Ambari3.0集成Flink 2.2+Paimon1.4

docsz2026-05-21 9:50

1、Flink部署

分发各节点

powershell 复制代码 
ansible cluster -m copy -a "src=/opt/software/flink-2.2.1-bin-scala_2.12.tgz dest=/opt/software"

解压

powershell 复制代码 
ansible cluster -m shell -a "tar -zxf /opt/software/flink-2.2.1-bin-scala_2.12.tgz -C /usr/bigtop/3.3.0/usr/lib/ && chown -R root:root /usr/bigtop/3.3.0/usr/lib/flink-2.2.1 && chmod -R 755 /usr/bigtop/3.3.0/usr/lib/flink-2.2.1"

创建软连接

powershell 复制代码 
ansible cluster -m shell -a "ln -s /usr/bigtop/3.3.0/usr/lib/flink-2.2.1 /usr/bigtop/current/flink"

修改log目录权限

powershell 复制代码 
ansible cluster -m shell -a "chmod 777 /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/log"

修改配置

powershell 复制代码 
# These parameters are required for Java 17 support.
# They can be safely removed when using Java 8/11.
env:
  java:
    opts:
      all: --add-exports=java.rmi/sun.rmi.registry=ALL-UNNAMED --add-exports=jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED --add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED --add-exports=jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED --add-exports=jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED --add-exports=jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED --add-exports=java.security.jgss/sun.security.krb5=ALL-UNNAMED --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED -

# log4j 2 configuration
  log:
    level: TRACE
    max: 5
    dir: /data/flink/logs

#==============================================================================
# Common
#==============================================================================

jobmanager:
  bind-host: 0.0.0.0
  rpc:
    address: 0.0.0.0
    port: 6123
  memory:
    process:
      size: 1024m
  execution:
    failover-strategy: region

taskmanager:
  bind-host: 0.0.0.0
  host: 0.0.0.0
  numberOfTaskSlots: 1
  memory:
    process:
      size: 2048m

parallelism:
  default: 1

fs:
  default-scheme: hdfs://hdfs-ha

#==============================================================================
# Fault tolerance and checkpointing
#==============================================================================

execution:
  checkpointing:
    interval: 3min
    externalized-checkpoint-retention: RETAIN_ON_CANCELLATION
    max-concurrent-checkpoints: 1
    min-pause: 1min
    mode: EXACTLY_ONCE
    timeout: 15min
    tolerable-failed-checkpoints: 2
    unaligned: false
    incremental: true
    dir: hdfs://hdfs-ha/flink/checkpoints
    savepoint-dir: hdfs://hdfs-ha/flink/savepoints

state:
  backend:
    type: rocksdb

#==============================================================================
# Rest & web frontend
#==============================================================================

rest:
  address: 0.0.0.0
    bind-address: 0.0.0.0
#    port: 8081
#    bind-port: 8080-8090

web:
  submit:
    enable: true
  cancel:
    enable: true

#==============================================================================
# Advanced
#==============================================================================

# 优先使用任务Jar包里的类，而不是Flink自身lib里的类
classloader:
  resolve:
    order: child-first

taskmanager:
  memory:
    network:
      fraction: 0.1
      min: 64mb
      max: 1gb

#==============================================================================
# Flink Cluster Security Configuration
#==============================================================================

# security:
#   kerberos:
#     login:
#       use-ticket-cache: true
#       keytab: /path/to/kerberos/keytab
#       principal: flink-user
#       # The configuration below defines which JAAS login contexts
#       contexts: Client,KafkaClient

#==============================================================================
# ZK Security Configuration
#==============================================================================

# zookeeper:
#   sasl:
#     # Below configurations are applicable if ZK ensemble is configured for security
#     #
#     # Override below configuration to provide custom ZK service name if configured
#     # zookeeper.sasl.service-name: zookeeper
#     #
#     # The configuration below must match one of the values set in "security.kerberos.login.contexts"
#     login-context-name: Client

#==============================================================================
# HistoryServer
#==============================================================================

jobmanager:
  archive:
    fs:
      dir: hdfs://hdfs-ha/flink/completed-jobs/

historyserver:
  web:
    address: 0.0.0.0
    port: 8082
  archive:
    fs:
      dir: hdfs://hdfs-ha/flink/completed-jobs/
      fs.refresh-interval: 10000

