[jira] [Updated] (SPARK-47410) refactor UTF8String and CollationFactory
[
https://issues.apache.org/jira/browse/SPARK-47410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uroš Bojanić updated SPARK-47410:
-
Description:
This ticket addresses the need to refactor the {{UTF8String}} and
{{CollationFactory}} classes within Spark to enhance support for
collation-aware expressions. The goal is to improve code structure,
maintainability, readability, and testing coverage for collation-aware Spark
SQL expressions.
The changed introduced herein should simplify addition of new collation-aware
operations and ensure consistent testing across the codebase.
To further support the addition of collation support for new Spark expressions,
here are a couple of guidelines to follow:
// 1. Collation-aware expression implementation
CollationSupport.java
* should serve as a static entry point for collation-aware expressions,
providing custom support
* for example: one by one Spark expression with corresponding collation support
* also note that: CollationAwareUTF8String should be used for collation-aware
UTF8String operations & other utility methods
CollationFactory.java
* should continue to serve as a static provider for high-level collation
interface
* for example: interacting with external ICU components such as Collator,
StringSearch, etc.
* also note that: no low-level / expression-specific code should generally be
found here
UTF8String.java
* should be largely collation-unaware, and generally be used only as storage,
nothing else
* for example: don’t change this class at all (with the only one-time
exception of: semanticEquals/Compare)
* also note that: no collation-aware operation implementations (using
collationId) should be put here
stringExpressions.scala / regexpExpressions.scala / other
“sql.catalyst.expressions” (for example: Between.scala)
* should only contain minimal changes in order to re-route collation-aware
implementations to CollationSupport
* for example: most changes should be in relation to: adding collationId,
using correct data types, replacements, etc.
* also note that: nullSafeEval & doGenCode should likely note contain
introduce extra branching based on collationId
// 2. Collation-aware expression testing
CollationSuite.scala
* should be used for testing more general collation concepts
* for example: collate/collation expressions, collation names, DDL, casting,
aggregate, shuffle, join, etc.
* also note that: no extra tests should generally be added for newly supported
string expressions
CollationSupportSuite.java
* should be used for expression unit tests, these tests should be as rigorous
as possible in order to cover various cases
* for example: unit tests that test collation-aware expression implementation
for various collations (binary, lowercase, ICU)
* also note that: these tests should generally be written after adding
appropriate expression support in CollationSupport.java
CollationStringExpressionsSuite.scala / CollationRegexpExpressionsSuite.scala /
CollationExpressionSuite.scala
* should be used for expression end-to-end tests, these tests should only
cover crucial expression behaviour
* for example: SQL tests that verify query execution results, expected return
data types, casting, unsupported collation handling, etc.
* also note that: these tests should generally be written after enabling
appropriate expression support in stringExpressions.scala
// 3. Closing notes
* Carefully think about performance implications of newly added custom
collation-aware expression implementation
* for example: be very careful with extra string allocations (UTF8Strings ->
(Java) String -> UTF8Strings, etc.)
* also note that: some operations introduce very heavy performance penalties
(we should avoid the ones we can)
* Make sure to test all newly added expressions and completely (unit tests,
end-to-end tests, etc.)
* for example: consider edge, such as: empty strings, uppercase and lowercase
mix, different byte-length chars, etc.
* also note that: all similar tests should be uniform & readable and be kept
in one place for various expressions
* Consider how new expressions interact with the rest of the system (casting;
collation support level - use correct AbstractStringType, etc.)
* for example: we should watch out for casting, test it thoroughly, and use
CollationTypeCasts if needed for new expressions
* also note that: some expressions won’t support all collation types, so that
should be clearly reflected in tests and dataTypes
was:
This ticket addresses the need to refactor the {{UTF8String}} and
{{CollationFactory}} classes within Spark to enhance support for
collation-aware expressions. The goal is to improve code structure,
maintainability, readability, and testing coverage for collation-aware Spark
SQL expressions.
The changed introduced herein should simplify addition of new collation-aware
operatio
[jira] [Updated] (SPARK-47410) refactor UTF8String and CollationFactory
[
https://issues.apache.org/jira/browse/SPARK-47410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uroš Bojanić updated SPARK-47410:
-
Description:
This ticket addresses the need to refactor the {{UTF8String}} and
{{CollationFactory}} classes within Spark to enhance support for
collation-aware expressions. The goal is to improve code structure,
maintainability, readability, and testing coverage for collation-aware Spark
SQL expressions.
