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https://issues.apache.org/jira/browse/CALCITE-4559?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17315881#comment-17315881
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Marieke Gueye edited comment on CALCITE-4559 at 4/6/21, 11:17 PM:
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Hey Julian, 

Here are some examples of rules I had in mind:

*Double cast*

_dt_ being of Data Type Date

{{CAST(CAST(dt as TIMESTAMP) AS DATE)}}

{{Or}}
 {{DATE(CAST(dt as TIMESTAMP)}}

{{=> dt}}

Same with other data types 

*Time Zone method Optimizations*

For some dialects like BigQuery Standard SQL, multiple methods accept timezones 
as inputs 
 (In BQ FORMAT_TIMESTAMP, EXTRACT from timestamp, and TIMESTAMP_TRUNC)
 In that case, we have
 _ts_ being of Data Type Timestamp

{{DateOp(TzConvert(ts, fromTz, toTz), misc1, misc2)}}
 {{ => DateWithTzOp(ts, misc1, misc2, fromTz, toTz)}}

*Time diff optimization*

_ts1_ and _ts2_ being timestamp, datetime ..
 _fromTz_ and _toTz_ two timezones

{{TIME_DIFF(HOUR , TzConvert(ts1, fromTz, toTz), TzConvert(ts2, fromTz, toTz))}}

{{=> TIME_DIFF(HOUR , ts1, ts2 )}}


was (Author: mkou):
Hey Julian, 

Here are some examples of rules I had in mind:

*Double cast*

_dt_ being of Data Type Date

{{CAST(CAST(dt as TIMESTAMP) AS DATE)}}

{{Or}}
 {{DATE(CAST(dt as TIMESTAMP)}}

{{=> dt}}

Same with other data types 

*Time Zone method Optimizations*

For some dialects like BigQuery Standard SQL, multiple methods accept timezones 
as inputs 
 (In BQ FORMAT_TIMESTAMP, EXTRACT from timestamp, and TIMESTAMP_TRUNC)
 In that case, we have
 _ts_ being of Data Type Timestamp

{{{{DateOp(TzConvert(ts, fromTz, toTz), misc1, misc2)}}}}
{{ => DateWithTzOp(ts, misc1, misc2, fromTz, toTz)}}

*Time diff optimization*

_ts1_ and _ts2_ being timestamp, datetime ..
 _fromTz_ and _toTz_ two timezones

{{TIME_DIFF(HOUR , TzConvert(ts1, fromTz, toTz), TzConvert(ts2, fromTz, toTz))}}

{{=> TIME_DIFF(HOUR , ts1, ts2 )}}

> Create 'interface RexRule', a modular rewrite for row-expressions
> -----------------------------------------------------------------
>
>                 Key: CALCITE-4559
>                 URL: https://issues.apache.org/jira/browse/CALCITE-4559
>             Project: Calcite
>          Issue Type: Bug
>            Reporter: Julian Hyde
>            Assignee: Julian Hyde
>            Priority: Major
>
> We propose to add {{class RexRule}}, a rewrite rule for row-expressions 
> ({{class RexNode}}).
> {{class RexRule}} is analogous to how {{class RelRule}} (and the older 
> {{class RelOptRule}}) operates on relational expressions ({{interface 
> RelNode}}). Also, {{class RexRuleProgram}} is analogous to {{HepProgram}} and 
> {{VolcanoPlanner}} (it indexes rules so that we do not have to try every rule 
> against every part of the expression). And a rule describes which operands it 
> matches using {{RexRule.describe(RexRule.OperandBuilder)}}, similar to 
> calling {{RelRule.Config.operandSupplier().apply()}}.
> The advantages of {{RexRule}} are similar to {{RelRule}}: rules can be 
> defined in a modular way, can be documented and tested individually, and can 
> be enabled individually.
> The rules could be applied in various ways. {{RelBuilder.Config}} could 
> contain a {{RexRuleProgram}} that would be applied every time an expression 
> is simplified by a {{RelBuilder}}. There could also be a sub-class of 
> {{interface RelShuttle}} that applies the rules to every {{RexNode}} in a 
> tree (e.g. inside {{Filter}}, {{Project}} and {{Join}}).
> I don't yet know whether, or how, rules might support 3-valued boolean logic 
> ({{RexUnknownAs}}). For example, a rule that simplifies "x = x" to "TRUE" is 
> valid in an "unknownAsFalse" context (e.g. as top-level of {{Filter}} 
> condition), but not in an "unknownAsUnknown" context (e.g. in {{Project}} 
> expression).
> This case is related to CALCITE-3470 (making relational and row-expression 
> rules more similar, as in CockroachDB), but would deliver an API rather than 
> a textual DSL.



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