2.1、WindowJoin

powershell 复制代码 
sudo -u hive \
env JAVA_HOME=/usr/java/jdk-17.0.8 \
env PATH=$JAVA_HOME/bin:$PATH \
env env HADOOP_CLASSPATH=$(hadoop classpath) \
/usr/bigtop/current/flink/bin/flink run \
-t yarn-application \
-Denv.java.home=/usr/java/jdk-17.0.8 \
-Dcontainerized.master.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dcontainerized.taskmanager.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dyarn.application.name=WindowJoin \
-c org.apache.flink.streaming.examples.join.WindowJoin \
/usr/bigtop/current/flink/examples/streaming/WindowJoin.jar \
--windowSize 5000 \
--rate 10

2.2、TopSpeedWindowing

powershell 复制代码 
sudo -u hdfs \
env JAVA_HOME=/usr/java/jdk-17.0.8 \
env PATH=$JAVA_HOME/bin:$PATH \
env env HADOOP_CLASSPATH=$(hadoop classpath) \
/usr/bigtop/current/flink/bin/flink run \
-t yarn-application \
-Denv.java.home=/usr/java/jdk-17.0.8 \
-Dcontainerized.master.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dcontainerized.taskmanager.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
/usr/bigtop/current/flink/examples/streaming/TopSpeedWindowing.jar

3、集成Paimon

3.1、Paimon Jars

下载jars：https://flink.apache.org/downloads/

powershell 复制代码 
ansible cluster -m shell -a  "wget https://repo.maven.apache.org/maven2/org/apache/paimon/paimon-flink-action/1.4.1/paimon-flink-action-1.4.1.jar -O /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/paimon-flink-action-1.4.1.jar"

ansible cluster -m shell -a  "wget https://repo.maven.apache.org/maven2/org/apache/paimon/paimon-flink-2.2/1.4.1/paimon-flink-2.2-1.4.1.jar -O /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/paimon-flink-2.2-1.4.1.jar"

ansible cluster -m shell -a  "wget https://repo.maven.apache.org/maven2/org/apache/flink/flink-shaded-hadoop-2-uber/2.8.3-10.0/flink-shaded-hadoop-2-uber-2.8.3-10.0.jar -O /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/flink-shaded-hadoop-2-uber-2.8.3-10.0.jar"

ansible cluster -m shell -a  "chmod -R 755 /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib"

4、Paimon Catalogs

4.1、Filesystem Catalog

启动Flink Yarn Session集群

powershell 复制代码 
sudo -u hdfs \
env JAVA_HOME=/usr/java/jdk-17.0.8 \
env PATH=$JAVA_HOME/bin:$PATH \
env env HADOOP_CLASSPATH=$(hadoop classpath) \
/usr/bigtop/current/flink/bin/yarn-session.sh \
-nm yarn-session -tm 1024m -s 3 -d \
-Denv.java.home=/usr/java/jdk-17.0.8 \
-Dcontainerized.master.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dcontainerized.taskmanager.env.JAVA_HOME=/usr/java/jdk-17.0.8

启动Flink SQL Client

powershell 复制代码 
sudo -u hdfs \
env JAVA_HOME=/usr/java/jdk-17.0.8 \
env PATH=$JAVA_HOME/bin:$PATH \
env env HADOOP_CLASSPATH=$(hadoop classpath) \
/usr/bigtop/current/flink/bin/sql-client.sh -s yarn-session \
-Denv.java.home=/usr/java/jdk-17.0.8 \
-Dcontainerized.master.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dcontainerized.taskmanager.env.JAVA_HOME=/usr/java/jdk-17.0.8

设置结果显示模式

powershell 复制代码 
SET 'sql-client.execution.result-mode' = 'tableau';

文件系统Catalog

powershell 复制代码 
create catalog hdfs_catalog with (
    'type'='paimon',
    'warehouse'='hdfs://hdfs-ha/paimon/hdfs'
);

查看catalogs

powershell 复制代码 
show catalogs;

use catalog hdfs_catalog;

show current catalog;

创建表

powershell 复制代码 
create table word_count (
    word string primary key not enforced,
    calc bigint
);

写入数据

powershell 复制代码 
create temporary table word_table (
    word string
) with (
    'connector' = 'datagen',
    'fields.word.length' = '1',
    'rows-per-second' = '10'
);

set 'execution.checkpointing.interval' = '10 s';

insert into word_count select word, count(*) from word_table group by word;
sql 复制代码 
Setting HBASE_CONF_DIR=/etc/hbase/conf because no HBASE_CONF_DIR was set.
find: Failed to restore initial working directory: /root: Permission denied
find: Failed to restore initial working directory: /root: Permission denied
find: Failed to restore initial working directory: /root: Permission denied
find: Failed to restore initial working directory: /root: Permission denied
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/log4j-slf4j-impl-2.24.3.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/bigtop/3.3.0/usr/lib/hadoop/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/bigtop/3.3.0/usr/lib/tez/lib/slf4j-reload4j-1.7.36.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2026-05-18 17:09:16,601 INFO  org.apache.flink.yarn.cli.FlinkYarnSessionCli                [] - Found Yarn properties file under /tmp/.yarn-properties-hdfs.
2026-05-18 17:09:16,601 INFO  org.apache.flink.yarn.cli.FlinkYarnSessionCli                [] - Found Yarn properties file under /tmp/.yarn-properties-hdfs.

