Vladimir Feinberg created SPARK-16899:
-----------------------------------------
Summary: Structured Streaming Checkpointing Example invalid
Key: SPARK-16899
URL: https://issues.apache.org/jira/browse/SPARK-16899
Project: Spark
Issue Type: Bug
Components: Documentation
Reporter: Vladimir Feinberg
Priority: Critical
The structured streaming checkpointing example at the bottom of the page
(https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#recovering-from-failures-with-checkpointing)
has the following excerpt:
```
aggDF
.writeStream
.outputMode("complete")
.option(“checkpointLocation”, “path/to/HDFS/dir”)
.format("memory")
.start()
```
But memory sinks are not fault-tolerant. Indeed, trying this out, I get the
following error:
```
This query does not support recovering from checkpoint location. Delete
/tmp/streaming.metadata-625631e5-baee-41da-acd1-f16c82f68a40/offsets to start
over.;
```
The documentation should be changed to demonstrate checkpointing for a
non-aggregation streaming task, and explicitly mention there is no way to
checkpoint aggregates.
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