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Ubuntu Datasophon 1.2.1 集成 ClickHouse 组件解决方案 | 极客日志
Java java
Ubuntu Datasophon 1.2.1 集成 ClickHouse 组件解决方案 综述由AI生成 在 Ubuntu 环境下为 Datasophon 1.2.1 平台集成 ClickHouse 组件的步骤。内容包括下载对应版本 ClickHouse 包、构造 tar.gz 安装包、修改 service_ddl.json 配置文件定义组件角色与启动策略、编写 Java 策略代码实现 ZooKeeper 目录创建的分布式锁控制。最后通过 SQL 查询验证集群分片与副本配置，完成了 OLAP 数据库的二次开发部署。
路由之心 发布于 2026/3/25 更新于 2026/5/10 背景
安装完 HIVE 之后，就剩下 spark,flink,clickhouse。安装 spark,flink 比较简单顺利。准备安装 OLAP 数据库 clickhouse，发现 datasophon 1.2.1 组件没有，没办法只能添加一个。
问题
如何添加 clickhouse 组件呢？首先下载跟操作系统匹配的 clickhouse 版本。其次了解为 datasophon 添加组件需要做哪些事情。后面详细说明
解决
下载 ClickHouse
我的 ubuntu 版本为：
Welcome to Ubuntu 24.04 .2 LTS(GNU/Linux 6.8 .0 -90 -generic x86_64)
所以选择 23.3.10.5 版本，我下载了好多：clickhouse-server,clickhouse-keeper-dbg,clickhouse-keeper,clickhouse-common-static-dbg,clickhouse-common-static。实际到后面只用到：clickhouse-common-static-23.3.10.5。
下载地址：https://packages.clickhouse.com/tgz/stable/clickhouse-common-static-23.3.10.5-amd64.tgz
在 DataSophon 配置 ClickHouse 及定制策略代码
下载完 clickhouse 之后，下面开始搞配置了。要做三件事：
1.构造 tar.gz 包
在临时目录创建 cickhouse-23.3.10.5，目前结构如下：
bin 目录：就放 clickhouse 的二进制文件:clickhouse。这个文件来自 common-static-23.3.10.5-amd64.tgz，把这个文件解压，然后复制到 bin 目录即可。
clickhouse 脚本文件： clickhouse.sh 负责启动，停止，查询 clickhouse 进程状态的脚本，包装后供 datasophon 调用，内容如下：
#!/bin/bash
set -e
CLICKHOUSE_HOME="/opt/datasophon/clickhouse"
CLICKHOUSE_BIN="$CLICKHOUSE_HOME /bin/clickhouse"
CONFIG_DIR="$CLICKHOUSE_HOME /conf"
LOG_DIR="$CLICKHOUSE_HOME /logs"
"$CLICKHOUSE_HOME /data"
"$CLICKHOUSE_HOME /tmp"
"$CLICKHOUSE_HOME /run"
"$PID_DIR /clickhouse-server.pid"
'\033[0;31m'
'\033[0;32m'
'\033[1;33m'
'\033[0;34m'
'\033[0m'
log_info
echo
"${GREEN} [INFO]${NC} $(date '+%Y-%m-%d %H:%M:%S') $1 "
log_error
echo
"${RED} [ERROR]${NC} $(date '+%Y-%m-%d %H:%M:%S') $1 "
get_pid
"clickhouse.*server.*config.xml"
head
is_running
local
if
"$pid "
then
echo
"$pid "
return
fi
return
create_dirs
mkdir
"$PID_DIR "
"$LOG_DIR "
"$DATA_DIR "
chmod
"$PID_DIR "
"$LOG_DIR "
"$DATA_DIR "
start
"启动 ClickHouse 服务器..."
local
if
"$pid "
then
"ClickHouse 已在运行 (PID: $pid )"
return
fi
if
"$CLICKHOUSE_BIN "
then
"二进制文件不存在：$CLICKHOUSE_BIN "
return
fi
if
"$CONFIG_DIR /config.xml"
then
"配置文件不存在：$CONFIG_DIR /config.xml"
return
fi
local
'<http_port>\K[^<]+'
"$CONFIG_DIR /config.xml"
echo
"8123"
"执行：$CLICKHOUSE_BIN server --config-file=$CONFIG_DIR /config.xml"
nohup
"$CLICKHOUSE_BIN "
"$CONFIG_DIR /config.xml"
"$LOG_DIR /clickhouse-server.log"
local
sleep
local
if
"$new_pid "
then
echo
"$new_pid "
"$PID_FILE "
"✅ ClickHouse 启动成功 (PID: $new_pid )"
local
while
$waited
do
if
"http://localhost:$http_port /ping"
"Ok"
then
"✅ HTTP 接口正常 (端口：$http_port )"
break
fi
sleep
1
done
else
"❌ ClickHouse 启动失败"
tail
"$LOG_DIR /clickhouse-server.log"
return
fi
stop
"停止 ClickHouse 服务器..."
local
if
"$pid "
then
"ClickHouse 未运行"
rm
"$PID_FILE "
return
fi
"停止进程 (PID: $pid )..."
