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support all pg types
[FLINK-38141][pipeline-connector/iceberg] Fix iceberg connector incorrect type mapping (#4070) --------- Co-authored-by: zhangchao.doovvv <zhangchao.doovvv@bytedance.com> [minor] Fix potential sql connection statement issue (#4069) [FLINK-38185][pipeline-connector][iceberg] Correctly handle the type conversion of TIMESTAMP_TITH_TIME_ZONE. (#4074) [tests][pipeline-connector/fluss] Add MySQL to Fluss E2e IT case (#4057) * [ci][fluss] Add MySQL to Fluss E2e IT case Signed-off-by: yuxiqian <34335406+yuxiqian@users.noreply.github.com> * add: comments Signed-off-by: yuxiqian <34335406+yuxiqian@users.noreply.github.com> --------- Signed-off-by: yuxiqian <34335406+yuxiqian@users.noreply.github.com> [FLINK-38184] one time of GetCopyOfBuffer is enough When serializing split. (#4073) [FLINK-38164][pipeline-connector/mysql] support mysql long and long varchar type (#4076) --------- Co-authored-by: zhangchao.doovvv <zhangchao.doovvv@bytedance.com> [FLINK-37828] Enable scan.incremental.snapshot.unbounded-chunk-first by default for improved stability (#4082) [FLINK-38194][pipeline-connector/iceberg] Iceberg connector supports auto-creating namespace (#4080) --------- Co-authored-by: zhangchao.doovvv <zhangchao.doovvv@bytedance.com> [FLINK-37905][runtime] Fix transform failure with non-ascii string literals (#4038) * [FLINK-37905] Fix transform failure with non-ascii string literals * address comments Signed-off-by: yuxiqian <34335406+yuxiqian@users.noreply.github.com> --------- Signed-off-by: yuxiqian <34335406+yuxiqian@users.noreply.github.com> [FLINK-38142] Upgrading the Paimon version to 1.2.0 (#4066) [FLINK-37963] Fix potential NPE when triggering JobManager failover prematurely (#4044) fixed decimal add test fixed decimal mode test add all types [FLINK-38059][doc] Add fluss pipeline connector documentation (#4088) Co-authored-by: wangjunbo <wangjunbo@qiyi.com> [FLINK-37835] Fix NoPointException when start with latest-offset. (#4091) --------- Co-authored-by: wuzexian <shanqing.wzx@alibaba-inc.com> [FLINK-38188][pipeline-connector][postgres] Fix database name validation logic in PostgresDataSourceFactory (#4075) --------- Co-authored-by: lvyanquan <lvyanquan.lyq@alibaba-inc.com> [hotfix][doc] Update uses of Upload documentation in build_docs.yml. (#4093) [FLINK-38204][pipeline-connector][maxcompute] Use getLatestEvolvedSchema to get Schema in SessionManageOperator in case of using route. #4094 Co-authored-by: wuzexian <shanqing.wzx@alibaba-inc.com> back
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‎.github/workflows/build_docs.yml

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docker run --rm --volume "$PWD:/root/flink-cdc" chesnay/flink-ci:java_8_11_17_21_maven_386 bash -c "cd /root/flink-cdc && chmod +x ./.github/workflows/docs.sh && ./.github/workflows/docs.sh"
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- name: Upload documentation
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uses: burnett01/rsync-deployments@5.2
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uses: burnett01/rsync-deployments@0dc935cdecc5f5e571865e60d2a6cdc673704823
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with:
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switches: --archive --compress --delete
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path: docs/target/
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- name: Upload documentation alias
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if: env.flink_alias != ''
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uses: burnett01/rsync-deployments@5.2
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uses: burnett01/rsync-deployments@0dc935cdecc5f5e571865e60d2a6cdc673704823
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with:
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switches: --archive --compress --delete
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path: docs/target/

‎docs/content.zh/docs/connectors/flink-sources/db2-cdc.md

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<tr>
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<td>scan.incremental.snapshot.unbounded-chunk-first.enabled</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">false</td>
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<td style="word-wrap: break-word;">true</td>
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<td>Boolean</td>
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<td>
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Whether to assign the unbounded chunks first during snapshot reading phase.<br>
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This might help reduce the risk of the TaskManager experiencing an out-of-memory (OOM) error when taking a snapshot of the largest unbounded chunk.<br>
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Experimental option, defaults to false.
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</td>
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</tr>
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‎docs/content.zh/docs/connectors/flink-sources/mongodb-cdc.md

