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https://issues.apache.org/jira/browse/DRILL-8182?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17563766#comment-17563766
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ASF GitHub Bot commented on DRILL-8182:
---------------------------------------
jnturton commented on code in PR #2583:
URL: https://github.com/apache/drill/pull/2583#discussion_r915822192
##########
exec/java-exec/src/main/java/org/apache/drill/exec/store/mock/MockTableDef.java:
##########
@@ -84,6 +85,19 @@ public String toString() {
}
}
+ /**
+ * An unfortunate hack that adds required DrillTableSelection behaviour to
+ * the entries list while keeping its serialised form a JSON array to remain
+ * compatible with existing, serialised logical plan JSON files as may be
+ * found in the Drill unit test code, for example.
+ */
+ public static class MockTableSelection extends ArrayList<MockScanEntry>
implements DrillTableSelection {
Review Comment:
@vvysotskyi I've changed this to a wrapper and modified the two instances of
existing test plan JSON.
> File scan nodes not differentiated by format config
> ---------------------------------------------------
>
> Key: DRILL-8182
> URL: https://issues.apache.org/jira/browse/DRILL-8182
> Project: Apache Drill
> Issue Type: Bug
> Components: Storage - Other
> Affects Versions: 1.20.0
> Reporter: James Turton
> Assignee: Charles Givre
> Priority: Major
> Fix For: 1.20.2
>
> Attachments: Products_Customers_Orders.xlsx
>
>
> Two file scans that differ only by format config overriden with table
> functions may be genuinely different in terms of the data they return. The
> format config options may affect the behaviour of the format parser (date
> strings, delimiters, etc.) possibly directing format plugin to entirely
> different data within the file. Such scans should not be considered the same
> by the query planner. This illustrated by the following example based on the
> Excel format plugin.
> When a query includes multiple SELECTs against a workbook by using TABLE
> functions to access different sheets, and those sheets contain a column with
> the same name, then values for that column come a single sheet for both
> SELECTs. To reproduce, run the following query against the attachment and
> note that the `Name` values returned from the Products sheet are `Name`
> values from the Customers sheet.
>
> {code:java}
> with
> prod as (
> select Id, Name from TABLE(dfs.tmp.`/Products_Customers_Orders.xlsx`
> (type => 'excel', sheetName => 'Products'))
> )
> , cust as (
> select Id, Name from TABLE(dfs.tmp.`/Products_Customers_Orders.xlsx`
> (type => 'excel', sheetName => 'Customers'))
> )
> select * from cust join prod on cust.Id = prod.Id; {code}
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