The changed introduced herein should simplify addition of new collation-aware
operations and ensure consistent testing across the codebase.
To further support the addition of collation support for new Spark expressions,
here are a couple of guidelines to follow:
// 1. Collation-aware expression implementation
CollationSupport.java
* should serve as a static entry point for collation-aware expressions,
providing custom support
* for example: one by one Spark expression with corresponding collation support
* also note that: CollationAwareUTF8String should be used for collation-aware
UTF8String operations & other utility methods
CollationFactory.java
* should continue to serve as a static provider for high-level collation
interface
* for example: interacting with external ICU components such as Collator,
StringSearch, etc.
* also note that: no low-level / expression-specific code should generally be
found here
UTF8String.java
* should be largely collation-unaware, and generally be used only as storage,
nothing else
* for example: don’t change this class at all (with the only one-time
exception of: semanticEquals/Compare)
* also note that: no collation-aware operation implementations (using
collationId) should be put here
stringExpressions.scala / regexpExpressions.scala / other
“sql.catalyst.expressions” (for example: Between.scala)
* should only contain minimal changes in order to re-route collation-aware
implementations to CollationSupport
* for example: most changes should be in relation to: adding collationId,
using correct data types, replacements, etc.
* also note that: nullSafeEval & doGenCode should likely note contain
introduce extra branching based on collationId
// 2. Collation-aware expression testing
CollationSuite.scala
* should be used for testing more general collation concepts
* for example: collate/collation expressions, collation names, DDL, casting,
aggregate, shuffle, join, etc.
* also note that: no extra tests should generally be added
CollationSupportSuite.java
* should be used for expression unit tests, these tests should be as rigorous
as possible in order to cover various cases
* for example: unit tests that test collation-aware expression implementation
for various collations (binary, lowercase, ICU)
* also note that: these tests should generally be written after adding
appropriate expression support in CollationSupport.java
CollationStringExpressionsSuite.scala / CollationRegexpExpressionsSuite.scala /
CollationExpressionSuite.scala
* should be used for expression end-to-end tests, these tests should only
cover crucial expression behaviour
* for example: SQL tests that verify query execution results, expected return
data types, casting, unsupported collation handling, etc.
* also note that: these tests should generally be written after enabling
appropriate expression support in stringExpressions.scala
// 3. Closing notes
* Carefully think about performance implications of newly added custom
collation-aware expression implementation
* for example: be very careful with extra string allocations (UTF8Strings ->
(Java) String -> UTF8Strings, etc.)
* also note that: some operations introduce very heavy performance penalties
(we should avoid the ones we can)
* Make sure to test all newly added expressions and completely (unit tests,
end-to-end tests, etc.)
* for example: consider edge, such as: empty strings, uppercase and lowercase
mix, different byte-length chars, etc.
* also note that: all similar tests should be uniform & readable and be kept
in one place for various expressions
* Consider how new expressions interact with the rest of the system (casting;
collation support level - use correct AbstractStringType, etc.)
* for example: we should watch out for casting, test it thoroughly, and use
CollationTypeCasts if needed for new expressions
* also note that: some expressions won’t support all collation types, so that
should be clearly reflected in tests and dataTypes
was:
This ticket addresses the need to refactor the {{UTF8String}} and
{{CollationFactory}} classes within Spark to enhance support for
collation-aware expressions. The goal is to improve code structure,
maintainability, readability, and testing coverage for collation-aware Spark
SQL expressions.
The changed introduced herein should simplify addition of new collation-aware
operations and ensure consistent testing across
[jira] [Updated] (SPARK-47410) refactor UTF8String and CollationFactory
[
https://issues.apache.org/jira/browse/SPARK-47410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uroš Bojanić updated SPARK-47410:
-
Description:
This ticket addresses the need to refactor the {{UTF8String}} and
{{CollationFactory}} classes within Spark to enhance support for
collation-aware expressions. The goal is to improve code structure,
maintainability, readability, and testing coverage for collation-aware Spark
SQL expressions.
The changed introduced herein should simplify addition of new collation-aware
operations and ensure consistent testing across the codebase.
To further support the addition of collation support for new Spark expressions,
here are a couple of guidelines to follow:
// 1. Collation-aware expression implementation
CollationSupport.java
* should serve as a static entry point for collation-aware expressions,
providing custom support
* for example: one by one Spark expression with corresponding collation support
* also note that: CollationAwareUTF8String should be used for collation-aware
UTF8String operations & other utility methods
CollationFactory.java
* should continue to serve as a static provider for high-level collation
interface
* for example: interacting with external ICU components such as Collator,
StringSearch, etc.