kill
"$pid "
true
local
while
$waited
do
if
kill
"$pid "
then
break
fi
sleep
1
done
if
kill
"$pid "
then
"强制终止进程..."
kill
"$pid "
true
fi
rm
"$PID_FILE "
"✅ ClickHouse 已停止"
status
local
if
"$PID_FILE "
then
local
cat
"$PID_FILE "
if
"$pid "
"$file_pid "
"$pid "
then
echo
"ClickHouse is running (PID: $pid )"
return
elif
"$pid "
then
echo
"ClickHouse is running (PID: $pid ) but PID file mismatch"
echo
"Consider: echo $pid > $PID_FILE "
return
else
echo
"ClickHouse is not running (stale PID file)"
rm
"$PID_FILE "
return
fi
elif
"$pid "
then
echo
"ClickHouse is running (PID: $pid ) but PID file is missing"
echo
"Consider: echo $pid > $PID_FILE "
return
else
echo
"ClickHouse is not running"
return
fi
restart
sleep
case
"${1:-help} "
in
echo
"Usage: $0 {start|stop|restart|status}"
echo
" start - Start ClickHouse server"
echo
" stop - Stop ClickHouse server"
echo
" restart - Restart ClickHouse server"
echo
" status - Check ClickHouse status"
exit
esac
exit
配置 templates： 这个存放生成 xml 的 freemark 模板，用来生成 xml。涉及文件如下图（略）。
<?xml version="1.0" ?>
<yandex >
<users_config > conf/users.xml</users_config >
<listen_host > 0.0.0.0</listen_host >
<http_port > ${http_port}</http_port >
<tcp_port > ${tcp_port}</tcp_port >
<interserver_http_port > ${interserver_http_port}</interserver_http_port >
<max_connections > ${max_connections}</max_connections >
<keep_alive_timeout > 3</keep_alive_timeout >
<max_concurrent_queries > 100</max_concurrent_queries >
<zookeeper >
<#if zk_address??&& zk_address?has_content>
<#list zk_address?split(",") as zkNode>
<#if zkNode?contains(":")>
<#assign parts = zkNode?split(":")>
<node >
<host > ${parts[0]}</host >
<port > ${parts[1]}</port >
</node >
<#else>
<node >
<host > ${zkNode}</host >
<port > 2181</port >
</node >
</#if>
</#list>
<#else>
<node >
<host > localhost</host >
<port > 2181</port >
</node >
</#if>
<session_timeout_ms > 30000</session_timeout_ms >
<operation_timeout_ms > 10000</operation_timeout_ms >
<root > ${zk_root!'/clickhouse'}</root >
</zookeeper >
<remote_servers >
<${cluster_name}>
<#if cluster_hosts??&& cluster_hosts?has_content>
<#-- 创建分片映射表 -->
<#assign shardMap={}>
<#-- 解析每个节点定义 -->
<#list cluster_hosts?split(",") as hostDef>
<#assign hostDef = hostDef?trim>
<#if hostDef?contains(":")>
<#assign parts = hostDef?split(":")>
<#if parts?size == 3>
<#assign shardNum = parts[0]?trim>
<#assign replicaNum = parts[1]?trim>
<#assign hostName = parts[2]?trim>
<#-- 初始化分片数组 -->
<#if !shardMap[shardNum]??>
<#assign shardMap = shardMap +{shardNum:[]}></#if>
<#-- 添加副本到分片 -->
<#assign replicaInfo={"host": hostName,"replica": replicaNum}>
<#assign currentList = shardMap[shardNum]>
<#assign shardMap = shardMap +{shardNum: currentList +[replicaInfo]}>
</#if>
</#if>
</#list>
<#-- 按分片编号排序后生成配置 -->
<#list shardMap?keys?sort as shardKey>
<shard >
<internal_replication > true</internal_replication >
<#list shardMap[shardKey] as replicaInfo>
<replica >
<host > ${replicaInfo.host}</host >
<port > ${tcp_port}</port >
</replica >
</#list>
</shard >
</#list>
<#else>
<shard >
<internal_replication > true</internal_replication >
<replica >
<host > ${hostname}</host >
<port > ${tcp_port}</port >
</replica >
</shard >
</#if>
</${cluster_name}>
</remote_servers >
<macros >
<cluster > ${cluster_name}</cluster >
<shard > ${current_shard}</shard >
<replica > ${current_replica}</replica >
<hostname > ${hostname}</hostname >
</macros >
<path > ${data_path}</path >
<tmp_path > ${tmp_path}</tmp_path >
<user_files_path > ${user_files_path}</user_files_path >
<format_schema_path > /opt/datasophon/clickhouse/format_schemas/</format_schema_path >
<logger >
<level > ${log_level}</level >
<log > ${log_dir}/clickhouse-server.log</log >
<errorlog > ${log_dir}/clickhouse-server.err.log</errorlog >
<size > 1000M</size >
<count > 10</count >
</logger >
<query_log >
<database > system</database >
<table > query_log</table >
<partition_by > toYYYYMM(event_date)</partition_by >
