Github user vesense commented on the issue:
https://github.com/apache/storm/pull/1748
Thanks @HeartSaVioR for your response and field Jiras. After my current
tasks completed, I will pick them up.
I will update #1751 accordingly, and then you can take a look if you have
time.
Github user HeartSaVioR commented on the issue:
https://github.com/apache/storm/pull/1748
Filed to https://issues.apache.org/jira/browse/STORM-2186 and
https://issues.apache.org/jira/browse/STORM-2187.
---
If your project is set up for it, you can reply to this email and have your
Github user asfgit closed the pull request at:
https://github.com/apache/storm/pull/1748
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is
Github user HeartSaVioR commented on the issue:
https://github.com/apache/storm/pull/1748
@vesense
Regarding field, yeah I forgot it. We should have a chance to revamp the
Storm SQL related APIs, but we could also file an issue and postpone it.
Regarding document, yes others
http://hortonworks.com/blog/microbenchmarking-storm-1-0-performance/
-roshan
On 11/4/16, 7:13 AM, "Paul Poulosky"
wrote:
>IEEE Xplore Document - Benchmarking Streaming Computation Engines: Storm,
>Flink and Spark Streaming
>
>
>|
>| |
>IEEE Xplore
Github user revans2 commented on a diff in the pull request:
https://github.com/apache/storm/pull/1760#discussion_r86603766
--- Diff:
external/storm-redis/src/main/java/org/apache/storm/redis/bolt/RedisFilterBolt.java
---
@@ -45,18 +48,41 @@
*/
public class
Github user vesense commented on the issue:
https://github.com/apache/storm/pull/1748
@HeartSaVioR Thanks for your quick reply.
The reason tuple data is serialized to one field is that the method
`write(List data, ByteBuffer buffer)` in interface
`IOutputSerializer`
Github user vesense commented on the issue:
https://github.com/apache/storm/pull/1748
@HeartSaVioR Thanks for your quick reply.
The reason tuple data is serialized to one field is that the method
`write(List data, ByteBuffer buffer)` in interface
`IOutputSerializer`
IEEE Xplore Document - Benchmarking Streaming Computation Engines: Storm, Flink
and Spark Streaming
|
| |
IEEE Xplore Document - Benchmarking Streaming Computation Engines: Storm, Flink
and Spark Streaming
Streaming data processing has been gaining attention due to its application
Thank you Dominik. I have two more points, please.1- What do you mean "able to
control message size"? Is it max-pending-spout parameter?2- Is there any
published benchmark like this old-one here:
https://github.com/stormprocessor/storm-benchmark/commit/22bd17a81020ceef71ed73168ac89d3f8eaf61e2
Hi Dominik,
Many thanks for details. Actually I am looking for a set typologies for my test.
Thank you again,--RegardsWalid
From: Dominik Safaric
To: u...@storm.apache.org; Walid Aljoby
Cc: "dev@storm.apache.org"
Hi Everyone,
Anyone please could tell what are the common benchmarks for testing Storm
performance?
Thank you,--Regards
WA
Github user mo-getter commented on a diff in the pull request:
https://github.com/apache/storm/pull/1760#discussion_r86495472
--- Diff:
external/storm-redis/src/main/java/org/apache/storm/redis/bolt/RedisFilterBolt.java
---
@@ -45,18 +48,41 @@
*/
public class
13 matches
Mail list logo