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<td>scan.incremental.snapshot.unbounded-chunk-first.enabled</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">false</td>
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<td style="word-wrap: break-word;">true</td>
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<td>Boolean</td>
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<td>
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快照读取阶段是否先分配 UnboundedChunk。<br>
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这有助于降低 TaskManager 在快照阶段同步最后一个chunk时遇到内存溢出 (OOM) 的风险。<br>
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这是一项实验特性，默认为 false。
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‎docs/content.zh/docs/connectors/flink-sources/mysql-cdc.md

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<td>scan.incremental.snapshot.unbounded-chunk-first.enabled</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">false</td>
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<td style="word-wrap: break-word;">true</td>
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<td>Boolean</td>
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<td>
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快照读取阶段是否先分配 UnboundedChunk。<br>
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这是一项实验特性，默认为 false。
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‎docs/content.zh/docs/connectors/flink-sources/oracle-cdc.md

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<td>scan.incremental.snapshot.unbounded-chunk-first.enabled</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">true</td>
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<td>Boolean</td>
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Whether to assign the unbounded chunks first during snapshot reading phase.<br>
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This might help reduce the risk of the TaskManager experiencing an out-of-memory (OOM) error when taking a snapshot of the largest unbounded chunk.<br>
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Experimental option, defaults to false.
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‎docs/content.zh/docs/connectors/flink-sources/postgres-cdc.md

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<td>scan.incremental.snapshot.unbounded-chunk-first.enabled</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">true</td>
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<td>
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Whether to assign the unbounded chunks first during snapshot reading phase.<br>
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Experimental option, defaults to false.
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‎docs/content.zh/docs/connectors/flink-sources/sqlserver-cdc.md

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<td>optional</td>
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Whether to assign the unbounded chunks first during snapshot reading phase.<br>
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‎docs/content.zh/docs/connectors/pipeline-connectors/fluss.md

