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new 055b57e minor, fix format
055b57e is described below
commit 055b57e245fcb85acd1952904391b277e2f611ef
Author: Billy Liu <billy...@apache.org>
AuthorDate: Sat Sep 22 12:51:57 2018 +0800
minor, fix format
---
website/_posts/blog/2018-09-20-release-v2.5.0.md | 1 +
1 file changed, 1 insertion(+)
diff --git a/website/_posts/blog/2018-09-20-release-v2.5.0.md
b/website/_posts/blog/2018-09-20-release-v2.5.0.md
index a8a18cb..953e283 100644
--- a/website/_posts/blog/2018-09-20-release-v2.5.0.md
+++ b/website/_posts/blog/2018-09-20-release-v2.5.0.md
@@ -16,6 +16,7 @@ This is a major release after 2.4.0, including many
enhancements. All of the cha
Now Kylin's Spark engine will run all distributed jobs in Spark, including
fetch distinct dimension values, converting cuboid files to HBase HFile,
merging segments, merging dictionaries, etc. The default configurations are
tuned so the user can get an out-of-box experience. The overall performance
with the previous version is close, but we assume Spark has more room to
improve. The related tasks are KYLIN-3427, KYLIN-3441, KYLIN-3442.
There are also improvements in the job management. Now you can get the job
link on the web console once Spark starts to run. If you discard the job, Kylin
will kill the Spark job to release the resource in time. If Kylin is restarted,
it can resume from the previous job instead of resubmitting a new job.
+
### MySQL as Kylin metastore
In the past, HBase is the only option for Kylin metadata. In some cases, this
is not applicable, for example using replicated HBase cluster for Kylin's HA
(the replicated HBase is read only). Now we introduce the MySQL metastore to
fulfill such need. This function is in beta now. Check KYLIN-3488 for more.