* also note that: no low-level / expression-specific code should generally be
found here
UTF8String.java
* should be largely collation-unaware, and generally be used only as storage,
nothing else
* for example: don’t change this class at all (with the only one-time
exception of: semanticEquals/Compare)
* also note that: no collation-aware operation implementations (using
collationId) should be put here
stringExpressions.scala / regexpExpressions.scala / other
“sql.catalyst.expressions” (for example: Between.scala)
* should only contain minimal changes in order to re-route collation-aware
implementations to CollationSupport
* for example: most changes should be in relation to: adding collationId,
using correct data types, replacements, etc.
* also note that: nullSafeEval & doGenCode should likely note contain
introduce extra branching based on collationId
// 2. Collation-aware expression testing
CollationSuite.scala
* should be used for testing more general collation concepts
* for example: collate/collation expressions, collation names, DDL, casting,
aggregate, shuffle, join, etc.
* also note that: no extra tests should generally be added
CollationSupportSuite.java
* should be used for expression unit tests, these tests should be as rigorous
as possible in order to cover various cases
* for example: unit tests that test collation-aware expression implementation
for various collations (binary, lowercase, ICU)
* also note that: these tests should generally be written after adding
appropriate expression support in CollationSupport.java
CollationStringExpressionsSuite.scala / CollationRegexpExpressionsSuite.scala /
CollationExpressionSuite.scala
* should be used for expression end-to-end tests, these tests should only
cover crucial expression behaviour
* for example: SQL tests that verify query execution results, expected return
data types, casting, unsupported collation handling, etc.
* also note that: these tests should generally be written after enabling
appropriate expression support in stringExpressions.scala
// 3. Closing notes
* Carefully think about performance implications of newly added custom
collation-aware expression implementation
* for example: be very careful with extra string allocations (UTF8Strings ->
(Java) String -> UTF8Strings, etc.)
* also note that: some operations introduce very heavy performance penalties
(we should avoid the ones we can)
* Make sure to test all newly added expressions and completely (unit tests,
end-to-end tests, etc.)
* for example: consider edge, such as: empty strings, uppercase and lowercase
mix, different byte-length chars, etc.
* also note that: all similar tests should be uniform & readable and be kept
in one place for various expressions
* Consider how new expressions interact with the rest of the system (casting;
collation support level - use correct AbstractStringType, etc.)
* for example: we should watch out for casting, test it thoroughly, and use
CollationTypeCasts if needed for new expressions
* also note that: some expressions won’t support all collation types, so that
should be clearly reflected in tests and dataTypes
> refactor UTF8String and CollationFactory
>
>
> Key: SPARK-47410
> URL: https://issues.apache.org/jira/browse/SPARK-47410
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 4.0.0
>Reporter: Uroš Bojanić
>Priority: Major
> Labels: pull-request-available
>
> This ticke
[jira] [Updated] (SPARK-47410) refactor UTF8String and CollationFactory
[ https://issues.apache.org/jira/browse/SPARK-47410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-47410: --- Labels: pull-request-available (was: ) > refactor UTF8String and CollationFactory > > > Key: SPARK-47410 > URL: https://issues.apache.org/jira/browse/SPARK-47410 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 4.0.0 >Reporter: Uroš Bojanić >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-47410) refactor UTF8String and CollationFactory
[ https://issues.apache.org/jira/browse/SPARK-47410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Uroš Bojanić updated SPARK-47410: - Summary: refactor UTF8String and CollationFactory (was: Refactor UTF8String and CollationFactory) > refactor UTF8String and CollationFactory > > > Key: SPARK-47410 > URL: https://issues.apache.org/jira/browse/SPARK-47410 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 4.0.0 >Reporter: Uroš Bojanić >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-47410) Refactor UTF8String and CollationFactory
[ https://issues.apache.org/jira/browse/SPARK-47410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Uroš Bojanić updated SPARK-47410: - Summary: Refactor UTF8String and CollationFactory (was: StringTrimLeft, StringTrimRight (all collations)) > Refactor UTF8String and CollationFactory > > > Key: SPARK-47410 > URL: https://issues.apache.org/jira/browse/SPARK-47410 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 4.0.0 >Reporter: Uroš Bojanić >Priority: Major > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