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---
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title: "Fluss"
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weight: 4
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type: docs
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aliases:
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- /connectors/pipeline-connectors/fluss
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---
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<!--
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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-->
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# Fluss Pipeline 连接器
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Fluss Pipeline 连接器可用作 Pipeline 的 *Data Sink*，将数据写入 [Fluss](https://fluss.apache.org)。本文档介绍如何配置 Fluss Pipeline 连接器。
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## What can the connector do?
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* 自动创建不存在的表
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* 数据同步
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How to create Pipeline
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----------------
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从 MySQL 读取数据并写入 Fluss 的 Pipeline 可定义如下：
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```yaml
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source:
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type: mysql
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name: MySQL Source
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hostname: 127.0.0.1
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port: 3306
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username: admin
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password: pass
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tables: adb.\.*, bdb.user_table_[0-9]+, [app|web].order_\.*
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server-id: 5401-5404
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sink:
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type: fluss
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name: Fluss Sink
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bootstrap.servers: localhost:9123
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# Security-related properties for the Fluss client
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properties.client.security.protocol: sasl
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properties.client.security.sasl.mechanism: PLAIN
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properties.client.security.sasl.username: developer
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properties.client.security.sasl.password: developer-pass
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pipeline:
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name: MySQL to Fluss Pipeline
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parallelism: 2
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```
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Pipeline Connector Options
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----------------
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<div class="highlight">
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<table class="colwidths-auto docutils">
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<thead>
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<tr>
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<th class="text-left" style="width: 25%">Option</th>
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<th class="text-left" style="width: 8%">Required</th>
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<th class="text-left" style="width: 7%">Default</th>
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<th class="text-left" style="width: 10%">Type</th>
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<th class="text-left" style="width: 50%">Description</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>type</td>
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<td>required</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>指定要使用的连接器, 这里需要设置成 <code>'fluss'</code>。 </td>
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</tr>
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<tr>
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<td>name</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>Sink 的名称。 </td>
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</tr>
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<tr>
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<td>bootstrap.servers</td>
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<td>required</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>用于建立与 Fluss 集群初始连接的主机/端口对列表。 </td>
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</tr>
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<tr>
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<td>bucket.key</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>指定每个 Fluss 表的数据分布策略。表之间用 ';' 分隔，分桶键之间用 ',' 分隔。格式：database1.table1:key1,key2;database1.table2:key3。
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数据将根据分桶键的哈希值分配到各个桶中（分桶键必须是主键的子集，且不包含主键表的分区键）。
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若表有主键但未指定分桶键，则分桶键默认为主键（不含分区键）；若表无主键且未指定分桶键，则数据将随机分配到各个桶中。 </td>
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</tr>
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<tr>
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<td>bucket.num</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>每个 Fluss 表的桶数量。表之间用 ';' 分隔。格式：database1.table1:4;database1.table2:8。 </td>
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</tr>
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<tr>
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<td>properties.table.*</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>将 Fluss table 支持的参数传递给 pipeline，参考，See <a href="https://fluss.apache.org/docs/engine-flink/options/#storage-options">Fluss table options</a>. </td>
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</tr>
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<tr>
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<td>properties.client.*</td>
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<td>optional</td>
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<td style="word-wrap: break-word;">(none)</td>
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<td>String</td>
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<td>将 Fluss client 支持的参数传递给 pipeline，See <a href="https://fluss.apache.org/docs/engine-flink/options/#write-options">Fluss client options</a>. </td>
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</tr>
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</tbody>
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</table>
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</div>
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## 使用说明
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* 支持 Fluss 主键表和日志表。
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* 关于自动建表
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* 没有分区键
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* 桶数量由 `bucket.num` 选项控制
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* 数据分布由 `bucket.key` 选项控制。对于主键表，若未指定分桶键，则分桶键默认为主键（不含分区键）；对于无主键的日志表，若未指定分桶键，则数据将随机分配到各个桶中。
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* 不支持 schema 变更同步。如果需要忽略 schema 变更，可使用 `schema.change.behavior: IGNORE`。
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* 关于数据同步， Pipeline 连接器使用 [Fluss Java Client](https://fluss.apache.org/docs/apis/java-client/) 向 Fluss 写入数据.
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Data Type Mapping
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----------------
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<div class="wy-table-responsive">
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<table class="colwidths-auto docutils">
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<thead>
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<tr>
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<th class="text-left">Flink CDC type</th>
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<th class="text-left">Fluss type</th>
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<th class="text-left" style="width:60%;">Note</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>TINYINT</td>
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<td>TINYINT</td>
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<td></td>
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</tr>
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<tr>
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<td>SMALLINT</td>
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<td>SMALLINT</td>
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<td></td>
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</tr>
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<tr>
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<td>INT</td>
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<td>INT</td>
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<td></td>
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</tr>
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<tr>
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<td>BIGINT</td>
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<td>BIGINT</td>
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<td></td>
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</tr>
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<tr>
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<td>FLOAT</td>
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<td>FLOAT</td>
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<td></td>
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</tr>
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<tr>
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<td>DOUBLE</td>
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<td>DOUBLE</td>
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<td></td>
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</tr>
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<tr>
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<td>DECIMAL(p, s)</td>
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<td>DECIMAL(p, s)</td>
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<td></td>
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</tr>
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<tr>
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<td>BOOLEAN</td>
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<td>BOOLEAN</td>
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<td></td>
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</tr>
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<tr>
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<td>DATE</td>
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<td>DATE</td>
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<td></td>
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</tr>
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<tr>
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<td>TIME</td>
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<td>TIME</td>
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<td></td>
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<td>TIMESTAMP</td>
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<td>TIMESTAMP</td>
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<td></td>
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</tr>
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<td>TIMESTAMP_LTZ</td>
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<td>TIMESTAMP_LTZ</td>
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<td></td>
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<tr>
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<td>CHAR(n)</td>
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<td>CHAR(n)</td>
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<td></td>
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</tr>
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<tr>
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<td>VARCHAR(n)</td>
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<td>VARCHAR(n)</td>
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<td></td>
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<td>BINARY(n)</td>
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<td>BINARY(n)</td>
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<td></td>
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</tr>
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<tr>
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<td>VARBINARY(N)</td>
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<td>BYTES</td>
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<td></td>
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</tr>
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</tbody>
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</table>
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</div>
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{{< top >}}

‎docs/content.zh/docs/connectors/pipeline-connectors/mysql.md

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‎docs/content/docs/connectors/flink-sources/db2-cdc.md

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</tbody>

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