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new 03731f5b5 [doc] fix typos, formatting and consistency in
architecture.md (#1390)
03731f5b5 is described below
commit 03731f5b55795fa1130719e9ec451f008e349ad7
Author: Zmm <[email protected]>
AuthorDate: Wed Jul 23 15:15:28 2025 +0800
[doc] fix typos, formatting and consistency in architecture.md (#1390)
---
website/docs/concepts/architecture.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/website/docs/concepts/architecture.md
b/website/docs/concepts/architecture.md
index 12e5a69e3..f99225128 100644
--- a/website/docs/concepts/architecture.md
+++ b/website/docs/concepts/architecture.md
@@ -34,12 +34,12 @@ Additionally, it coordinates critical operations such as:
- Managing data migration and service node switching in the event of node
failures.
- Overseeing table management tasks, including creating or deleting tables and
updating bucket counts.
-As the **brain** of the cluster, the **Coordinator Server** ensures efficient
cluster operation and seamless management of resources.
+As the **brain** of the cluster, the **CoordinatorServer** ensures efficient
cluster operation and seamless management of resources.
## TabletServer
The **TabletServer** is responsible for data storage, persistence, and
providing I/O services directly to users. It comprises two key components:
**LogStore** and **KvStore**.
- For **PrimaryKey Tables** which support updates, both **LogStore** and
**KvStore** are activated. The KvStore is used to support updates and point
lookup efficiently. LogStore is used to store the changelogs of the table.
-- For **Log Tables** which only supports appends, only the **LogStore** is
activated, optimizing performance for write-heavy workloads.
+- For **Log Tables** which only support appends, only the **LogStore** is
activated, optimizing performance for write-heavy workloads.
This architecture ensures the **TabletServer** delivers tailored data handling
capabilities based on table types.
@@ -73,4 +73,4 @@ In upcoming releases, **ZooKeeper will be replaced** by
**KvStore** for metadata
Additionally, **Remote Storage** allows clients to perform bulk read
operations on Log and Kv data, enhancing data analysis efficiency and reduce
the overhead on Fluss servers. In the future, it will also support bulk write
operations, optimizing data import workflows for greater scalability and
performance.
## Client
-Fluss clients/sdks support streaming reads/writes, batch read/writes, DDL and
point queries. Currently, the main implementation of client is Flink Connector.
Users can use Flink SQL to easily operate Fluss tables and data.
\ No newline at end of file
+Fluss clients/SDKs support streaming reads/writes, batch reads/writes, DDL and
point queries. Currently, the main implementation of client is Flink Connector.
Users can use Flink SQL to easily operate Fluss tables and data.
\ No newline at end of file
