yuqi1129 commented on code in PR #12434:
URL: https://github.com/apache/gravitino/pull/12434#discussion_r3793542187
##########
docs/fileset-catalog-with-cos.md:
##########
@@ -199,346 +196,367 @@ curl -X POST -H "Accept:
application/vnd.gravitino.v1+json" \
"properties": {
"k1": "v1"
}
-}'
http://localhost:8090/api/metalakes/metalake/catalogs/test_catalog/schemas/test_schema/filesets
+}'
http://localhost:8090/api/metalakes/metalake/catalogs/cos_catalog/schemas/cos_schema/filesets
```
</TabItem>
<TabItem value="java" label="Java">
```java
-GravitinoClient gravitinoClient = GravitinoClient
- .builder("http://localhost:8090";)
- .withMetalake("metalake")
- .build();
-
-Catalog catalog = gravitinoClient.loadCatalog("test_catalog");
+Catalog catalog = gravitinoClient.loadCatalog("cos_catalog");
FilesetCatalog filesetCatalog = catalog.asFilesetCatalog();
-Map<String, String> propertiesMap = ImmutableMap.<String, String>builder()
- .put("k1", "v1")
- .build();
+Map<String, String> filesetProperties = ImmutableMap.<String, String>builder()
+ .put("k1", "v1")
+ .build();
filesetCatalog.createFileset(
- NameIdentifier.of("test_schema", "example_fileset"),
+ NameIdentifier.of("cos_schema", "example_fileset"),
"This is an example fileset",
Fileset.Type.MANAGED,
"cosn://my-bucket-1250000000/root/schema/example_fileset",
- propertiesMap);
+ filesetProperties);
```
</TabItem>
<TabItem value="python" label="Python">
```python
-gravitino_client: GravitinoClient =
GravitinoClient(uri="http://localhost:8090";, metalake_name="metalake")
-
-catalog: Catalog = gravitino_client.load_catalog(name="test_catalog")
-catalog.as_fileset_catalog().create_fileset(ident=NameIdentifier.of("test_schema",
"example_fileset"),
- type=Fileset.Type.MANAGED,
- comment="This is an example
fileset",
-
storage_location="cosn://my-bucket-1250000000/root/schema/example_fileset",
- properties={"k1": "v1"})
+catalog: Catalog = gravitino_client.load_catalog(name="cos_catalog")
+catalog.as_fileset_catalog().create_fileset(
+ ident=NameIdentifier.of("cos_schema", "example_fileset"),
+ type=Fileset.Type.MANAGED,
+ comment="This is an example fileset",
+ storage_location="cosn://my-bucket-1250000000/root/schema/example_fileset",
+ properties={"k1": "v1"})
```
</TabItem>
</Tabs>
-## Access a Fileset with COS
+The fileset is now addressable as
+`gvfs://fileset/cos_catalog/cos_schema/example_fileset` from any GVFS client.
+
+## Access the Fileset
-### Access the Fileset with the GVFS Java Client
+### Client jars
-To access fileset with COS using the GVFS Java client, based on the [basic
GVFS configurations](./how-to-use-gvfs.md#configuration-1), you need to add the
following configurations:
+Every client needs `gravitino-filesystem-hadoop3-runtime`, which is published
on Maven Central,
+plus the Tencent Cloud COS filesystem implementation. Only the latter differs
by environment:
+
+| Environment | Jar providing the Tencent Cloud COS filesystem
|
+|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| No Hadoop installed |
[`gravitino-tencent-bundle`](https://mvnrepository.com/artifact/org.apache.gravitino/gravitino-tencent-bundle),
a fat jar bundling `hadoop-cos` and the Tencent Cloud COS Java SDK
|
+| Hadoop already present | `hadoop-cos-3.3.0-8.3.23.jar` and
`cos_api-bundle-5.6.227.jar`, published by Tencent Cloud on Maven Central and,
unlike `hadoop-aws` or `hadoop-aliyun`, not part of the Apache Hadoop
distribution |
+
+The artifacts in full:
+
+-
[`gravitino-tencent-bundle-${gravitino-version}.jar`](https://mvnrepository.com/artifact/org.apache.gravitino/gravitino-tencent-bundle):
+ a "fat" jar that includes the `gravitino-tencent` functionality together
with every dependency it needs,
+ such as `hadoop-cos` and the Tencent Cloud COS Java SDK. Use it when the
environment has no pre-existing Hadoop setup.
