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https://issues.apache.org/jira/browse/BEAM-2990?focusedWorklogId=89883&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-89883
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ASF GitHub Bot logged work on BEAM-2990:
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Author: ASF GitHub Bot
Created on: 11/Apr/18 10:25
Start Date: 11/Apr/18 10:25
Worklog Time Spent: 10m
Work Description: reuvenlax commented on a change in pull request #5079:
[BEAM-2990] support MAP in SQL schema
URL: https://github.com/apache/beam/pull/5079#discussion_r180705570
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File path: sdks/java/core/src/main/java/org/apache/beam/sdk/schemas/Schema.java
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@@ -242,6 +247,10 @@ public FieldType type() {
public abstract TypeName getTypeName();
// For container types (e.g. ARRAY), returns the type of the contained
element.
@Nullable public abstract FieldType getComponentType();
+ // For MAP type, returns the type of the key element.
+ @Nullable public abstract FieldType getComponentKeyType();
+ // For MAP type, returns the type of the value element.
+ @Nullable public abstract FieldType getComponentValueType();
Review comment:
<!--thread_id:cc_180487493_t;
commit:7bf9d2048e8d568ee9280629db391775cc490358; resolved:0-->
<!--section:context-quote-->
> **XuMingmin** wrote:
> I would prefer to have different fields for MAP and ARRAY, if it doesn't
cause significant performance issue.
<!--section:body-->
two questions/comments
1. I think the key type be a TypeName instead of a FieldType? Making it a
FieldType makes it legal for the key to be a complex value - e.g. they key
could be an array type - which doesn't sound very meaningful to me.
2. Have you considered introducing a new key-value type here (pair of
TypeName, FieldType)?
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Issue Time Tracking
-------------------
Worklog Id: (was: 89883)
Time Spent: 2.5h (was: 2h 20m)
> support data type MAP
> ---------------------
>
> Key: BEAM-2990
> URL: https://issues.apache.org/jira/browse/BEAM-2990
> Project: Beam
> Issue Type: New Feature
> Components: dsl-sql
> Reporter: Xu Mingmin
> Assignee: Xu Mingmin
> Priority: Major
> Time Spent: 2.5h
> Remaining Estimate: 0h
>
> support Non-scalar types:
> MAP Collection of keys mapped to values
> ARRAY Ordered, contiguous collection that may contain duplicates
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