[docs]fix typos, grammar, casing, and spacing in multiple documents (#1474)

Author: ZmmBigdata

website/docs/engine-flink/datastream.mdx

@@ -7,7 +7,7 @@ sidebar_position: 6
 ## Overview
 The Fluss DataStream Connector for Apache Flink provides a Flink DataStream source implementation for reading data from Fluss tables and a Flink DataStream sink implementation for writing data to Fluss tables. It allows you to seamlessly integrate Fluss tables with Flink's DataStream API, enabling you to process data from Fluss in your Flink applications.
 
-Key features of the Fluss Datastream Connector include:
+Key features of the Fluss DataStream Connector include:
 * Reading from both primary key tables and log tables
 * Support for projection pushdown to select specific fields
 * Flexible offset initialization strategies
@@ -191,7 +191,7 @@ DataStreamSource<RowData> stream = env.fromSource(
 // For INSERT, UPDATE_BEFORE, UPDATE_AFTER, DELETE events
 ```
 
-**Note:** If you are mapping from `RowData` to your pojos object, you might want to include the row kind operation.
+**Note:** If you are mapping from `RowData` to your POJO objects, you might want to include the row kind operation.
 
 #### Reading from a Log Table
 When reading from a log table, all records are emitted with `RowKind.INSERT` since log tables only support appends.

website/docs/engine-flink/getting-started.md

@@ -23,7 +23,7 @@ For Flink's Table API, Fluss supports the following features:
 | Feature support                                   | Flink | Notes                                  |
 |---------------------------------------------------|-------|----------------------------------------|
 | [SQL create catalog](ddl.md#create-catalog)       | ✔️    |                                        |
-| [SQl create database](ddl.md#create-database)     | ✔️    |                                        |
+| [SQL create database](ddl.md#create-database)     | ✔️    |                                        |
 | [SQL drop database](ddl.md#drop-database)         | ✔️    |                                        |
 | [SQL create table](ddl.md#create-table)           | ✔️    |                                        |
 | [SQL create table like](ddl.md#create-table-like) | ✔️    |                                        |
@@ -43,7 +43,7 @@ For Flink's DataStream API, you can see [DataStream API](docs/engine-flink/datas
 ## Preparation when using Flink SQL Client
 - **Download Flink**
 
-Flink runs on all UNIX-like environments, i.e. Linux, Mac OS X, and Cygwin (for Windows).
+Flink runs on all UNIX-like environments, i.e., Linux, Mac OS X, and Cygwin (for Windows).
 If you haven’t downloaded Flink, you can download [the binary release](https://flink.apache.org/downloads.html) of Flink, then extract the archive with the following command.
 ```shell
 tar -xzf flink-1.20.1-bin-scala_2.12.tgz
@@ -70,7 +70,7 @@ You should be able to navigate to the web UI at [localhost:8081](http://localhos
 ```shell
 ps aux | grep flink
 ```
-- **Start a sql client**
+- **Start a SQL Client**
 
 To quickly stop the cluster and all running components, you can use the provided script:
 ```shell
@@ -92,7 +92,7 @@ CREATE CATALOG fluss_catalog WITH (
    you should start the Fluss server first. See [Deploying Fluss](install-deploy/overview.md#how-to-deploy-fluss)
    for how to build a Fluss cluster.
    Here, it is assumed that there is a Fluss cluster running on your local machine and the CoordinatorServer port is 9123.
-2. The` bootstrap.servers` configuration is used to discover all nodes within the Fluss cluster. It can be set with one or more (up to three) Fluss server addresses (either CoordinatorServer or TabletServer) separated by commas.
+2. The`bootstrap.servers` configuration is used to discover all nodes within the Fluss cluster. It can be set with one or more (up to three) Fluss server addresses (either CoordinatorServer or TabletServer) separated by commas.
 :::
 
 ## Creating a Table

website/docs/engine-flink/lookups.md

@@ -232,7 +232,7 @@ Continuing from the previous prefix lookup example, if our dimension table is a
 ```sql title="Flink SQL"
 -- primary keys are (c_custkey, c_nationkey, dt)
 -- bucket key is (c_custkey)
-CREATE TABLE `fluss_catalog`.`my_db`.`customer_partitioned_with_bukcet_key` (
+CREATE TABLE `fluss_catalog`.`my_db`.`customer_partitioned_with_bucket_key` (
   `c_custkey` INT NOT NULL,
   `c_name` STRING NOT NULL,
   `c_address` STRING NOT NULL,
@@ -259,7 +259,7 @@ INSERT INTO prefix_lookup_join_sink
 SELECT `o`.`o_orderkey`, `o`.`o_totalprice`, `c`.`c_name`, `c`.`c_address`
 FROM 
 (SELECT `orders_with_dt`.*, proctime() AS ptime FROM `orders_with_dt`) AS `o`
-LEFT JOIN `customer_partitioned_with_bukcet_key`
+LEFT JOIN `customer_partitioned_with_bucket_key`
 FOR SYSTEM_TIME AS OF `o`.`ptime` AS `c`
 ON `o`.`o_custkey` = `c`.`c_custkey` AND  `o`.`o_dt` = `c`.`dt`;
 