<flush_interval_milliseconds > 7500</flush_interval_milliseconds >
</query_log >
<trace_log >
<database > system</database >
<table > trace_log</table >
<partition_by > toYYYYMM(event_date)</partition_by >
<flush_interval_milliseconds > 7500</flush_interval_milliseconds >
</trace_log >
<compression >
<case >
<min_part_size > 10000000000</min_part_size >
<min_part_size_ratio > 0.01</min_part_size_ratio >
<method > lz4</method >
</case >
</compression >
<merge_tree >
<max_suspicious_broken_parts > 5</max_suspicious_broken_parts >
<max_part_loading_threads > 16</max_part_loading_threads >
</merge_tree >
<distributed_ddl >
<path > /clickhouse/task_queue/ddl</path >
</distributed_ddl >
</yandex >
<?xml version="1.0" ?>
<yandex >
<profiles >
<default >
<max_memory_usage > ${max_memory_usage}</max_memory_usage >
<max_memory_usage_for_user > ${max_memory_usage}</max_memory_usage_for_user >
<max_partitions_per_insert_block > ${max_partitions_per_insert_block}</max_partitions_per_insert_block >
<use_uncompressed_cache > 0</use_uncompressed_cache >
<load_balancing > random</load_balancing >
<log_queries > 1</log_queries >
</default >
<readonly >
<readonly > 1</readonly >
<max_memory_usage > 5000000000</max_memory_usage >
<max_partitions_per_insert_block > 100</max_partitions_per_insert_block >
</readonly >
</profiles >
<users >
<default >
<#if default_password??&& default_password?has_content>
<password > ${default_password}</password >
<#else>
<password > </password >
</#if>
<networks >
<ip > ::/0</ip >
</networks >
<profile > default</profile >
<quota > default</quota >
</default >
<datasophon >
<password > ${datasophon_password!'datasophon123'}</password >
<networks >
<ip > ::/0</ip >
</networks >
<profile > readonly</profile >
<quota > default</quota >
</datasophon >
</users >
<quotas >
<default >
<interval >
<duration > 3600</duration >
<queries > 0</queries >
<errors > 0</errors >
<result_rows > 0</result_rows >
<read_rows > 0</read_rows >
<execution_time > 0</execution_time >
</interval >
</default >
</quotas >
</yandex >
<?xml version="1.0" ?>
<yandex >
<macros >
<cluster > ${cluster_name!'datasophon_cluster'}</cluster >
<shard > ${current_shard!'1'}</shard >
<replica > ${current_replica!'1'}</replica >
<host > ${hostname!'localhost'}</host >
</macros >
</yandex >
cd /tmp/DDP
tar -zcvf clickhouse-23.3.10.5.tar.gz clickhouse-23.3.10.5/
记住，先走到 clickhouse-23.3.10.5 上层目录，然后再执行打包，否则打包后，里面目录结构不对。
复制到/opt/datasophon/DDP/package 目录，并重新生成 md5 签名文件
cp /tmp/DDP/clickhouse-23.3.10.5.tar.gz /opt/datasophon/DDP/package
cd /opt/datasophon/DDP/package
md5sum clickhouse-23.3.10.5.tar.gz | awk '{print $1}' > clickhouse-23.3.10.5.tar.gz.md5
2.配置组件配置文件 这个文件比较重要，datasophon-manager 启动时，会把它加载到组件列表里头。为了有版本管理，我是先在 datasophon-api 模块里添加，然后复制到 /opt/datasophon-manager-1.2.1/conf/meta/DDP-1.2.1/CLICKHOUSE 目录。
{
"name" : "CLICKHOUSE" ,
"label" : "ClickHouse" ,
"description" : "ClickHouse OLAP Database System - 高性能列式数据库，支持实时分析" ,
"version" : "23.3.10.5" ,
"sortNum" : 20 ,
"dependencies" : [ "ZOOKEEPER" ] ,
"packageName" : "clickhouse-23.3.10.5.tar.gz" ,
"decompressPackageName" : "clickhouse-23.3.10.5" ,
"roles" : [
{
"name" : "ckworker" ,
"label" : "ClickHouse Worker" ,
"description" : "数据存储和计算节点" ,
"roleType" : "worker" ,
"cardinality" : "2+" ,
"logFile" : "logs/clickhouse-server.log" ,
"jmxPort" : 0 ,
"startRunner" : { "timeout" : "120" , "program" : "clickhouse.sh" , "args" : [ "start" ] } ,
"stopRunner" : { "timeout" : "60" , "program" : "clickhouse.sh" , "args" : [ "stop" ] } ,
"statusRunner" : { "timeout" : "30" , "program" : "clickhouse.sh" , "args" : [ "status" ] } ,
"restartRunner" : { "timeout" : "120" , "program" : "clickhouse.sh" , "args" : [ "restart" ] }
} ,
{
"name" : "ckclient" ,
"label" : "ClickHouse Client" ,
"description" : "查询接入节点" ,
"roleType" : "client" ,
"cardinality" : "0+" ,
"logFile" : "logs/clickhouse-server.log" ,
"jmxPort" : 0 ,