+-
[`gravitino-filesystem-hadoop3-runtime-${gravitino-version}.jar`](https://mvnrepository.com/artifact/org.apache.gravitino/gravitino-filesystem-hadoop3-runtime):
+ a "fat" jar that bundles the Gravitino virtual filesystem client and already
includes the
+ `gravitino-tencent` functionality. It is required for accessing Gravitino
filesets in every environment.
+- `hadoop-cos-3.3.0-8.3.23.jar` and `cos_api-bundle-5.6.227.jar`: the standard
Hadoop dependencies
+ for Tencent Cloud COS access, published by Tencent Cloud on Maven Central
and, unlike `hadoop-aws`
+ or `hadoop-aliyun`, not part of the Apache Hadoop distribution. Supply them
yourself when running
+ inside an existing Hadoop environment.
+
+```xml
+<!-- No Hadoop environment -->
+<dependency>
+ <groupId>org.apache.gravitino</groupId>
+ <artifactId>gravitino-tencent-bundle</artifactId>
+ <version>${GRAVITINO_VERSION}</version>
+</dependency>
+<dependency>
+ <groupId>org.apache.gravitino</groupId>
+ <artifactId>gravitino-filesystem-hadoop3-runtime</artifactId>
+ <version>${GRAVITINO_VERSION}</version>
+</dependency>
+```
-| Configuration item | Description
| Default
value | Required |
-|-------------------------|--------------------------------------------------------------------------------------------------------------------------|---------------|----------|
-| `cos-region` | The region of the Tencent Cloud COS bucket.
| (none)
| Yes |
-| `cos-endpoint` | The endpoint *suffix* of the Tencent Cloud COS
service (e.g. `cos.ap-guangzhou.myqcloud.com`, not a full URL). Optional. |
(none) | No |
-| `cos-access-key-id` | The access key ID (Tencent Cloud SecretId) for COS
data. | (none)
| Yes |
-| `cos-secret-access-key` | The secret access key (Tencent Cloud SecretKey)
for COS data. |
(none) | Yes |
+```xml
+<!-- Existing Hadoop environment -->
+<dependency>
+ <groupId>org.apache.hadoop</groupId>
+ <artifactId>hadoop-common</artifactId>
+ <version>${HADOOP_VERSION}</version>
+</dependency>
+<!-- hadoop-cos is published by Tencent Cloud, not by Apache Hadoop. -->
+<dependency>
+ <groupId>com.qcloud.cos</groupId>
+ <artifactId>hadoop-cos</artifactId>
+ <version>3.3.0-8.3.23</version>
+</dependency>
+<dependency>
+ <groupId>org.apache.gravitino</groupId>
+ <artifactId>gravitino-filesystem-hadoop3-runtime</artifactId>
+ <version>${GRAVITINO_VERSION}</version>
+</dependency>
+```
:::note
-If the catalog has enabled [credential
vending](security/credential-vending.md), the AK/SK properties above can be
omitted. More details can be found in [Fileset with credential
vending](#fileset-with-credential-vending).
+The thin `gravitino-tencent` jar is not needed. Its functionality is already
included in both
+`gravitino-tencent-bundle` and `gravitino-filesystem-hadoop3-runtime`.
:::
+### GVFS Java client
+
+On top of the [base GVFS configuration](./how-to-use-gvfs.md#configuration),
set the Tencent Cloud COS
+properties from the table above.
+
```java
Configuration conf = new Configuration();
conf.set("fs.AbstractFileSystem.gvfs.impl",
"org.apache.gravitino.filesystem.hadoop.Gvfs");
conf.set("fs.gvfs.impl",
"org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem");
conf.set("fs.gravitino.server.uri", "http://localhost:8090";);
-conf.set("fs.gravitino.client.metalake", "test_metalake");
+conf.set("fs.gravitino.client.metalake", "metalake");
conf.set("cos-region", "ap-guangzhou");
+conf.set("cos-endpoint", "cos.ap-guangzhou.myqcloud.com");
conf.set("cos-access-key-id", "access_key");
conf.set("cos-secret-access-key", "secret_key");
-Path filesetPath = new
Path("gvfs://fileset/test_catalog/test_schema/test_fileset/new_dir");
+
+Path filesetPath = new
Path("gvfs://fileset/cos_catalog/cos_schema/example_fileset/new_dir");
FileSystem fs = filesetPath.getFileSystem(conf);
fs.mkdirs(filesetPath);
-...
