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The following commit(s) were added to refs/heads/master by this push:
new ce3ca703 fix: 1.3.1 and fix png
ce3ca703 is described below
commit ce3ca703e841ed742ae20daed506e8c905f1efbd
Author: JingsongLi <[email protected]>
AuthorDate: Thu Nov 27 14:51:16 2025 +0800
fix: 1.3.1 and fix png
---
community/docs/releases/release-1.3.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/community/docs/releases/release-1.3.md
b/community/docs/releases/release-1.3.md
index 1e64768a..5dfcf340 100644
--- a/community/docs/releases/release-1.3.md
+++ b/community/docs/releases/release-1.3.md
@@ -1,7 +1,7 @@
---
title: "Release 1.3"
type: release
-version: 1.3.0
+version: 1.3.1
weight: 95
---
@@ -110,13 +110,13 @@ optimal results and significantly reducing the
decision-making complexity relate
To balance the effects of write amplification and sorting, Paimon utilized the
hierarchical concept of LSM Tree to layer data files and the idea of Universal
Compaction to select files that need to be clustered.
-<img src="./img/1.3-incremetal-1.png" alt="incremental-1" />
+<img src="./img/1.3-incremental-1.png" alt="incremental-1" />
Through multi-level design, the data volume of each cluster is controlled. The
higher the level of data clustering, the more stable it is, and the lower the
probability of rewriting, in order to slow down write amplification while
ensuring good sorting performance.
Compared to tables without Cluster, under the dual clustering key filtering
condition, Incremental Cluster query efficiency can be improved by over 150x;
-<img src="./img/1.3-incremetal-2.png" alt="incremental-2" />
+<img src="./img/1.3-incremental-2.png" alt="incremental-2" />
After enabling Incremental Cluster for the Append table, scheduling
Incremental Cluster periodically can not only solve the problem of small files,
but also maintain excellent query efficiency for the Append table. At the same
time, you can change the clustering key at any time after changing the query
mode.
