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https://issues.apache.org/jira/browse/SPARK-53504?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-53504:
-----------------------------------
Labels: pull-request-available (was: )
> Type framework
> --------------
>
> Key: SPARK-53504
> URL: https://issues.apache.org/jira/browse/SPARK-53504
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.1.0
> Reporter: Max Gekk
> Assignee: Max Gekk
> Priority: Major
> Labels: pull-request-available
>
> h3. Issues on adding new Catalyst types:
> Based on experience on adding ANSI intervals, TIME type and migration of
> TIMESTAMP_LTZ onto Proleptic Gregorian calendar.
> * Public data type classes like DateType, TimestampType contain minimum
> information and no implementation. Some classes like StructType, DecimalType,
> StringType contain much more operation over the types.
> * Type operations are spread across entire codebase. There is high chance to
> miss processing of new type.
> * Error prone since all errors are caught by tests in runtime. No help from
> the compiler.
> h3. Examples of the current implementation:
> {code}
> find . -name "*.scala" -print0|xargs -0 grep case|grep '=>'|grep
> DayTimeIntervalType|grep -v test|wc -l
> 133
> {code}
> h3. The goal is to add a set of interface and ops objects.
> The interfaces define operations (internal) over the catalyst types. And the
> ops objects implement such interfaces. For instance:
> {code:scala}
> case class TimeTypeOps(t: TimeType)
> extends TypeApiOps
> with EncodeTypeOps
> with FormatTypeOps
> with TypeOps
> with PhyTypeOps
> with LiteralTypeOps {
> {code}
> where *LiteralTypeOps* is
> {code:scala}
> trait LiteralTypeOps {
> // Gets a literal with default value of the type
> def getDefaultLiteral: Literal
> // Gets an Java literal as a string. It can be used in codegen
> def getJavaLiteral(v: Any): String
> }
> {code}
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