-```
-
-Similar to Spark configurations, you need to add COS (bundle) jars to the
classpath according to your environment.
-If you want to customise your hadoop version or there is already a hadoop
version in your project, you can add the following dependencies to your
`pom.xml`:
-
-```xml
- <dependency>
- <groupId>org.apache.hadoop</groupId>
- <artifactId>hadoop-common</artifactId>
- <version>${HADOOP_VERSION}</version>
- </dependency>
-
- <!-- hadoop-cos is published by Tencent Cloud, not by Apache Hadoop. -->
- <dependency>
- <groupId>com.qcloud.cos</groupId>
- <artifactId>hadoop-cos</artifactId>
- <version>3.3.0-8.3.23</version>
- </dependency>
-
- <dependency>
- <groupId>org.apache.gravitino</groupId>
- <artifactId>gravitino-filesystem-hadoop3-runtime</artifactId>
- <version>${GRAVITINO_VERSION}</version>
- </dependency>
-```
-
-:::note
-Unlike the S3, OSS, GCS and Azure connectors, COS does **not** ship with
Apache Hadoop. The HCFS adapter for COS is published by Tencent Cloud as
`com.qcloud.cos:hadoop-cos`. Make sure the version you pick is compatible with
your Hadoop version (the `<hadoop>-<sdk>` form encodes both, e.g.
`3.3.0-8.3.23` targets Hadoop 3.3.0).
-:::
-
-Or use the bundle jar with Hadoop environment if there is no Hadoop
environment:
-
-```xml
- <dependency>
- <groupId>org.apache.gravitino</groupId>
- <artifactId>gravitino-tencent-bundle</artifactId>
- <version>${GRAVITINO_VERSION}</version>
- </dependency>
-
- <dependency>
- <groupId>org.apache.gravitino</groupId>
- <artifactId>gravitino-filesystem-hadoop3-runtime</artifactId>
- <version>${GRAVITINO_VERSION}</version>
- </dependency>
```
-### Access the Fileset with Spark
+### Apache Spark
-The following code snippet shows how to use **PySpark 3.5.0 with Hadoop
environment(Hadoop 3.3.4)** to access the fileset:
-
-Before running the following code, you need to install required packages:
+The example below uses PySpark 3.5.0 in an environment that already has Hadoop
3.3.4.
```bash
pip install pyspark==3.5.0
pip install apache-gravitino==${GRAVITINO_VERSION}
```
-Then you can run the following code:
```python
-from pyspark.sql import SparkSession
import os
+from pyspark.sql import SparkSession
-gravitino_url = "http://localhost:8090";
-metalake_name = "test"
-
-catalog_name = "your_cos_catalog"
-schema_name = "your_cos_schema"
-fileset_name = "your_cos_fileset"
-
-# JDK8 as follows. JDK17 will be slightly different, you need to add
-# '--conf
"spark.driver.extraJavaOptions=--add-opens=java.base/sun.nio.ch=ALL-UNNAMED"
-# --conf
"spark.executor.extraJavaOptions=--add-opens=java.base/sun.nio.ch=ALL-UNNAMED"'
-# to the submit args.