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        Welcome! Enter 'HELP;' to list all available commands. 'QUIT;' to exit.

Command history file path: /home/hdfs/.flink-sql-history

Flink SQL> SET 'sql-client.execution.result-mode' = 'tableau';
[INFO] Execute statement succeeded.

Flink SQL> 
> create catalog hdfs_catalog with (
>     'type'='paimon',
>     'warehouse'='hdfs://hdfs-ha/paimon/hdfs'
> );2026-05-18 17:13:44,791 WARN  org.apache.hadoop.hdfs.shortcircuit.DomainSocketFactory      [] - The short-circuit local reads feature cannot be used because libhadoop cannot be loaded.

[INFO] Execute statement succeeded.

Flink SQL> USE CATALOG hdfs_catalog;
[INFO] Execute statement succeeded.

Flink SQL> show catalogs;
+-----------------+
|    catalog name |
+-----------------+
| default_catalog |
|    hdfs_catalog |
+-----------------+
2 rows in set

Flink SQL> show current catalog;
+----------------------+
| current catalog name |
+----------------------+
|         hdfs_catalog |
+----------------------+
1 row in set

Flink SQL> create table word_count (
>     word string primary key not enforced,
>     calc bigint
> );
[INFO] Execute statement succeeded.

Flink SQL> create temporary table word_table (
>     word string
> ) with (
>     'connector' = 'datagen',
>     'fields.word.length' = '1',
>     'rows-per-second' = '10'
> );
[INFO] Execute statement succeeded.

Flink SQL> SET 'execution.checkpointing.interval' = '10 s';
[INFO] Execute statement succeeded.

Flink SQL> insert into word_count select word, count(*) from word_table group by word;2026-05-18 17:25:37,904 WARN  org.apache.flink.yarn.configuration.YarnLogConfigUtil        [] - The configuration directory ('/usr/bigtop/3.3.0/usr/lib/flink-2.2.1/conf') already contains a LOG4J config file.If you want to use logback, then please delete or rename the log configuration file.

Flink Web UI

查询

powershell 复制代码 
SELECT * FROM word_count;
powershell 复制代码 
+----+--------------------------------+----------------------+
| op |                           word |                 calc |
+----+--------------------------------+----------------------+
| +I |                              0 |                  224 |
| +I |                              1 |                  226 |
| +I |                              2 |                  205 |
| +I |                              3 |                  247 |
| +I |                              4 |                  223 |
| +I |                              5 |                  204 |
| +I |                              6 |                  209 |
| +I |                              7 |                  216 |

关闭 checkpoint，切换为 批处理 BATCH 模式

powershell 复制代码 
RESET 'execution.checkpointing.interval';

SET 'execution.runtime-mode' = 'batch';

SELECT * FROM word_count;
powershell 复制代码 
+------+------+
| word | calc |
+------+------+
|    0 |  334 |
|    1 |  322 |
|    2 |  317 |
|    3 |  356 |
|    4 |  336 |
|    5 |  299 |
|    6 |  324 |
|    7 |  322 |
|    8 |  324 |
|    9 |  338 |
|    a |  325 |
|    b |  323 |
|    c |  342 |
|    d |  327 |
|    e |  322 |
|    f |  319 |
+------+------+
16 rows in set (1.12 seconds)

退出

powershell 复制代码 
EXIT;

Stop Flink cluster

powershell 复制代码 
./bin/stop-cluster.sh

4.2、Hive Catalog

Add Flink Jars

powershell 复制代码 
cd /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib

ansible cluster -m shell -a  "wget https://repo1.maven.org/maven2/org/apache/flink/flink-sql-connector-hive-3.1.3_2.12/3.0.0-1.20/flink-sql-connector-hive-3.1.3_2.12-3.0.0-1.20.jar -O /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/flink-sql-connector-hive-3.1.3_2.12-3.0.0-1.20.jar"

ansible cluster -m shell -a  "cp /usr/bigtop/3.3.0/usr/lib/hive/lib/hive-exec-3.1.3.jar /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/"

ansible cluster -m shell -a  "cp /usr/bigtop/3.3.0/usr/lib/hive/lib/libfb303-0.9.3.jar /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/"

ansible cluster -m shell -a  "cp /usr/bigtop/3.3.0/usr/lib/hive/lib/antlr-runtime-3.5.2.jar /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib/"

ansible cluster -m shell -a  "chmod -R 755 /usr/bigtop/3.3.0/usr/lib/flink-2.2.1/lib"