"startRunner" : { "timeout" : "120" , "program" : "clickhouse.sh" , "args" : [ "start" ] } ,
"stopRunner" : { "timeout" : "60" , "program" : "clickhouse.sh" , "args" : [ "stop" ] } ,
"statusRunner" : { "timeout" : "30" , "program" : "clickhouse.sh" , "args" : [ "status" ] } ,
"restartRunner" : { "timeout" : "120" , "program" : "clickhouse.sh" , "args" : [ "restart" ] } ,
"externalLink" : { "name" : "ClickHouse UI" , "label" : "ClickHouse UI" , "url" : "http://${host}:${http_port}" }
}
] ,
"configWriter" : {
"generators" : [
{
"filename" : "config.xml" ,
"configFormat" : "custom" ,
"outputDirectory" : "conf" ,
"templateName" : "config.xml.ftl" ,
"includeParams" : [ "http_port" , "tcp_port" , "interserver_http_port" , "zk_address" , "zk_root" , "cluster_name" , "cluster_hosts" , "data_path" , "tmp_path" , "user_files_path" , "log_dir" , "log_level" , "max_connections" , "max_memory_usage" , "current_shard" , "current_replica" , "hostname" ]
} ,
{
"filename" : "users.xml" ,
"configFormat" : "custom" ,
"outputDirectory" : "conf" ,
"templateName" : "users.xml.ftl" ,
"includeParams" : [ "default_password" , "datasophon_password" , "max_memory_usage_for_user" , "max_memory_usage" , "max_partitions_per_insert_block" ]
} ,
{
"filename" : "macros.xml" ,
"configFormat" : "custom" ,
"outputDirectory" : "conf" ,
"templateName" : "macros.xml.ftl" ,
"includeParams" : [ "cluster_name" , "current_shard" , "current_replica" , "hostname" ]
}
]
} ,
"parameters" : [
{
"name" : "http_port" ,
"label" : "HTTP 端口" ,
"description" : "ClickHouse HTTP 接口端口" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "8123"
} ,
{
"name" : "tcp_port" ,
"label" : "TCP 端口" ,
"description" : "ClickHouse 原生 TCP 端口" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "9000"
} ,
{
"name" : "interserver_http_port" ,
"label" : "内部通信端口" ,
"description" : "ClickHouse 节点间通信端口" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "9009"
} ,
{
"name" : "zk_address" ,
"label" : "ZK 地址" ,
"description" : "ZooKeeper 集群地址，格式：host1:port1,host2:port2" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "${zkUrls}"
} ,
{
"name" : "zk_root" ,
"label" : "ZK 根路径" ,
"description" : "在 ZooKeeper 中的根路径" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "/clickhouse"
} ,
{
"name" : "cluster_name" ,
"label" : "集群名称" ,
"description" : "ClickHouse 分布式集群名称" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "datasophon_cluster"
} ,
{
"name" : "cluster_hosts" ,
"label" : "集群节点列表" ,
"description" : "集群节点配置，格式：分片编号：副本编号：主机名，多个节点用逗号分隔\n示例：1:1:ddp1,1:2:ddp2,2:1:ddp3,2:2:ddp4" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "1:1:ddp1,1:2:ddp2,2:1:ddp3,2:2:ddp4"
} ,
{
"name" : "current_shard" ,
"label" : "当前节点分片" ,
"description" : "该节点所属的分片编号" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "1"
} ,
{
"name" : "current_replica" ,
"label" : "当前节点副本" ,
"description" : "该节点在分片中的副本编号" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "1"
} ,
{
"name" : "hostname" ,
"label" : "主机名" ,
"description" : "当前节点主机名" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : false ,
"hidden" : true ,
"defaultValue" : "${host}"
} ,
{
"name" : "data_path" ,
"label" : "数据目录" ,
"description" : "ClickHouse 数据存储路径" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "/opt/datasophon/clickhouse/data"
} ,
{
"name" : "tmp_path" ,
"label" : "临时目录" ,
"description" : "ClickHouse 临时文件路径" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "/opt/datasophon/clickhouse/tmp"
} ,
{
"name" : "user_files_path" ,
"label" : "用户文件目录" ,
"description" : "ClickHouse 用户文件路径" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "/opt/datasophon/clickhouse/user_files"
} ,
{
"name" : "log_dir" ,
"label" : "日志目录" ,
"description" : "ClickHouse 日志文件路径" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "/var/log/clickhouse-server"
} ,
{
"name" : "log_level" ,
"label" : "日志级别" ,
"description" : "ClickHouse 日志级别" ,
"configType" : "map" ,
"required" : true ,