+# On JDK 17, also add:
+# --conf
"spark.driver.extraJavaOptions=--add-opens=java.base/sun.nio.ch=ALL-UNNAMED"
+# --conf
"spark.executor.extraJavaOptions=--add-opens=java.base/sun.nio.ch=ALL-UNNAMED"
os.environ["PYSPARK_SUBMIT_ARGS"] = (
- "--jars "
- "/path/to/gravitino-filesystem-hadoop3-runtime-{gravitino-version}.jar,"
+ "--jars
/path/to/gravitino-filesystem-hadoop3-runtime-${gravitino-version}.jar,"
"/path/to/hadoop-cos-3.3.0-8.3.23.jar,"
"/path/to/cos_api-bundle-5.6.227.jar "
"--master local[1] pyspark-shell"
)
-spark = SparkSession.builder \
- .appName("cos_fileset_test") \
- .config("spark.hadoop.fs.AbstractFileSystem.gvfs.impl",
"org.apache.gravitino.filesystem.hadoop.Gvfs") \
- .config("spark.hadoop.fs.gvfs.impl",
"org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem") \
- .config("spark.hadoop.fs.gravitino.server.uri", gravitino_url) \
- .config("spark.hadoop.fs.gravitino.client.metalake", "test") \
- .config("spark.hadoop.cos-region", "ap-guangzhou") \
- .config("spark.hadoop.cos-access-key-id", os.environ["COS_ACCESS_KEY_ID"])
\
- .config("spark.hadoop.cos-secret-access-key",
os.environ["COS_SECRET_ACCESS_KEY"]) \
- .config("spark.driver.memory", "2g") \
- .config("spark.driver.port", "2048") \
- .getOrCreate()
+
+spark = (SparkSession.builder
+ .appName("cos_fileset")
+ .config("spark.hadoop.fs.AbstractFileSystem.gvfs.impl",
"org.apache.gravitino.filesystem.hadoop.Gvfs")
+ .config("spark.hadoop.fs.gvfs.impl",
"org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem")
+ .config("spark.hadoop.fs.gravitino.server.uri", "http://localhost:8090";)
+ .config("spark.hadoop.fs.gravitino.client.metalake", "metalake")
+ .config("spark.hadoop.cos-region", "ap-guangzhou")
+ .config("spark.hadoop.cos-endpoint", "cos.ap-guangzhou.myqcloud.com")
+ .config("spark.hadoop.cos-access-key-id", "access_key")
+ .config("spark.hadoop.cos-secret-access-key", "secret_key")
+ .config("spark.driver.memory", "2g")
+ .config("spark.driver.port", "2048")
+ .getOrCreate())
data = [("Alice", 25), ("Bob", 30), ("Cathy", 45)]
-columns = ["Name", "Age"]
-spark_df = spark.createDataFrame(data, schema=columns)
-gvfs_path =
f"gvfs://fileset/{catalog_name}/{schema_name}/{fileset_name}/people"
-
-spark_df.coalesce(1).write \
- .mode("overwrite") \
- .option("header", "true") \
- .csv(gvfs_path)
+spark_df = spark.createDataFrame(data, schema=["Name", "Age"])
+gvfs_path = "gvfs://fileset/cos_catalog/cos_schema/example_fileset/people"
+
+spark_df.coalesce(1).write.mode("overwrite").option("header",
"true").csv(gvfs_path)
```
-If your Spark is **without Hadoop environment**, you can use the following
code snippet to access the fileset:
+If Spark runs without a Hadoop environment, only the jar list changes:
```python
-## Only the PYSPARK_SUBMIT_ARGS line below changes; keep all the
SparkSession.builder.config(...)
-## calls (including spark.hadoop.cos-region / cos-access-key-id /
cos-secret-access-key) above as-is.
-
-os.environ["PYSPARK_SUBMIT_ARGS"] = "--jars
/path/to/gravitino-tencent-bundle-{gravitino-version}.jar,/path/to/gravitino-filesystem-hadoop3-runtime-{gravitino-version}.jar
--master local[1] pyspark-shell"
+os.environ["PYSPARK_SUBMIT_ARGS"] = (
+ "--jars /path/to/gravitino-tencent-bundle-${gravitino-version}.jar,"
+ "/path/to/gravitino-filesystem-hadoop3-runtime-${gravitino-version}.jar "
+ "--master local[1] pyspark-shell"
+)
```
--
[`gravitino-tencent-bundle-${gravitino-version}.jar`](https://mvnrepository.com/artifact/org.apache.gravitino/gravitino-tencent-bundle):
A "fat" JAR that includes `gravitino-tencent` functionality and all necessary
dependencies like `hadoop-cos` and the Tencent Cloud COS Java SDK. Use this if
your Spark environment doesn't have a pre-existing Hadoop setup.
--
[`gravitino-filesystem-hadoop3-runtime-${gravitino-version}.jar`](https://mvnrepository.com/artifact/org.apache.gravitino/gravitino-filesystem-hadoop3-runtime):
A "fat" JAR that bundles Gravitino's virtual filesystem client and includes
the functionality of `gravitino-tencent`. It is required for accessing
Gravitino filesets.
-
-Please choose the correct jar according to your environment.
-
:::note
-In some Spark versions, a Hadoop environment is needed by the driver, adding
the bundle jars with `--jars` may not work. If this is the case, you should add
the jars to the spark CLASSPATH directly.
