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https://issues.apache.org/jira/browse/BEAM-3973?focusedWorklogId=88024&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-88024
]
ASF GitHub Bot logged work on BEAM-3973:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Apr/18 12:50
Start Date: 05/Apr/18 12:50
Worklog Time Spent: 10m
Work Description: iemejia commented on a change in pull request #4946:
[BEAM-3973] Adds a parameter to the Cloud Spanner read connector that can
disable batch API
URL: https://github.com/apache/beam/pull/4946#discussion_r179449485
##########
File path:
sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/spanner/SpannerReadIT.java
##########
@@ -193,6 +184,59 @@ public void testQuery() throws Exception {
p.run();
}
+ private SpannerConfig createSpannerConfig() {
+ return SpannerConfig.create()
+ .withProjectId(project)
+ .withInstanceId(options.getInstanceId())
+ .withDatabaseId(databaseName);
+ }
+
+ @Test
+ public void testReadAllRecordsInDb() throws Exception {
+ DatabaseClient databaseClient = getDatabaseClient();
+
+ List<Mutation> mutations = new ArrayList<>();
Review comment:
I referred also to this part too, and what I expected was more in the line
of a makeTableData method like [BigtableIOTest's
one](https://github.com/apache/beam/blob/50a84326581941bc1edf573a0ad2b798ecb0f6a1/sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigtable/BigtableIOTest.java#L995)
given that all the tests are using the same data.
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Issue Time Tracking
-------------------
Worklog Id: (was: 88024)
Time Spent: 2h 20m (was: 2h 10m)
> Allow to disable batch API in SpannerIO
> ---------------------------------------
>
> Key: BEAM-3973
> URL: https://issues.apache.org/jira/browse/BEAM-3973
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Affects Versions: 2.4.0
> Reporter: Mairbek Khadikov
> Assignee: Mairbek Khadikov
> Priority: Major
> Fix For: 2.5.0
>
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> In 2.4.0, SpannerIO#read has been migrated to use batch API. The batch API
> provides abstractions to scale out reads from Spanner, but it requires the
> query to be root-partitionable. The root-partitionable queries cover majority
> of the use cases, however there are examples when running arbitrary query is
> useful. For example, reading all the table names from the
> information_schema.* and reading the content of those tables in the next
> step.
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