1 Known Issues
The limitations and known issues in Oracle Stream Analytics are listed in this document.
Unexpected Message While Adding a Filter to Join Stage
Bug Number: 27759679
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
A Pipeline is broken. Please fix all invalid stages.
message appears when you try to add a filter in a join stage. This is a known issue.
Workaround
No workaround available
Batch Delay Increases When HA is Enabled
Bug Number: 27759532
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
While publishing a pipeline, if you enable HA you can see that the batch scheduling is delayed. This is a known issue.
Workaround
No workaround available
Same user cannot login multiple times
Bug Number: 27162360
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
Multiple logins from different browser instances using the same user id is not supported in Oracle Stream Analytics. Even though you are not working on the same artifacts, logging in to the application using the same user credentials from multiple places is not allowed.
Workaround
No workaround available
Target stage does not get updated if previous stage is edited
Bug Number: 27339675
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
When any of the previous stages are updated, the changes are not propagated to the target stage. The live output table in the target stage does not show any events. This is a known issue.
Workaround
Re-configure the target by selecting No Target in the target configuration section.
Values of Drop-down List not seen when the Live Output Table has a single row
Bug Number: 27474785
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
Full values within the drop-down list are not seen when the live output table has a single row. This is a known issue.
Workaround
Pull the horizontal splitter up so that more of the table is visible.
Metadata Export of Dashboards is not supported
Issue
Bug Number: 27466147
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
The metadata export functionality for dashboards is not supported in this release of Oracle Stream Analytics. This is a limitation.
Workaround
No workaround available
Metadata Export of Custom Stages is not supported
Bug Number: 27515146
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
The metadata export functionality for pipelines that contain custom stages is not supported in this release of Oracle Stream Analytics.
Workaround
No workaround available
Metadata Export of Cubes is not supported
Bug Number: 27466177
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
The metadata export functionality of a cube is not supported in this release of Oracle Stream Analytics.
Workaround
No workaround available
Metadata Export of Scoring Stages is not supported
Bug Number: 27594028
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
The metadata export functionality for pipelines that contain scoring stages is not supported in this release of Oracle Stream Analytics.
Workaround
No workaround available
Metadata Export of Predictive Models is not supported
Issue
Impacted Platforms: All
The metadata export functionality of predictive models is not supported in this release of Oracle Stream Analytics. This is a limitation.
Workaround
No workaround available
Metadata Export of Visualizations is not supported
Issue
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
The metadata export functionality for visualizations is not supported in this release of Oracle Stream Analytics. This is a limitation.
Workaround
No workaround available
Improper Connection Pooling Size in Jetty
Issue
Bug Number: 27511853
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
Jetty slows down because of an improper connection pooling size. You must allocate more size for pooling if not explicitly specified.
Workaround
Add the connection pool size in the configuration. The sample JDBC configuration looks like the following:
<New id="osads" class="org.eclipse.jetty.plus.jndi.Resource">
<Arg>
<Ref refid="wac"/>
</Arg>
<Arg>jdbc/OSADataSource</Arg>
<Arg>
<New class="oracle.jdbc.pool.OracleDataSource">
<Set name="URL">jdbc:oracle:thin:@myhost.example.com:1521:OSADB</Set>
<Set name="User">{OSA_USER}</Set>
<Set name="Password">{OSA_USER_PWD}</Set>
<Set name="connectionCachingEnabled">true</Set>
<Set name="connectionCacheProperties">
<New class="java.util.Properties">
<Call name="setProperty"><Arg>MinLimit</Arg><Arg>1</Arg></Call>
<Call name="setProperty"><Arg>MaxLimit</Arg><Arg>15</Arg></Call>
<Call name="setProperty"><Arg>InitialLimit</Arg><Arg>1</Arg></Call>
</New>
</Set>
</New>
</Arg>
</New>
Example 1-1 Example Title
No Data Seen in Live Output Table when the Pipeline is Published
Issue
Bug Number: 27587750
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
Sometimes no data is seen in the target stage of the live output when you publish the pipeline.
Workaround
Exit the pipeline editor and come back to the pipeline.
SDO_GEOMETRY Not Supported in Coherence Cache
Issue
Bug Number: 27480822
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
In coherence cache, data type conversion to SDO_GEOMETRY
is not supported. This is a limitation.
Workaround
No workaround available
Pattern Cannot Detect Events Correctly
Issue
Bug Number: 25132943
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
When you have configured the batch duration as 1 second for underlying Spark Streaming, the pattern match clause cannot detect events sequence correctly happening within an interval of less than or equal to 1 second. This is a limitation.
Workaround
No workaround available
Pipeline is Stuck with "Listening for Events" Message
Issue
Bug Number: 27578142
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
When you create a file stream with Read whole content
option enabled, the pipeline is stuck at the message “Listening for Events” and no data appears in the live output table.
Workaround
Turn off the Read whole content
option to see the events streaming in the live output table.
Default Character Limit for Text Fields
Bug Number: 27701535
Impacted Releases: 18.1.0.0.0
Impacted Platforms: All
There is a limitation on the size of text fields in pipelines: events with text fields exceeding 1024 characters will not be processed.
Limited Support for Predictive Models
The menu commands for creating Predictive Models and Scoring Stages are marked Beta, for example, Predictive Model (Beta). The Beta label indicates that the functionality has been tested, but is not fully supported. The import and scoring of Predictive Models might contain undocumented limitations and you should use them as is.