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Posted to issues@ignite.apache.org by "Andrey Mashenkov (Jira)" <ji...@apache.org> on 2021/07/06 09:54:00 UTC
[jira] [Comment Edited] (IGNITE-14556) Live Schema. Add Tuple
validation.
[ https://issues.apache.org/jira/browse/IGNITE-14556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17322239#comment-17322239 ]
Andrey Mashenkov edited comment on IGNITE-14556 at 7/6/21, 9:53 AM:
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Do we need an option to relax these checks for STRICT mode? and allow arbitrary fields in the Tuple, but ignore non-relevant while building a Row?
Maybe this could be a default option? If so, we only need this validation for LIVE-schema to detect schema upgrades.
was (Author: amashenkov):
Do we need an option to relax these checks for STRICT mode? and allow to pass any fields within the Tuple, but ignore non-relevant while building a Row?
Maybe this could be a default option? If so, we only need this validation for LIVE-schema to detect schema upgrade.
> Live Schema. Add Tuple validation.
> ----------------------------------
>
> Key: IGNITE-14556
> URL: https://issues.apache.org/jira/browse/IGNITE-14556
> Project: Ignite
> Issue Type: Improvement
> Reporter: Andrey Mashenkov
> Priority: Major
> Labels: iep-54, ignite-3
> Fix For: 3.0.0-alpha3
>
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> h3. Motivation.
> At a point of Table public method is called by a user, we need to validate user input (for LIVE-schema purposes at least).
> h3. Description.
> We can add this logic to check if value fields match the current schema version (no new fields).
> * For LIVE-Schema. If Tuple has one or more additional columns, then we should try to register a new schema first, then proceed with the user operation.
> * For STRICT-Schema. If Tuple has one or more additional columns, then we should fail the user operation.
> * For KeyValueView, we should validate key Tuple as well, and fail if there are unknown columns. Because a key column span is immutable. The only exception may be if a user creates a schemaless table, then a schema of the 1-st version should be registered instantly.
> Assumed, any column type mismatch or missed Non-Nullable columns will be caught and processed by RowAssembler.
> h4. Possible optimization.
> It is possible to add the validation into a TupleBuilder and then just check the Tuple instance class (should be a builder).
> For any Tuple of unknown type or if a schema was changed concurrently (TupleBuilder validated input against outdated schema version), then fallback to default logic and re-validate input against the latest schema.
>
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