pandas 1.4.x

[ https://issues.apache.org/jira/browse/SPARK-38819?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534428#comment-17534428 ] Xinrong Meng commented on SPARK-38819: -- Thanks Yikun! > Run Pandas on Spark with Pandas 1.4.x >

[jira] [Commented] (SPARK-37878) Migrate SHOW CREATE TABLE to use v2 command by default

[ https://issues.apache.org/jira/browse/SPARK-37878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534417#comment-17534417 ] Apache Spark commented on SPARK-37878: -- User 'cloud-fan' has created a pull request for this issue:

[jira] [Commented] (SPARK-37878) Migrate SHOW CREATE TABLE to use v2 command by default

[ https://issues.apache.org/jira/browse/SPARK-37878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534416#comment-17534416 ] Apache Spark commented on SPARK-37878: -- User 'cloud-fan' has created a pull request for this issue:

[jira] [Updated] (SPARK-39140) JavaSerializer doesn't serialize the fields of superclass

[ https://issues.apache.org/jira/browse/SPARK-39140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gengliang Wang updated SPARK-39140: --- Description: To reproduce:   {code:java} abstract class AA { val ts = System.nanoTime()

[jira] [Deleted] (SPARK-39141) v2 DESCRIBE TABLE EXTENDED should display table location for managed table

[ https://issues.apache.org/jira/browse/SPARK-39141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan deleted SPARK-39141: > v2 DESCRIBE TABLE EXTENDED should display table location for managed table >

[jira] [Created] (SPARK-39141) v2 DESCRIBE TABLE EXTENDED should display table location for managed table

Wenchen Fan created SPARK-39141: --- Summary: v2 DESCRIBE TABLE EXTENDED should display table location for managed table Key: SPARK-39141 URL: https://issues.apache.org/jira/browse/SPARK-39141 Project:

[jira] [Created] (SPARK-39140) JavaSerializer doesn't serialize the fields of superclass

Gengliang Wang created SPARK-39140: -- Summary: JavaSerializer doesn't serialize the fields of superclass Key: SPARK-39140 URL: https://issues.apache.org/jira/browse/SPARK-39140 Project: Spark

[jira] [Commented] (SPARK-39131) "Exists" is optimized too late (to LeftSemi) preventing filters to be inferred

[ https://issues.apache.org/jira/browse/SPARK-39131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534362#comment-17534362 ] Alessandro Bellina commented on SPARK-39131: I'll take a crack at a patch today that can be

[jira] [Assigned] (SPARK-39106) Correct conditional expression constant folding

[ https://issues.apache.org/jira/browse/SPARK-39106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-39106: --- Assignee: XiDuo You > Correct conditional expression constant folding >

[jira] [Resolved] (SPARK-39106) Correct conditional expression constant folding

[ https://issues.apache.org/jira/browse/SPARK-39106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-39106. - Fix Version/s: 3.3.0 Resolution: Fixed Issue resolved by pull request 36468

[jira] [Assigned] (SPARK-39071) Add unwrap_udt function for unwrapping UserDefinedType columns

[ https://issues.apache.org/jira/browse/SPARK-39071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu reassigned SPARK-39071: -- Assignee: Weichen Xu > Add unwrap_udt function for unwrapping UserDefinedType columns >

[jira] [Resolved] (SPARK-39071) Add unwrap_udt function for unwrapping UserDefinedType columns

[ https://issues.apache.org/jira/browse/SPARK-39071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weichen Xu resolved SPARK-39071. Fix Version/s: 3.4.0 Target Version/s: 3.4.0 Resolution: Done > Add unwrap_udt

[jira] [Commented] (SPARK-39139) DS V2 push-down supports UDF V2

[ https://issues.apache.org/jira/browse/SPARK-39139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534292#comment-17534292 ] jiaan.geng commented on SPARK-39139: I'm working on. > DS V2 push-down supports UDF V2 >

[jira] [Created] (SPARK-39139) DS V2 push-down supports UDF V2

jiaan.geng created SPARK-39139: -- Summary: DS V2 push-down supports UDF V2 Key: SPARK-39139 URL: https://issues.apache.org/jira/browse/SPARK-39139 Project: Spark Issue Type: Sub-task

[jira] [Assigned] (SPARK-39138) Add ANSI general value specification and function -user

[ https://issues.apache.org/jira/browse/SPARK-39138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39138: Assignee: (was: Apache Spark) > Add ANSI general value specification and function

[jira] [Commented] (SPARK-39138) Add ANSI general value specification and function -user

[ https://issues.apache.org/jira/browse/SPARK-39138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534287#comment-17534287 ] Apache Spark commented on SPARK-39138: -- User 'yaooqinn' has created a pull request for this issue:

[jira] [Assigned] (SPARK-39138) Add ANSI general value specification and function -user

[ https://issues.apache.org/jira/browse/SPARK-39138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39138: Assignee: Apache Spark > Add ANSI general value specification and function -user >

[jira] [Created] (SPARK-39138) Add ANSI general value specification and function -user

Kent Yao created SPARK-39138: Summary: Add ANSI general value specification and function -user Key: SPARK-39138 URL: https://issues.apache.org/jira/browse/SPARK-39138 Project: Spark Issue Type:

[jira] [Assigned] (SPARK-39104) Null Pointer Exeption on unpersist call

[ https://issues.apache.org/jira/browse/SPARK-39104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39104: Assignee: (was: Apache Spark) > Null Pointer Exeption on unpersist call >

[jira] [Commented] (SPARK-39104) Null Pointer Exeption on unpersist call

[ https://issues.apache.org/jira/browse/SPARK-39104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534279#comment-17534279 ] Apache Spark commented on SPARK-39104: -- User 'pan3793' has created a pull request for this issue:

[jira] [Assigned] (SPARK-39104) Null Pointer Exeption on unpersist call

[ https://issues.apache.org/jira/browse/SPARK-39104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39104: Assignee: Apache Spark > Null Pointer Exeption on unpersist call >

[jira] [Resolved] (SPARK-39135) DS V2 aggregate partial push-down should supports group by without aggregate functions

[ https://issues.apache.org/jira/browse/SPARK-39135?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-39135. - Fix Version/s: 3.3.0 Resolution: Fixed Issue resolved by pull request 36492

[jira] [Assigned] (SPARK-39135) DS V2 aggregate partial push-down should supports group by without aggregate functions

[ https://issues.apache.org/jira/browse/SPARK-39135?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-39135: --- Assignee: jiaan.geng > DS V2 aggregate partial push-down should supports group by without

[jira] [Resolved] (SPARK-39057) Offset could work without Limit

[ https://issues.apache.org/jira/browse/SPARK-39057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-39057. - Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 36417

[jira] [Assigned] (SPARK-39057) Offset could work without Limit

[ https://issues.apache.org/jira/browse/SPARK-39057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-39057: --- Assignee: jiaan.geng > Offset could work without Limit > --- >

[jira] [Commented] (SPARK-39136) JDBCTable support properties

[ https://issues.apache.org/jira/browse/SPARK-39136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534234#comment-17534234 ] Apache Spark commented on SPARK-39136: -- User 'AngersZh' has created a pull request for this

[jira] [Assigned] (SPARK-39136) JDBCTable support properties

[ https://issues.apache.org/jira/browse/SPARK-39136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39136: Assignee: (was: Apache Spark) > JDBCTable support properties >

[jira] [Assigned] (SPARK-39136) JDBCTable support properties

[ https://issues.apache.org/jira/browse/SPARK-39136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39136: Assignee: Apache Spark > JDBCTable support properties > > >

[jira] [Commented] (SPARK-39136) JDBCTable support properties

[ https://issues.apache.org/jira/browse/SPARK-39136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534233#comment-17534233 ] Apache Spark commented on SPARK-39136: -- User 'AngersZh' has created a pull request for this

[jira] [Assigned] (SPARK-39133) Mention log level setting in PYSPARK_JVM_STACKTRACE_ENABLED

[ https://issues.apache.org/jira/browse/SPARK-39133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-39133: Assignee: Xinrong Meng > Mention log level setting in PYSPARK_JVM_STACKTRACE_ENABLED >

[jira] [Resolved] (SPARK-39133) Mention log level setting in PYSPARK_JVM_STACKTRACE_ENABLED

[ https://issues.apache.org/jira/browse/SPARK-39133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-39133. -- Fix Version/s: 3.4.0 Resolution: Fixed Issue resolved by pull request 36490

[jira] [Commented] (SPARK-39137) Use slice instead of take and drop

[ https://issues.apache.org/jira/browse/SPARK-39137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534224#comment-17534224 ] Apache Spark commented on SPARK-39137: -- User 'LuciferYang' has created a pull request for this

[jira] [Commented] (SPARK-39137) Use slice instead of take and drop

[ https://issues.apache.org/jira/browse/SPARK-39137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534223#comment-17534223 ] Apache Spark commented on SPARK-39137: -- User 'LuciferYang' has created a pull request for this

[jira] [Assigned] (SPARK-39137) Use slice instead of take and drop

[ https://issues.apache.org/jira/browse/SPARK-39137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39137: Assignee: Apache Spark > Use slice instead of take and drop >

[jira] [Assigned] (SPARK-39137) Use slice instead of take and drop

[ https://issues.apache.org/jira/browse/SPARK-39137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-39137: Assignee: (was: Apache Spark) > Use slice instead of take and drop >

[jira] [Created] (SPARK-39137) Use slice instead of take and drop

Yang Jie created SPARK-39137: Summary: Use slice instead of take and drop Key: SPARK-39137 URL: https://issues.apache.org/jira/browse/SPARK-39137 Project: Spark Issue Type: Improvement

[jira] [Created] (SPARK-39136) JDBCTable support properties

angerszhu created SPARK-39136: - Summary: JDBCTable support properties Key: SPARK-39136 URL: https://issues.apache.org/jira/browse/SPARK-39136 Project: Spark Issue Type: Task

[jira] [Commented] (SPARK-39136) JDBCTable support properties

[ https://issues.apache.org/jira/browse/SPARK-39136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534220#comment-17534220 ] angerszhu commented on SPARK-39136: --- Raise a ticket soon > JDBCTable support properties >

[jira] [Assigned] (SPARK-38739) Test the error class: INVALID_INPUT_SYNTAX_FOR_NUMERIC_TYPE

[ https://issues.apache.org/jira/browse/SPARK-38739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-38739: Assignee: (was: Apache Spark) > Test the error class:

[jira] [Commented] (SPARK-38739) Test the error class: INVALID_INPUT_SYNTAX_FOR_NUMERIC_TYPE

[ https://issues.apache.org/jira/browse/SPARK-38739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17534168#comment-17534168 ] Apache Spark commented on SPARK-38739: -- User 'panbingkun' has created a pull request for this

[jira] [Assigned] (SPARK-38739) Test the error class: INVALID_INPUT_SYNTAX_FOR_NUMERIC_TYPE

[ https://issues.apache.org/jira/browse/SPARK-38739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-38739: Assignee: Apache Spark > Test the error class: INVALID_INPUT_SYNTAX_FOR_NUMERIC_TYPE >