"type" : "select" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "information" ,
"values" : [
{ "value" : "trace" , "desc" : "TRACE" } ,
{ "value" : "debug" , "desc" : "DEBUG" } ,
{ "value" : "information" , "desc" : "INFORMATION" } ,
{ "value" : "warning" , "desc" : "WARNING" } ,
{ "value" : "error" , "desc" : "ERROR" }
]
} ,
{
"name" : "default_password" ,
"label" : "默认用户密码" ,
"description" : "ClickHouse 默认用户密码" ,
"configType" : "map" ,
"required" : false ,
"type" : "password" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : true ,
"defaultValue" : ""
} ,
{
"name" : "datasophon_password" ,
"label" : "DataSophon 用户密码" ,
"description" : "DataSophon 管理用户密码" ,
"configType" : "map" ,
"required" : true ,
"type" : "password" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : true ,
"defaultValue" : "datasophon123"
} ,
{
"name" : "max_connections" ,
"label" : "最大连接数" ,
"description" : "最大客户端连接数" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "4096"
} ,
{
"name" : "max_memory_usage" ,
"label" : "最大内存使用" ,
"description" : "单次查询最大内存使用 (字节)" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "10000000000"
} ,
{
"name" : "max_memory_usage_for_user" ,
"label" : "用户最大内存使用" ,
"description" : "单用户单次查询最大内存使用 (字节)" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "10000000000"
} ,
{
"name" : "max_partitions_per_insert_block" ,
"label" : "单次插入最大分区数" ,
"description" : "单次 INSERT 操作允许的最大分区数量" ,
"configType" : "map" ,
"required" : true ,
"type" : "input" ,
"value" : "" ,
"configurableInWizard" : true ,
"hidden" : false ,
"defaultValue" : "100"
}
]
}
这个文件告诉 datasophon，你的组件叫啥名称，版本号多少，依赖组件是啥，对应 tar 包，有什么角色，每种角色如何启动，停止，重启，查询状态。涉及哪些配置文件，每个配置文件如何生成，使用什么模板，需要什么参数。每个参数是输入还是什么的，显示还是隐藏等等。
3.定制策略处理代码 刚开始我没想弄个策略文件，后来启动时，提示需要 zk 目录，这个目录必须事先创建，但是 zk 目录只能创建一次，后面再创建会报错，如果安装集群的话，势必会引起重复创建文件。所以引入策略文件，使用 redis 锁来保证只能创建一次。
ServiceRoleStrategyContext：
package com.datasophon.worker.strategy;
import org.apache.commons.lang.StringUtils;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
public class ServiceRoleStrategyContext {
private static final Map<String, ServiceRoleStrategy> map = new ConcurrentHashMap <>();
static {
map.put("NameNode" , new NameNodeHandlerStrategy ("HDFS" , "NameNode" ));
map.put("ZKFC" , new ZKFCHandlerStrategy ("HDFS" , "ZKFC" ));
map.put("JournalNode" , new JournalNodeHandlerStrategy ("HDFS" , "JournalNode" ));
map.put("DataNode" , new DataNodeHandlerStrategy ("HDFS" , "DataNode" ));
map.put("ResourceManager" , new ResourceManagerHandlerStrategy ("YARN" , "ResourceManager" ));
map.put("NodeManager" , new NodeManagerHandlerStrategy ("YARN" , "NodeManager" ));
map.put("RangerAdmin" , new RangerAdminHandlerStrategy ("RANGER" , "RangerAdmin" ));
map.put("HiveServer2" , new HiveServer2HandlerStrategy ("HIVE" , "HiveServer2" ));
map.put("HbaseMaster" , new HbaseHandlerStrategy ("HBASE" , "HbaseMaster" ));
map.put("RegionServer" , new HbaseHandlerStrategy ("HBASE" , "RegionServer" ));
map.put("Krb5Kdc" , new Krb5KdcHandlerStrategy ("KERBEROS" , "Krb5Kdc" ));
map.put("KAdmin" , new KAdminHandlerStrategy ("KERBEROS" , "KAdmin" ));
map.put("SRFE" , new FEHandlerStrategy ("STARROCKS" , "SRFE" ));
map.put("DorisFE" , new FEHandlerStrategy ("DORIS" , "DorisFE" ));
map.put("DorisFEObserver" , new FEObserverHandlerStrategy ("DORIS" , "DorisFEObserver" ));
map.put("ZkServer" , new ZkServerHandlerStrategy ("ZOOKEEPER" , "ZkServer" ));
map.put("KafkaBroker" , new KafkaHandlerStrategy ("KAFKA" , "KafkaBroker" ));
map.put("SRBE" , new BEHandlerStrategy ("STARROCKS" , "SRBE" ));
map.put("DorisBE" , new BEHandlerStrategy ("DORIS" , "DorisBE" ));
map.put("HistoryServer" , new HistoryServerHandlerStrategy ("YARN" , "HistoryServer" ));
map.put("TezServer" , new TezServerHandlerStrategy ("TEZ" , "TezServer" ));
map.put("KyuubiServer" , new KyuubiServerHandlerStrategy ("KYUUBI" , "KyuubiServer" ));
map.put("ckworker" , new ClickHouseWorkerHandlerStrategy ("CLICKHOUSE" , "ckworker" ));
}
