[SPARK-23064][DOCS][SS] Added documentation for stream-stream joins #20255
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Test build #86073 has finished for PR 20255 at commit
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felixcheung
approved these changes
Jan 13, 2018
| clickTime >= impressionTime AND | ||
| clickTime <= impressionTime + interval 1 hour | ||
| """ | ||
| )) |
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this should just work for R, like this:
(I added withWatermark in 2.3)
impressions <- read.stream( ...
clicks <- read.stream( ...
# Apply watermarks on event-time columns
impressionsWithWatermark <- withWatermark(impressions, "impressionTime", "2 hours")
clicksWithWatermark <- withWatermark(clicks, "clickTime", "3 hours")
# Join with event-time constraints
impressionsWithWatermark.join(
clicksWithWatermark,
expr(
"clickAdId = impressionAdId AND
clickTime >= impressionTime AND
clickTime <= impressionTime + interval 1 hour"
))
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Could you add tests for stream-stream joins in R as well? :)
Actually, I would like it to be tested first before I add a code snippet. so that instead "should work" we can claim for sure "works".
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| However, note that the outer NULL results will be generated with a delay (depends on the specified | ||
| watermark delay and the time range condition) because the engine has to wait for that long to ensure | ||
| there were no matches and there will be no more matches in future. |
tdas
commented
Jan 17, 2018
| @@ -2142,6 +2452,7 @@ write.stream(aggDF, "memory", outputMode = "complete", checkpointLocation = "pat | |||
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| **Talks** | |||
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| - Spark Summit 2017 Talk - [Easy, Scalable, Fault-tolerant Stream Processing with Structured Streaming in Apache Spark](https://spark-summit.org/2017/events/easy-scalable-fault-tolerant-stream-processing-with-structured-streaming-in-apache-spark/) | |||
| - Spark Summit Europe 2017 Talks - | |||
| - [Easy, Scalable, Fault-tolerant Stream Processing with Structured Streaming in Apache Spark](https://spark-summit.org/2017/events/easy-scalable-fault-tolerant-stream-processing-with-structured-streaming-in-apache-spark/) | |||
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TODO: this link needs to be updated. blocked on some links not working on the spark summit website.
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Test build #86214 has finished for PR 20255 at commit
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Test build #86215 has finished for PR 20255 at commit
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Test build #86219 has finished for PR 20255 at commit
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zsxwing
requested changes
Jan 17, 2018
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| - Cannot use streaming aggregations before joins. | ||
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| - Cannot use mapGroupsWithState and flatMapGroupsWithState in Update mode cannot before joins. |
| <td style="vertical-align: middle;">Inner</td> | ||
| <td style="vertical-align: middle;"> | ||
| Supported, optionally specify watermark on both sides + | ||
| time constraints for state cleanup< |
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Test build #86303 has finished for PR 20255 at commit
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Merging to master and 2.3. |
asfgit
pushed a commit
that referenced
this pull request
Jan 18, 2018
## What changes were proposed in this pull request? Added documentation for stream-stream joins     ## How was this patch tested? N/a Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #20255 from tdas/join-docs. (cherry picked from commit 1002bd6) Signed-off-by: Shixiong Zhu <zsxwing@gmail.com>
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What changes were proposed in this pull request?
Added documentation for stream-stream joins
How was this patch tested?
N/a