Skip to content

Latest commit

 

History

History
206 lines (147 loc) · 5.91 KB

Iceberg.md

File metadata and controls

206 lines (147 loc) · 5.91 KB
Raw

Apache Iceberg

Apache Iceberg source connector

Description

Source connector for Apache Iceberg. It can support batch and stream mode.

Key features

Options

name type required default value
catalog_name string yes -
catalog_type string yes -
uri string no -
warehouse string yes -
namespace string yes -
table string yes -
schema config no -
case_sensitive boolean no false
start_snapshot_timestamp long no -
start_snapshot_id long no -
end_snapshot_id long no -
use_snapshot_id long no -
use_snapshot_timestamp long no -
stream_scan_strategy enum no FROM_LATEST_SNAPSHOT
common-options no -

catalog_name [string]

User-specified catalog name.

catalog_type [string]

The optional values are:

  • hive: The hive metastore catalog.
  • hadoop: The hadoop catalog.

uri [string]

The Hive metastore’s thrift URI.

warehouse [string]

The location to store metadata files and data files.

namespace [string]

The iceberg database name in the backend catalog.

table [string]

The iceberg table name in the backend catalog.

case_sensitive [boolean]

If data columns where selected via schema [config], controls whether the match to the schema will be done with case sensitivity.

schema [config]

fields [Config]

Use projection to select data columns and columns order.

e.g.

schema {
    fields {
      f2 = "boolean"
      f1 = "bigint"
      f3 = "int"
      f4 = "bigint"
    }
}

start_snapshot_id [long]

Instructs this scan to look for changes starting from a particular snapshot (exclusive).

start_snapshot_timestamp [long]

Instructs this scan to look for changes starting from the most recent snapshot for the table as of the timestamp. timestamp – the timestamp in millis since the Unix epoch

end_snapshot_id [long]

Instructs this scan to look for changes up to a particular snapshot (inclusive).

use_snapshot_id [long]

Instructs this scan to look for use the given snapshot ID.

use_snapshot_timestamp [long]

Instructs this scan to look for use the most recent snapshot as of the given time in milliseconds. timestamp – the timestamp in millis since the Unix epoch

stream_scan_strategy [enum]

Starting strategy for stream mode execution, Default to use FROM_LATEST_SNAPSHOT if don’t specify any value. The optional values are:

  • TABLE_SCAN_THEN_INCREMENTAL: Do a regular table scan then switch to the incremental mode.
  • FROM_LATEST_SNAPSHOT: Start incremental mode from the latest snapshot inclusive.
  • FROM_EARLIEST_SNAPSHOT: Start incremental mode from the earliest snapshot inclusive.
  • FROM_SNAPSHOT_ID: Start incremental mode from a snapshot with a specific id inclusive.
  • FROM_SNAPSHOT_TIMESTAMP: Start incremental mode from a snapshot with a specific timestamp inclusive.

common options

Source plugin common parameters, please refer to Source Common Options for details.

Example

simple

source {
  Iceberg {
    catalog_name = "seatunnel"
    catalog_type = "hadoop"
    warehouse = "hdfs://your_cluster//tmp/seatunnel/iceberg/"
    namespace = "your_iceberg_database"
    table = "your_iceberg_table"
  }
}

Or

source {
  Iceberg {
    catalog_name = "seatunnel"
    catalog_type = "hive"
    uri = "thrift://localhost:9083"
    warehouse = "hdfs://your_cluster//tmp/seatunnel/iceberg/"
    namespace = "your_iceberg_database"
    table = "your_iceberg_table"
  }
}

column projection

source {
  Iceberg {
    catalog_name = "seatunnel"
    catalog_type = "hadoop"
    warehouse = "hdfs://your_cluster/tmp/seatunnel/iceberg/"
    namespace = "your_iceberg_database"
    table = "your_iceberg_table"

    schema {
      fields {
        f2 = "boolean"
        f1 = "bigint"
        f3 = "int"
        f4 = "bigint"
      }
    }
  }
}

:::tip

In order to be compatible with different versions of Hadoop and Hive, the scope of hive-exec and flink-shaded-hadoop-2 in the project pom file are provided, so if you use the Flink engine, first you may need to add the following Jar packages to <FLINK_HOME>/lib directory, if you are using the Spark engine and integrated with Hadoop, then you do not need to add the following Jar packages.

:::

flink-shaded-hadoop-x-xxx.jar
hive-exec-xxx.jar
libfb303-xxx.jar

Some versions of the hive-exec package do not have libfb303-xxx.jar, so you also need to manually import the Jar package.

Changelog

2.2.0-beta 2022-09-26

  • Add Iceberg Source Connector

next version

  • [Feature] Support Hadoop3.x (3046)
  • [improve][api] Refactoring schema parse (4157)