public static ServiceRoleStrategy getServiceRoleHandler (String type) {
if (StringUtils.isBlank(type)) {
return null ;
}
return map.get(type);
}
}
这个文件其实就加了一行，告诉 datasophon，clickhouse ckworker 使用策略类名
map.put("ckworker" , new ClickHouseWorkerHandlerStrategy ("CLICKHOUSE" , "ckworker" ));
package com.datasophon.worker.service;
import com.datasophon.common.Constants;
import com.datasophon.common.redis.utils.RedisLockUtil;
import com.datasophon.common.utils.ExecResult;
import com.datasophon.common.utils.ShellUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.ArrayList;
public class ZookeeperPathService {
private static final Logger logger = LoggerFactory.getLogger(ZookeeperPathService.class);
private static final String ZK_PATH_LOCK_KEY = "datasophon:clickhouse:zkpath:init:lock" ;
private static final long LOCK_TIMEOUT = 300 ;
private static final long LOCK_WAIT_TIME = 30000 ;
private static final String ZK_CLI_PATH = "/opt/datasophon/zookeeper/bin/zkCli.sh" ;
public static boolean createPathWithLock (String zkServer, String zkPath, boolean createSubPaths) {
logger.info("🚀 =========================================" );
logger.info("🚀 ZooKeeper 目录创建开始" );
logger.info("🚀 ZK 服务器：{}" , zkServer);
logger.info("🚀 ZK 路径：{}" , zkPath);
logger.info("🚀 创建子目录：{}" , createSubPaths);
logger.info("🚀 Redis 锁键：{}" , ZK_PATH_LOCK_KEY);
logger.info("🚀 =========================================" );
try {
logger.info("1️⃣ 测试 Redis 连接..." );
boolean redisConnected = RedisLockUtil.testRedisConnection();
if (!redisConnected) {
logger.warn("⚠️ Redis 连接测试失败，尝试直接创建 ZK 目录" );
return createPathDirect(zkServer, zkPath, createSubPaths);
}
logger.info("2️⃣ 检查 ZK 目录是否已存在..." );
if (isPathExists(zkServer, zkPath)) {
logger.info("✅ ZK 目录已存在：{}, 跳过创建" , zkPath);
return true ;
}
logger.info("3️⃣ 使用 Redis 分布式锁执行 ZK 目录创建..." );
boolean result = RedisLockUtil.executeWithLock(ZK_PATH_LOCK_KEY, LOCK_TIMEOUT, LOCK_WAIT_TIME, () -> {
logger.info("🔒 在 Redis 锁保护区内，开始创建 ZK 目录" );
if (isPathExists(zkServer, zkPath)) {
logger.info("✅ 在等待锁期间，ZK 目录已被其他节点创建" );
return true ;
}
return createPathDirect(zkServer, zkPath, createSubPaths);
});
logger.info("🎉 ZK 目录创建结果：{}" , result);
return result;
} catch (Exception e) {
logger.error("❌ ZK 目录创建过程中发生异常" , e);
logger.error(" 异常堆栈：" , e);
logger.warn("🔄 尝试直接创建 ZK 目录（绕过 Redis 锁）..." );
try {
boolean directResult = createPathDirect(zkServer, zkPath, createSubPaths);
logger.info("直接创建结果：{}" , directResult);
return directResult;
} catch (Exception ex) {
logger.error("❌ 直接创建也失败了" , ex);
return false ;
}
} finally {
logger.info("🚀 =========================================" );
logger.info("🚀 ZooKeeper 目录创建结束" );
logger.info("🚀 =========================================" );
}
}
public static boolean createPathDirect (String zkServer, String zkPath, boolean createSubPaths) {
logger.info("🔧 开始直接创建 ZK 目录（无锁）" );
logger.info(" ZK 服务器：{}" , zkServer);
logger.info(" ZK 路径：{}" , zkPath);
logger.info(" 创建子目录：{}" , createSubPaths);
try {
if (!isZkCliAvailable()) {
logger.error("❌ zkCli.sh 不存在或不可执行：{}" , ZK_CLI_PATH);
return false ;
}
logger.info(" 创建主目录：{}" , zkPath);
boolean mainPathCreated = createSinglePath(zkServer, zkPath);
if (!mainPathCreated) {
logger.error("❌ 创建主目录失败：{}" , zkPath);
return false ;
}
logger.info("✅ 主目录创建成功" );
if (createSubPaths) {
logger.info(" 创建 ClickHouse 子目录..." );
String[] subPaths = { zkPath + "/task_queue" , zkPath + "/log" , zkPath + "/log/log-1" , zkPath + "/blocks" , zkPath + "/replicas" , zkPath + "/metadata" };
for (String subPath : subPaths) {
if (!isPathExists(zkServer, subPath)) {
boolean created = createSinglePath(zkServer, subPath);
logger.info(" 子目录 {}: {}" , subPath, created ? "✅" : "❌" );
} else {
logger.info(" 子目录 {}: ✅ (已存在)" , subPath);
}
}
}
logger.info("✅ ZK 目录创建完成" );
return true ;
} catch (Exception e) {
logger.error("🔥 创建 ZK 目录异常" , e);
return false ;
}
}
private static boolean createSinglePath (String zkServer, String zkPath) {
try {