+Some Spark versions need a Hadoop environment in the driver and do not pick up
filesystem
+implementations passed with `--jars`. If that happens, add the jars to the
Spark classpath directly.
:::
-### Access a Fileset Using the Hadoop Fs Command
-
-The following are examples of how to use the `hadoop fs` command to access the
fileset in Hadoop 3.1.3:
+### Hadoop fs command
-1. Add the following contents to the `${HADOOP_HOME}/etc/hadoop/core-site.xml`
file:
+1. Add the following to `${HADOOP_HOME}/etc/hadoop/core-site.xml`:
```xml
- <property>
- <name>fs.AbstractFileSystem.gvfs.impl</name>
- <value>org.apache.gravitino.filesystem.hadoop.Gvfs</value>
- </property>
-
- <property>
- <name>fs.gvfs.impl</name>
-
<value>org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem</value>
- </property>
-
- <property>
- <name>fs.gravitino.server.uri</name>
- <value>http://localhost:8090</value>
- </property>
-
- <property>
- <name>fs.gravitino.client.metalake</name>
- <value>test</value>
- </property>
-
- <property>
- <name>cos-region</name>
- <value>ap-guangzhou</value>
- </property>
-
- <property>
- <name>cos-access-key-id</name>
- <value>access-key</value>
- </property>
-
- <property>
- <name>cos-secret-access-key</name>
- <value>secret-key</value>
- </property>
+<property>
+ <name>fs.AbstractFileSystem.gvfs.impl</name>
+ <value>org.apache.gravitino.filesystem.hadoop.Gvfs</value>
+</property>
+<property>
+ <name>fs.gvfs.impl</name>
+
<value>org.apache.gravitino.filesystem.hadoop.GravitinoVirtualFileSystem</value>
+</property>
+<property>
+ <name>fs.gravitino.server.uri</name>
+ <value>http://localhost:8090</value>
+</property>
+<property>
+ <name>fs.gravitino.client.metalake</name>
+ <value>metalake</value>
+</property>
+<property>
+ <name>cos-region</name>
+ <value>ap-guangzhou</value>
+</property>
+<property>
+ <name>cos-endpoint</name>
+ <value>cos.ap-guangzhou.myqcloud.com</value>
+</property>
+<property>
+ <name>cos-access-key-id</name>
+ <value>access_key</value>
+</property>
+<property>
+ <name>cos-secret-access-key</name>
+ <value>secret_key</value>
+</property>
```
-2. Add the necessary jars to the Hadoop classpath.
+2. Add these jars to the Hadoop classpath:
-For COS, you need to add
`gravitino-filesystem-hadoop3-runtime-${gravitino-version}.jar`,
`hadoop-cos-3.3.0-8.3.23.jar` and `cos_api-bundle-5.6.227.jar` to the Hadoop
classpath. Unlike `hadoop-aws` or `hadoop-aliyun`, these jars are *not* part of
the Apache Hadoop distribution; download them from Maven Central and place them
under `${HADOOP_HOME}/share/hadoop/tools/lib/`.
+ - `gravitino-filesystem-hadoop3-runtime-${gravitino-version}.jar`, from
Maven Central.
+ - `hadoop-cos-3.3.0-8.3.23.jar` and `cos_api-bundle-5.6.227.jar`, published
by Tencent Cloud on Maven Central and, unlike `hadoop-aws` or `hadoop-aliyun`,
not part of the Apache Hadoop distribution.
-3. Run the following command to access the fileset:
+3. Access the fileset:
```shell
-./${HADOOP_HOME}/bin/hadoop fs -ls
gvfs://fileset/cos_catalog/cos_schema/cos_fileset
-./${HADOOP_HOME}/bin/hadoop fs -put /path/to/local/file
gvfs://fileset/cos_catalog/cos_schema/cos_fileset
+${HADOOP_HOME}/bin/hadoop fs -ls
gvfs://fileset/cos_catalog/cos_schema/example_fileset
+${HADOOP_HOME}/bin/hadoop fs -put /path/to/local/file
gvfs://fileset/cos_catalog/cos_schema/example_fileset
```
-### Access the Fileset with the GVFS Python Client / Pandas
+### GVFS Python client
Review Comment:
Restore the word that COS does not support Python GVFS/pandas.
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