Add Hive Jars

powershell 复制代码 
ansible cluster -m shell -a  "mkdir -p /usr/bigtop/3.3.0/usr/lib/hive/auxlib"

ansible cluster -m shell -a  "wget https://repo1.maven.org/maven2/org/apache/paimon/paimon-hive-connector-3.1/1.4.1/paimon-hive-connector-3.1-1.4.1.jar -O /usr/bigtop/3.3.0/usr/lib/hive/auxlib/paimon-hive-connector-3.1-1.4.1.jar"

启动Flink Yarn Session集群

powershell 复制代码 
sudo -u hive \
env JAVA_HOME=/usr/java/jdk-17.0.8 \
env PATH=$JAVA_HOME/bin:$PATH \
env env HADOOP_CLASSPATH=$(hadoop classpath) \
/usr/bigtop/current/flink/bin/yarn-session.sh \
-nm paimon-catalog -tm 1024m -s 3 -d \
-Denv.java.home=/usr/java/jdk-17.0.8 \
-Dcontainerized.master.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dcontainerized.taskmanager.env.JAVA_HOME=/usr/java/jdk-17.0.8

启动Flink SQL Client

powershell 复制代码 
sudo -u hive \
env JAVA_HOME=/usr/java/jdk-17.0.8 \
env PATH=$JAVA_HOME/bin:$PATH \
env env HADOOP_CLASSPATH=$(hadoop classpath) \
/usr/bigtop/current/flink/bin/sql-client.sh -s yarn-session \
-Denv.java.home=/usr/java/jdk-17.0.8 \
-Dcontainerized.master.env.JAVA_HOME=/usr/java/jdk-17.0.8 \
-Dcontainerized.taskmanager.env.JAVA_HOME=/usr/java/jdk-17.0.8

创建Hive Catalog

powershell 复制代码 
SET 'sql-client.execution.result-mode' = 'tableau';
SET 'execution.runtime-mode' = 'streaming';
SET 'pipeline.name' = 'Paimon-Datagen';
SET 'classloader.resolve.order' = 'child-first';
SET 'classloader.check-leaked-classloader' = 'false';

SET taskmanager.memory.process.size = 6G;
SET taskmanager.memory.heap.size = 4G;
SET taskmanager.memory.managed.size = 1G;

-- Checkpoint 生产级
SET execution.checkpointing.interval = 60s;
SET execution.checkpointing.mode = EXACTLY_ONCE;
SET execution.checkpointing.timeout = 15min;
SET execution.checkpointing.max-concurrent-checkpoints = 1;
SET execution.checkpointing.tolerable-failed-checkpoints = 3;
SET state.backend = rocksdb;
SET state.checkpoints.num-retained = 10;
SET state.backend.incremental = true;

-- Catalog
CREATE CATALOG hive_catalog WITH (
    'type' = 'paimon',
    'metastore' = 'hive',
    'hive-conf-dir' = '/etc/hive/conf',
    'hadoop-conf-dir' = '/etc/hadoop/conf'
);

use catalog hive_catalog;
use tmp;

-- 防 OOM 终极表参数
drop table if exists t_datagen;
create table if not exists t_datagen (
    id          int,
    name        string,
    age         int,
    gender      string,
    city        string,
    score       double,
    phone       string,
    email       string,
    create_time timestamp
) WITH (
    'connector' = 'paimon',
    'bucket' = '1',
    'bucket-key' = 'id',
    'file.format' = 'parquet',
    'parquet.compression' = 'snappy',
    'parquet.block.size' = '16777216',
    'writer.buffer.size' = '2097152',
    'write-buffer-spillable' = 'true',
    'compaction.max-threads' = '0',
    'sink.flush-interval' = '30000',
    'sink.max-write-buffer-size' = '8388608'
);

-- DataGen源
create temporary table datagen_source (
    id          int,
    name        string,
    age         int,
    gender      string,
    city        string,
    score       double,
    phone       string,
    email       string,
    create_time timestamp
) WITH (
    'connector' = 'datagen',
    'rows-per-second' = '500',
    'fields.id.min' = '1',
    'fields.id.max' = '1000000',
    'fields.age.min' = '18',
    'fields.age.max' = '60',
    'fields.score.min' = '60',
    'fields.score.max' = '100'
);

-- 插入
insert into t_datagen select * from datagen_source;


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