ArrayList<String> commands = new ArrayList <>();
commands.add(ZK_CLI_PATH);
commands.add("-server" );
commands.add(zkServer);
commands.add("create" );
commands.add(zkPath);
commands.add("\"\"" );
logger.debug(" 执行命令：{} -server {} create {} \"\"" , ZK_CLI_PATH, zkServer, zkPath);
ExecResult execResult = ShellUtils.execWithStatus("/tmp" , commands, 30L );
if (execResult.getExecResult()) {
String output = execResult.getExecOut();
if (output != null && output.contains("Created" )) {
logger.debug(" ✅ 创建成功：{}" , zkPath);
return true ;
}
}
if (execResult.getExecErrOut() != null && execResult.getExecErrOut().contains("Node already exists" )) {
logger.debug(" ℹ️ 节点已存在：{}" , zkPath);
return true ;
}
logger.error(" ❌ 创建失败：{}, 错误：{}" , zkPath, execResult.getExecErrOut());
return false ;
} catch (Exception e) {
logger.error(" 创建异常：{}" , zkPath, e);
return false ;
}
}
public static boolean isPathExists (String zkServer, String zkPath) {
logger.debug("检查 ZK 路径是否存在：{}" , zkPath);
try {
ArrayList<String> commands = new ArrayList <>();
commands.add(ZK_CLI_PATH);
commands.add("-server" );
commands.add(zkServer);
commands.add("ls" );
commands.add(zkPath);
ExecResult execResult = ShellUtils.execWithStatus("/tmp" , commands, 30L );
if (execResult.getExecResult()) {
String output = execResult.getExecOut();
boolean exists = output != null && !output.trim().isEmpty() && !output.contains("[]" );
logger.debug(" ZK 路径 {}: {}" , zkPath, exists ? "✅ 存在" : "❌ 不存在" );
return exists;
}
if (execResult.getExecErrOut() != null && execResult.getExecErrOut().contains("No node" )) {
logger.debug(" ZK 路径 {}: ❌ 不存在 (No node)" , zkPath);
return false ;
}
logger.warn(" 检查 ZK 路径失败：{}" , execResult.getExecErrOut());
return false ;
} catch (Exception e) {
logger.warn(" 检查 ZK 路径异常：{}" , zkPath, e);
return false ;
}
}
private static boolean isZkCliAvailable () {
try {
ArrayList<String> commands = new ArrayList <>();
commands.add("test" );
commands.add("-f" );
commands.add(ZK_CLI_PATH);
ExecResult execResult = ShellUtils.execWithStatus("/tmp" , commands, 10L );
return execResult.getExecResult();
} catch (Exception e) {
logger.error("检查 zkCli.sh 失败" , e);
return false ;
}
}
public static String getZkServerFromConfig (String installPath, String packageName) {
String configFile = installPath + Constants.SLASH + packageName + "/conf/config.xml" ;
try {
String content = cn.hutool.core.io.FileUtil.readUtf8String(configFile);
String host = cn.hutool.core.util.ReUtil.get("<host>([^<]+)</host>" , content, 1 );
String port = cn.hutool.core.util.ReUtil.get("<port>([^<]+)</port>" , content, 1 );
if (host != null && port != null ) {
return host + ":" + port;
}
} catch (Exception e) {
logger.warn("解析 ZK 地址失败" , e);
}
return "192.168.1.181:2181" ;
}
public static String getZkRootFromConfig (String installPath, String packageName) {
String configFile = installPath + Constants.SLASH + packageName + "/conf/config.xml" ;
try {
String content = cn.hutool.core.io.FileUtil.readUtf8String(configFile);
String root = cn.hutool.core.util.ReUtil.get("<root>([^<]+)</root>" , content, 1 );
if (root != null ) {
return root;
}
} catch (Exception e) {
logger.warn("解析 ZK 根路径失败" , e);
}
return "/clickhouse" ;
}
}
这个文件完成帮 clickhouse 使用 redis 加锁方式创建 zk 目录，创建前判断是否存在。
ClickHouseWorkerHandlerStrategy：
package com.datasophon.worker.strategy;
import com.datasophon.common.Constants;
import com.datasophon.common.command.ServiceRoleOperateCommand;
import com.datasophon.common.enums.CommandType;
import com.datasophon.common.utils.ExecResult;
import com.datasophon.worker.handler.ServiceHandler;
import com.datasophon.worker.service.ZookeeperPathService;
import java.sql.SQLException;
public class ClickHouseWorkerHandlerStrategy extends AbstractHandlerStrategy implements ServiceRoleStrategy {
public ClickHouseWorkerHandlerStrategy (String serviceName, String serviceRoleName) {
super (serviceName, serviceRoleName);
}
@Override
