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RHEL/CentOS/Oracle Linux 7
步骤 下一步 更多信息 在可以访问 Internet 的服务器主机上，使用命令行编辑器执行以下操作 步骤 在安装 Ambari 之前，您必须更新 ambari.repo 文件中的 username 和 password 。运行以下命令： vi /etc/yum.repos.d/ambari.repo 例如，输出显示以下内容： ... -
Annotations
@PersistenceCapable @PersistenceAware @Cacheable @EmbeddedOnly @Inheritance @Discriminator @DatastoreIdentity @Version @PrimaryKey @FetchPlans @FetchPlan @FetchGroups @... -
ClickhouseFile
Description Key features Options host [string] database [string] table [string] username [string] password [string] sharding_key [string] clickhouse_local_path [string] co... -
Batch Writes
Spark DataSource API The hudi-spark module offers the DataSource API to write a Spark DataFrame into a Hudi table. There are a number of options available: HoodieWriteConfig :... -
Set Up the Ambari Server
More Information Before starting the Ambari Server, you must set up the Ambari Server. Setup configures Ambari to talk to the Ambari database, installs the JDK and allows you to... -
Hive
Description Key features Options table_name [string] metastore_uri [string] hdfs_site_path [string] hive_site_path [string] hive.hadoop.conf [map] hive.hadoop.conf-path [str... -
Scan Executors
Configuring and using Scan Executors Configuring and using Scan Prioritizers. Providing hints from the client side. Accumulo scans operate by repeatedly fetching batches of dat... -
Preparing the Ambari Repository Configuration File to Use the Local Repository
Steps Base URL for a Local Repository Next Steps More Information Steps Download the ambari.repo file from the public repository: https :// username : password@archive .... -
SQL Server
Support SQL Server Version Support Those engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Supported DataSource Info Databa... -
Fetch Plan/Groups
Default Fetch Group Named Fetch Groups Dynamic Fetch Groups Fetch Depth Fetch Size When an object is retrieved from the datastore by JDO typically not all fields are retrieve...
