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Java API
Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad... -
DataStream Connector
Apache Kafka Connector JDBC Connector ClickHouse Connector Apache Doris Connector Elasticsearch Connector Apache HBase Connector HTTP Connector Redis Connector -
Using Kafka Connect
Try out the new experimental release of Hudi Kafka Connect Sink. Read the ReadMe for full documentation. -
Kafka-HDFS Ingestion
Getting Started Standalone MapReduce Job Constructs Source and Extractor Writer and Publisher Job Config Properties Metrics and Events Task Level Metrics Task Level Events ... -
Email
Description Key features Options email_from_address [string] email_to_address [string] email_host [string] email_transport_protocol [string] email_smtp_auth [string] email_a... -
Publishing Data to S3
Introduction Hadoop and S3 The s3a File System The s3 File System Getting Gobblin to Publish to S3 Signing Up For AWS Setting Up EC2 Launching an EC2 Instance EC2 Package I... -
4. Installing Ambari
To install Ambari server on a single host in your cluster, complete the following steps: Download the Ambari Repository Install the Ambari Server Set Up the Ambari Server -
Configuration
Configuration Table properties Iceberg tables support table properties to configure table behavior, like the default split size for readers. Read properties Property Defaul... -
3. 访问 Cloudera 存储库
这些部分描述了如何获取： Ambari 存储库 HDP Stack 存储库 访问 Ambari 存储库需要身份验证。有关更多信息，请参阅 访问 Ambari 存储库 部分 -
Design & Concepts
Apache Hudi Stack Timeline File Layouts Table & Query Types Indexing Write Operations Key Generation Record Payload Schema Evolution Metadata Table Concurrency Control
