Interconnecting Hudi with OBS

Log in to the client installation node as the client installation user.
Run the following commands to configure environment variables:
source Client installation directory/bigdata_env

source Client installation directory/Hudi/component_env
Modify the configuration file:
vim Client installation directory/Hudi/hudi/conf/hdfs-site.xml
```
<property>
<name>dfs.namenode.acls.enabled</name>
<value>false</value>
</property>
```
For a security cluster, run the following command to perform user authentication. If Kerberos authentication is not enabled for the current cluster, you do not need to run this command.
kinit Username
Start spark-shell and run the following commands to create a COW table and save it in OBS:
import org.apache.hudi.QuickstartUtils._

import scala.collection.JavaConversions._

import org.apache.spark.sql.SaveMode._

import org.apache.hudi.DataSourceReadOptions._

import org.apache.hudi.DataSourceWriteOptions._

import org.apache.hudi.config.HoodieWriteConfig._

val tableName = "hudi_cow_table"

val basePath = "obs://testhudi/cow_table/"

val dataGen = new DataGenerator

val inserts = convertToStringList(dataGen.generateInserts(10))

val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))

df.write.format("org.apache.hudi").

options(getQuickstartWriteConfigs).

option(PRECOMBINE_FIELD_OPT_KEY, "ts").

option(RECORDKEY_FIELD_OPT_KEY, "uuid").

option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").

option(TABLE_NAME, tableName).

mode(Overwrite).

save(basePath);

obs://testhudi/cow_table/ is the OBS path, and testhudi is the bucket name. Change them based on site requirements.
Use DataSource to check whether the table is successfully created and whether the data is normal.
val roViewDF = spark.

read.

format("org.apache.hudi").

load(basePath + "/*/*/*/*")

roViewDF.createOrReplaceTempView("hudi_ro_table")

spark.sql("select * from hudi_ro_table").show()
Run the :q command to exit the spark-shell CLI.