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https://issues.apache.org/jira/browse/BEAM-4634?focusedWorklogId=449890&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-449890
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ASF GitHub Bot logged work on BEAM-4634:
----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Jun/20 16:17
Start Date: 23/Jun/20 16:17
Worklog Time Spent: 10m
Work Description: lostluck commented on a change in pull request #12061:
URL: https://github.com/apache/beam/pull/12061#discussion_r444345197
##########
File path: sdks/go/pkg/beam/io/bigqueryio/bigquery.go
##########
@@ -90,21 +90,27 @@ func Read(s beam.Scope, project, table string, t
reflect.Type) beam.PCollection
// TODO(herohde) 7/13/2017: using * is probably too inefficient. We
could infer
// a focused query from the type.
- return query(s, project, fmt.Sprintf("SELECT * from [%v]", table), t)
+ return query(s, project, fmt.Sprintf("SELECT * from [%v]", table), t,
nil)
+}
+
+// QueryOptions represents additional options for executing a query.
+type QueryOptions struct {
Review comment:
I'm less familiar with Big Query and it's option set, but consider
switching this to a variadic list of functional options ala
https://dave.cheney.net/2014/10/17/functional-options-for-friendly-apis In
particular, this avoids a breaking compile change when the (admitedly few)
users of this function update their beam.
It doesn't remove the need for a QueryOptions struct to serialize the
options, but it does allow the callsite to not have empty options every time.
I don't feel super strongly about this as it's likely this package will
likely need updating when we fix module versioning, but it's a suggestion worth
discussing.
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Issue Time Tracking
-------------------
Worklog Id: (was: 449890)
Time Spent: 0.5h (was: 20m)
> Use Standard SQL in biqueryio transform
> ---------------------------------------
>
> Key: BEAM-4634
> URL: https://issues.apache.org/jira/browse/BEAM-4634
> Project: Beam
> Issue Type: Improvement
> Components: sdk-go
> Reporter: Eduardo Morales
> Priority: P3
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> The bigqueryio transform is currently hard coded to use Legacy SQL. Using the
> newer Standard SQL would allow us to write richer queries.
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