Fix several document errors

apache · Jan 15, 2025 · 3897d9b · 3897d9b
1 parent 39ad18a
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diff --git a/docs/hadoop-catalog-with-gcs.md b/docs/hadoop-catalog-with-gcs.md
@@ -47,7 +47,7 @@ Refer to [Fileset configurations](./hadoop-catalog.md#fileset-properties) for mo
 
 This section will show you how to use the Hadoop catalog with GCS in Gravitino, including detailed examples.
 
-### Create a Hadoop catalog with GCS
+### Step1: Create a Hadoop catalog with GCS
 
 First, you need to create a Hadoop catalog with GCS. The following example shows how to create a Hadoop catalog with GCS:
 

diff --git a/docs/hadoop-catalog-with-oss.md b/docs/hadoop-catalog-with-oss.md
@@ -123,7 +123,7 @@ oss_catalog = gravitino_client.create_catalog(name="test_catalog",
 </TabItem>
 </Tabs>
 
-Step 2: Create a Schema
+### Step 2: Create a Schema
 
 Once the Hadoop catalog with OSS is created, you can create a schema inside that catalog. Below are examples of how to do this:
 
@@ -174,11 +174,10 @@ catalog.as_schemas().create_schema(name="test_schema",
 </Tabs>
 
 
-### Create a fileset
+### Step3: Create a fileset
 
 Now that the schema is created, you can create a fileset inside it. Here’s how:
 
-
 <Tabs groupId="language" queryString>
 <TabItem value="shell" label="Shell">
 

diff --git a/docs/hive-catalog-with-cloud-storage.md b/docs/hive-catalog-with-cloud-storage.md
@@ -84,8 +84,14 @@ cp ${HADOOP_HOME}/share/hadoop/tools/lib/*aws* ${HIVE_HOME}/lib
 
 # For Azure Blob Storage(ADLS)
 cp ${HADOOP_HOME}/share/hadoop/tools/lib/*azure* ${HIVE_HOME}/lib
+
+# For Google Cloud Storage(GCS)
+cp gcs-connector-hadoop3-2.2.22-shaded.jar ${HIVE_HOME}/lib
 ```
 
+[`gcs-connector-hadoop3-2.2.22-shaded.jar`](https://github.com/GoogleCloudDataproc/hadoop-connectors/releases/download/v2.2.22/gcs-connector-hadoop2-2.2.22-shaded.jar) is the bundle jar that contains Hadoop GCS connector, you need to choose the corresponding gcs connector jar for the version of Hadoop you are using.
+
+
 Alternatively, you can download the required JARs from the Maven repository and place them in the Hive classpath. It is crucial to verify that the JARs are compatible with the version of Hadoop you are using to avoid any compatibility issue.
 
 ### Restart Hive metastore