public ExecResult handler (ServiceRoleOperateCommand command) throws SQLException, ClassNotFoundException {
ExecResult startResult = new ExecResult ();
ServiceHandler serviceHandler = new ServiceHandler (command.getServiceName(), command.getServiceRoleName());
logger.info("ClickHouse 服务角色处理开始，命令类型：{}" , command.getCommandType());
logger.info("是否为从节点：{}" , command.isSlave());
if (command.getCommandType().equals(CommandType.INSTALL_SERVICE) && !command.isSlave()) {
logger.info("🚀 =========================================" );
logger.info("🚀 ClickHouse ZooKeeper 目录初始化" );
logger.info("🚀 =========================================" );
String installPath = Constants.INSTALL_PATH;
String packageName = command.getDecompressPackageName();
String zkServer = ZookeeperPathService.getZkServerFromConfig(installPath, packageName);
String zkRoot = ZookeeperPathService.getZkRootFromConfig(installPath, packageName);
logger.info("ZooKeeper 服务器：{}" , zkServer);
logger.info("ZooKeeper 根路径：{}" , zkRoot);
boolean createSuccess = ZookeeperPathService.createPathWithLock(
zkServer, zkRoot, true
);
if (createSuccess) {
logger.info("✅ ClickHouse ZooKeeper 目录初始化成功" );
} else {
logger.warn("⚠️ ClickHouse ZooKeeper 目录初始化失败或已被其他节点初始化" );
}
logger.info("🚀 =========================================\n" );
}
logger.info("启动 ClickHouse 服务..." );
startResult = serviceHandler.start(
command.getStartRunner(),
command.getStatusRunner(),
command.getDecompressPackageName(),
command.getRunAs()
);
if (startResult.getExecResult()) {
logger.info("✅ ClickHouse 服务启动成功" );
} else {
logger.error("❌ ClickHouse 服务启动失败" );
}
return startResult;
}
}
这个是策略文件，参考其他策略文件改写而成，就加了调用上面的创建 zk 目录服务即可。
集群配置 这个安装默认是集群安装的，即有分片，副本。但是如何验证是否真正分片及副本。
那只能使用 ck 命令回答这个问题。
root@ddp2:/opt/datasophon/clickhouse# ./clickhouse.sh start
[INFO] 2026-03-12 01:47:49 启动 ClickHouse 服务器...
[INFO] 2026-03-12 01:47:49 执行：/opt/datasophon/clickhouse/bin/clickhouse server --config-file=/opt/datasophon/clickhouse/conf/config.xml
[INFO] 2026-03-12 01:47:52 ✅ ClickHouse 启动成功 (PID: 507326)
[INFO] 2026-03-12 01:47:52 ✅ HTTP 接口正常 (端口：8123)
root@ddp2:/opt/datasophon/clickhouse# ./clickhouse.sh status
ClickHouse is running (PID: 507326)
root@ddp2:/opt/datasophon/clickhouse# cd bin
root@ddp2:/opt/datasophon/clickhouse/bin# ./clickhouse client --host 127.0.0.1 --port 9000 --user default
ClickHouse client version 23.3.10.5 (official build). Connecting to 127.0.0.1:9000 as user default.
Connected to ClickHouse server version 23.3.10 revision 54462.ddp2:) SHOW CLUSTERS;
SHOW CLUSTERS Query id : 0cb5946f-8041-4aff-96e0-6d51fe8c94d6
┌─cluster────────────┐
│ datasophon_cluster │
└────────────────────┘
1 row in set . Elapsed: 0.002 sec.
ddp2:) SELECT cluster, shard_num, replica_num, host_name FROM system.clusters WHERE cluster ='datasophon_cluster' ORDER BY shard_num, replica_num;
SELECT cluster, shard_num, replica_num, host_name FROM system.clusters WHERE cluster ='datasophon_cluster' ORDER BY shard_num ASC, replica_num ASC Query id : b22d1ae9-6ee0-4977-8b39-1e1faa8ae885
┌─cluster────────────┬─shard_num─┬─replica_num─┬─host_name─┐
│ datasophon_cluster │ 1 │ 1 │ ddp1 │
│ datasophon_cluster │ 1 │ 2 │ ddp2 │
│ datasophon_cluster │ 2 │ 1 │ ddp3 │
│ datasophon_cluster │ 2 │ 2 │ ddp4 │
└────────────────────┴───────────┴─────────────┴───────────┘
4 rows in set . Elapsed: 0.002 sec.
最后的查询，显示了整个集群配置。
查询 SELECT cluster, shard_num, replica_num, host_name FROM system.clusters 返回了完整的集群拓扑结构：
text
┌─cluster────────────┬─shard_num─┬─replica_num─┬─host_name─┐
│ datasophon_cluster │ 1 │ 1 │ ddp1 │ ← 分片 1 的副本 1
│ datasophon_cluster │ 1 │ 2 │ ddp2 │ ← 分片 1 的副本 2
│ datasophon_cluster │ 2 │ 1 │ ddp3 │ ← 分片 2 的副本 1
│ datasophon_cluster │ 2 │ 2 │ ddp4 │ ← 分片 2 的副本 2
└────────────────────┴───────────┴─────────────┴───────────┘
对应你最初的配置：
1:1:ddp1 → 分片 1，副本 1，主机 ddp1
1:2:ddp2 → 分片 1，副本 2，主机 ddp2
2:1:ddp3 → 分片 2，副本 1，主机 ddp3
2:2:ddp4 → 分片 2，副本 2，主机 ddp4
这正好对应你在 DataSophon 中输入的配置。
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