website/docs/engine-flink/reads.md

@@ -7,12 +7,12 @@ sidebar_position: 4
 # Flink Reads
 Fluss supports streaming and batch read with [Apache Flink](https://flink.apache.org/)'s SQL & Table API. Execute the following SQL command to switch execution mode from streaming to batch, and vice versa:
 ```sql title="Flink SQL"
--- Execute the flink job in streaming mode for current session context
+-- Execute the Flink job in streaming mode for current session context
 SET 'execution.runtime-mode' = 'streaming';
 ```
 
 ```sql title="Flink SQL"
--- Execute the flink job in batch mode for current session context
+-- Execute the Flink job in batch mode for current session context
 SET 'execution.runtime-mode' = 'batch';
 ```
 

website/docs/engine-flink/writes.md

@@ -15,7 +15,7 @@ Fluss primary key tables can accept all types of messages (`INSERT`, `UPDATE_BEF
 They support both streaming and batch modes and are compatible with primary-key tables (for upserting data) as well as log tables (for appending data).
 
 ### Appending Data to the Log Table
-#### Create a Log table.
+#### Create a Log Table.
 ```sql title="Flink SQL"
 CREATE TABLE log_table (
   order_id BIGINT,
@@ -25,7 +25,7 @@ CREATE TABLE log_table (
 );
 ```
 
-#### Insert data into the Log table.
+#### Insert Data into the Log Table.
 ```sql title="Flink SQL"
 CREATE TEMPORARY TABLE source (
   order_id BIGINT,
@@ -91,15 +91,15 @@ SELECT shop_id, user_id, num_orders FROM source;
 
 Fluss supports deleting data for primary-key tables in batch mode via `DELETE FROM` statement. Currently, only single data deletions based on the primary key are supported.
 
-* the primary key table
+* the Primary Key Table
 ```sql title="Flink SQL"
 -- DELETE statement requires batch mode
 SET 'execution.runtime-mode' = 'batch';
 ```
 
 ```sql title="Flink SQL"
 -- The condition must include all primary key equality conditions.
-DELETE FROM pk_table WHERE shop_id = 10000 and user_id = 123456;
+DELETE FROM pk_table WHERE shop_id = 10000 AND user_id = 123456;
 ```
 
 ## UPDATE
@@ -112,5 +112,5 @@ SET execution.runtime-mode = batch;
 
 ```sql title="Flink SQL"
 -- The condition must include all primary key equality conditions.
-UPDATE pk_table SET total_amount = 2 WHERE shop_id = 10000 and user_id = 123456;
+UPDATE pk_table SET total_amount = 2 WHERE shop_id = 10000 AND user_id = 123456;
 ```

website/docs/install-deploy/deploying-with-docker.md

@@ -316,7 +316,7 @@ volumes:
 
 ### Launch the components
 
-Save the `docker-compose.yaml` script and execute the `docker compose up -d` command in the same directory
+Save the `docker-compose.yml` script and execute the `docker compose up -d` command in the same directory
 to create the cluster.
 
 Run the below command to check the container status: