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shezaixing
dsk-dsc-flink
Commits
266bbd10
Commit
266bbd10
authored
Sep 26, 2024
by
shezaixing
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同步写入达梦客户端
parent
6085ef5a
Changes
7
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7 changed files
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522 additions
and
17 deletions
+522
-17
pom.xml
pom.xml
+5
-0
AsyncDamengDataTransferFunction.java
.../dsc/common/function/AsyncDamengDataTransferFunction.java
+290
-0
CanalMapToTsGroupFunction.java
.../flink/dsc/common/function/CanalMapToTsGroupFunction.java
+35
-0
GroupTsProcessWindowFunction.java
...ink/dsc/common/function/GroupTsProcessWindowFunction.java
+44
-0
DamengDataTransferSink.java
...com/dsk/flink/dsc/common/sink/DamengDataTransferSink.java
+114
-0
SyncCustomerDataSource.java
...n/java/com/dsk/flink/dsc/sync/SyncCustomerDataSource.java
+31
-14
EtlUtils.java
src/main/java/com/dsk/flink/dsc/utils/EtlUtils.java
+3
-3
No files found.
pom.xml
View file @
266bbd10
...
...
@@ -351,6 +351,11 @@
<version>
2.1.3
</version>
</dependency>
<dependency>
<groupId>
com.dameng
</groupId>
<artifactId>
DmJdbcDriver18
</artifactId>
<version>
8.1.1.193
</version>
</dependency>
</dependencies>
<repositories>
...
...
src/main/java/com/dsk/flink/dsc/common/function/AsyncDamengDataTransferFunction.java
0 → 100644
View file @
266bbd10
This diff is collapsed.
Click to expand it.
src/main/java/com/dsk/flink/dsc/common/function/CanalMapToTsGroupFunction.java
0 → 100644
View file @
266bbd10
package
com
.
dsk
.
flink
.
dsc
.
common
.
function
;
import
cn.hutool.core.collection.CollUtil
;
import
com.alibaba.fastjson.JSONArray
;
import
com.alibaba.fastjson.JSONObject
;
import
org.apache.flink.api.common.functions.MapFunction
;
import
org.apache.flink.api.java.tuple.Tuple3
;
import
java.util.HashSet
;
import
java.util.Set
;
public
class
CanalMapToTsGroupFunction
implements
MapFunction
<
JSONObject
,
Tuple3
<
JSONObject
,
String
,
Long
>>
{
@Override
public
Tuple3
<
JSONObject
,
String
,
Long
>
map
(
JSONObject
value
)
throws
Exception
{
JSONArray
dataList
=
value
.
getJSONArray
(
"data"
);
JSONObject
mysqlType
=
value
.
getJSONObject
(
"mysqlType"
);
String
table
=
value
.
getString
(
"table"
);
JSONArray
pkNames
=
value
.
getJSONArray
(
"pkNames"
);
Set
<
String
>
pkNameSet
=
new
HashSet
<>();
long
ts
=
value
.
getLong
(
"ts"
);
if
(
CollUtil
.
isNotEmpty
(
pkNames
))
{
pkNames
.
forEach
(
name
->
pkNameSet
.
add
(
String
.
valueOf
(
name
)));
}
JSONObject
dataObj
=
dataList
.
getJSONObject
(
0
);
String
groupKey
=
table
;
for
(
String
pk
:
pkNameSet
)
{
String
pkValue
=
AsyncDamengDataTransferFunction
.
getValueString
(
dataObj
,
pk
,
mysqlType
.
getString
(
pk
));
groupKey
=
table
.
concat
(
"-"
).
concat
(
pkValue
);
}
return
Tuple3
.
of
(
value
,
groupKey
,
ts
);
}
}
src/main/java/com/dsk/flink/dsc/common/function/GroupTsProcessWindowFunction.java
0 → 100644
View file @
266bbd10
package
com
.
dsk
.
flink
.
dsc
.
common
.
function
;
import
cn.hutool.core.collection.CollUtil
;
import
cn.hutool.core.util.StrUtil
;
import
com.alibaba.fastjson.JSONObject
;
import
org.apache.flink.api.java.tuple.Tuple3
;
import
org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction
;
import
org.apache.flink.streaming.api.windowing.windows.TimeWindow
;
import
org.apache.flink.util.Collector
;
import
java.util.List
;
import
java.util.Map
;
import
java.util.stream.Collectors
;
public
class
GroupTsProcessWindowFunction
extends
ProcessWindowFunction
<
Tuple3
<
JSONObject
,
String
,
Long
>,
JSONObject
,
Long
,
TimeWindow
>
{
@Override
public
void
process
(
Long
aLong
,
ProcessWindowFunction
<
Tuple3
<
JSONObject
,
String
,
Long
>,
JSONObject
,
Long
,
TimeWindow
>.
Context
context
,
Iterable
<
Tuple3
<
JSONObject
,
String
,
Long
>>
elements
,
Collector
<
JSONObject
>
out
)
throws
Exception
{
List
<
Tuple3
<
JSONObject
,
String
,
Long
>>
list
=
CollUtil
.
list
(
false
,
elements
);
Map
<
Long
,
List
<
Tuple3
<
JSONObject
,
String
,
Long
>>>
tsGroupMap
=
list
.
stream
().
collect
(
Collectors
.
groupingBy
(
x
->
x
.
f2
));
Long
max
=
CollUtil
.
max
(
tsGroupMap
.
keySet
());
List
<
Tuple3
<
JSONObject
,
String
,
Long
>>
resList
=
tsGroupMap
.
get
(
max
);
if
(
resList
.
size
()
==
2
){
JSONObject
insertJson
=
new
JSONObject
();
JSONObject
deleteJson
=
new
JSONObject
();
for
(
Tuple3
<
JSONObject
,
String
,
Long
>
rs
:
resList
)
{
if
(
"INSERT"
.
equals
(
rs
.
f0
.
getString
(
"type"
))){
insertJson
=
rs
.
f0
;
}
if
(
"DELETE"
.
equals
(
rs
.
f0
.
getString
(
"type"
))){
deleteJson
=
rs
.
f0
;
}
}
if
(
StrUtil
.
isNotBlank
(
insertJson
.
getString
(
"type"
))
&&
StrUtil
.
isNotBlank
(
deleteJson
.
getString
(
"type"
))){
insertJson
.
put
(
"type"
,
"UPDATE"
);
insertJson
.
put
(
"old"
,
deleteJson
.
getJSONArray
(
"data"
));
out
.
collect
(
insertJson
);
return
;
}
}
out
.
collect
(
resList
.
get
(
0
).
f0
);
}
}
src/main/java/com/dsk/flink/dsc/common/sink/DamengDataTransferSink.java
0 → 100644
View file @
266bbd10
package
com
.
dsk
.
flink
.
dsc
.
common
.
sink
;
import
cn.hutool.core.date.DateUtil
;
import
cn.hutool.core.lang.Snowflake
;
import
cn.hutool.core.util.IdUtil
;
import
cn.hutool.core.util.RandomUtil
;
import
cn.hutool.db.DbUtil
;
import
com.alibaba.druid.pool.DruidDataSource
;
import
com.dsk.flink.dsc.common.dto.SqlErrorLog
;
import
com.dsk.flink.dsc.utils.EnvProperties
;
import
org.apache.flink.configuration.Configuration
;
import
org.apache.flink.streaming.api.functions.sink.RichSinkFunction
;
import
org.slf4j.Logger
;
import
org.slf4j.LoggerFactory
;
import
java.sql.Connection
;
import
java.sql.PreparedStatement
;
import
java.util.concurrent.ExecutorService
;
import
java.util.concurrent.LinkedBlockingDeque
;
import
java.util.concurrent.ThreadPoolExecutor
;
import
java.util.concurrent.TimeUnit
;
public
class
DamengDataTransferSink
extends
RichSinkFunction
<
String
>
{
static
Logger
logger
=
LoggerFactory
.
getLogger
(
DamengDataTransferSink
.
class
);
EnvProperties
envProps
;
ExecutorService
executorService
;
DruidDataSource
dataSource
;
public
DamengDataTransferSink
(
EnvProperties
envProps
)
{
this
.
envProps
=
envProps
;
}
@Override
public
void
open
(
Configuration
parameters
)
throws
Exception
{
executorService
=
new
ThreadPoolExecutor
(
4
,
4
,
20
,
TimeUnit
.
MINUTES
,
new
LinkedBlockingDeque
<>());
//初始化获取配置
String
configTidbUrl
=
String
.
format
(
envProps
.
getDb_url
(),
envProps
.
getDb_host
(),
envProps
.
getDb_port
(),
envProps
.
getDb_database
());
//System.out.println(configTidbUrl);
dataSource
=
new
DruidDataSource
();
dataSource
.
setDriverClassName
(
"dm.jdbc.driver.DmDriver"
);
dataSource
.
setUsername
(
envProps
.
getDb_username
());
dataSource
.
setPassword
(
envProps
.
getDb_password
());
dataSource
.
setUrl
(
configTidbUrl
);
dataSource
.
setMaxActive
(
30
);
dataSource
.
setInitialSize
(
10
);
dataSource
.
setTestWhileIdle
(
true
);
dataSource
.
setMaxWait
(
20000
);
dataSource
.
setValidationQuery
(
"select 1"
);
}
@Override
public
void
close
()
throws
Exception
{
executorService
.
shutdown
();
dataSource
.
close
();
}
@Override
public
void
invoke
(
String
value
,
Context
context
)
throws
Exception
{
executorService
.
execute
(()
->
{
try
{
executeSql
(
value
);
}
catch
(
Exception
e
){
e
.
printStackTrace
();
}
});
}
private
void
executeSql
(
String
sql
)
throws
Exception
{
Connection
connection
=
null
;
PreparedStatement
pt
=
null
;
try
{
connection
=
dataSource
.
getConnection
();
pt
=
connection
.
prepareStatement
(
sql
);
pt
.
execute
();
}
catch
(
Exception
e
)
{
System
.
out
.
println
(
"sql报错----->"
+
sql
);
e
.
printStackTrace
();
logger
.
error
(
"------错误时间:{}-----,sql:{}--------异常:{}"
,
DateUtil
.
now
(),
sql
,
e
.
getMessage
());
// SqlErrorLog errorLog = new SqlErrorLog(new Date(), sql, e.getMessage());
// try {
// writeErrLog(errorLog);
// }catch (Exception re){
// logger.error("错误日志保存异常 -> {}", re.getMessage());
// }
}
finally
{
DbUtil
.
close
(
connection
,
pt
);
}
}
private
void
writeErrLog
(
SqlErrorLog
errorLog
)
{
writeErrLogDb
(
errorLog
);
}
private
void
writeErrLogDb
(
SqlErrorLog
errorLog
)
{
Snowflake
snowflake
=
IdUtil
.
getSnowflake
(
RandomUtil
.
randomInt
(
31
),
RandomUtil
.
randomInt
(
31
));
String
sql
=
"insert dsc_err_log (id,error_time, error_sql, error_msg) values (?, ?, ?, ?)"
;
Connection
conn
=
null
;
PreparedStatement
pt
=
null
;
try
{
conn
=
dataSource
.
getConnection
();
pt
=
conn
.
prepareStatement
(
sql
);
pt
.
setLong
(
1
,
snowflake
.
nextId
()
+
RandomUtil
.
randomInt
(
10
,
99
));
pt
.
setObject
(
2
,
errorLog
.
getErrorTime
());
pt
.
setString
(
3
,
errorLog
.
getSql
());
pt
.
setString
(
4
,
errorLog
.
getError
());
pt
.
execute
();
}
catch
(
Exception
e
){
logger
.
error
(
"错误日志保存异常 -> {}"
,
e
.
getMessage
());
}
finally
{
DbUtil
.
close
(
conn
,
pt
);
}
}
}
src/main/java/com/dsk/flink/dsc/sync/SyncCustomerDataSource.java
View file @
266bbd10
...
...
@@ -3,8 +3,10 @@ package com.dsk.flink.dsc.sync;
import
cn.hutool.core.collection.CollUtil
;
import
cn.hutool.core.util.StrUtil
;
import
com.alibaba.fastjson.JSONObject
;
import
com.dsk.flink.dsc.common.function.AsyncMysqlDataTransferFunctionNew
;
import
com.dsk.flink.dsc.common.sink.MysqlDataTransferSink
;
import
com.dsk.flink.dsc.common.function.AsyncDamengDataTransferFunction
;
import
com.dsk.flink.dsc.common.function.CanalMapToTsGroupFunction
;
import
com.dsk.flink.dsc.common.function.GroupTsProcessWindowFunction
;
import
com.dsk.flink.dsc.common.sink.DamengDataTransferSink
;
import
com.dsk.flink.dsc.utils.EnvProperties
;
import
com.dsk.flink.dsc.utils.EnvPropertiesUtil
;
import
com.dsk.flink.dsc.utils.EtlUtils
;
...
...
@@ -38,7 +40,6 @@ import java.util.stream.Collectors;
* @author shezaixing
* @date 2023/12/5 14:44
* @description 同步至客户目标数据源任务
*
*/
@Slf4j
public
class
SyncCustomerDataSource
{
...
...
@@ -60,14 +61,19 @@ public class SyncCustomerDataSource {
String
offsetTimestamp
=
parameterTool
.
get
(
"offsetTimestamp"
);
String
propertiesPath
=
parameterTool
.
get
(
"propertiesPath"
);
EnvProperties
envProps
=
EnvPropertiesUtil
.
getPropertiesFromArgsPath
(
propertiesPath
);
envProps
.
put
(
"providerImpl"
,
JdbcConnectionProviderFactory
.
HikariDataSourceJdbcConnectionProvider
.
class
.
getName
());
envProps
.
put
(
"providerImpl"
,
JdbcConnectionProviderFactory
.
HikariDataSourceJdbcConnectionProvider
.
class
.
getName
());
System
.
out
.
println
(
"读取到的配置文件:-> "
+
envProps
.
toString
());
System
.
out
.
println
(
"读取到的数据连接配置:->"
+
String
.
format
(
envProps
.
getDb_url
(),
envProps
.
getDb_host
(),
envProps
.
getDb_port
(),
envProps
.
getDb_database
()));
System
.
out
.
println
(
"读取到的数据连接配置:->"
+
String
.
format
(
envProps
.
getDb_url
(),
envProps
.
getDb_host
(),
envProps
.
getDb_port
(),
envProps
.
getDb_database
()));
System
.
out
.
println
(
"获取到的kafka消费组:->"
+
EtlUtils
.
getKafkaGroup
(
envProps
));
//TODO 到时需要改这里,改成正式的消费组
FlinkKafkaConsumer
<
String
>
kafkaConsumer
=
new
FlinkKafkaConsumer
<
String
>(
envProps
.
getKafka_topic
(),
new
SimpleStringSchema
(),
EtlUtils
.
getKafkaConfig
(
envProps
.
getKafka_brokers
(),
EtlUtils
.
getKafkaGroup
(
envProps
),
envProps
.
getKafka_username
(),
envProps
.
getKafka_password
()));
FlinkKafkaConsumer
<
String
>
kafkaConsumer
=
new
FlinkKafkaConsumer
<
String
>(
envProps
.
getKafka_topic
(),
new
SimpleStringSchema
(),
EtlUtils
.
getKafkaConfig
(
envProps
.
getKafka_brokers
(),
EtlUtils
.
getKafkaGroup
(
envProps
),
envProps
.
getKafka_username
(),
envProps
.
getKafka_password
()));
//System.out.println(envProps.getKafka_topic());
long
defaultOffset
=
LocalDateTime
.
now
().
minusMinutes
(
10
).
atZone
(
ZoneId
.
systemDefault
()).
toInstant
().
toEpochMilli
();
long
defaultOffset
=
LocalDateTime
.
now
().
minusMinutes
(
10
).
atZone
(
ZoneId
.
systemDefault
()).
toInstant
().
toEpochMilli
();
kafkaConsumer
.
setStartFromTimestamp
(
defaultOffset
);
//kafkaConsumer.setStartFromLatest();
//偏移量
...
...
@@ -95,7 +101,14 @@ public class SyncCustomerDataSource {
//canalJsonStream.print("canal stream");
// SingleOutputStreamOperator<String> sqlResultStream = AsyncDataStream.orderedWait(canalJsonStream, new AsyncMysqlDataTransferFunction(envProps), 1200L, TimeUnit.SECONDS, 20)
SingleOutputStreamOperator
<
Tuple3
<
JSONObject
,
String
,
Long
>>
tsGroupStream
=
canalJsonStream
.
map
(
new
CanalMapToTsGroupFunction
());
SingleOutputStreamOperator
<
JSONObject
>
process
=
tsGroupStream
.
keyBy
(
x
->
x
.
f2
)
.
window
(
TumblingProcessingTimeWindows
.
of
(
Time
.
seconds
(
3
)))
.
process
(
new
GroupTsProcessWindowFunction
());
// SingleOutputStreamOperator<String> sqlResultStream = AsyncDataStream.orderedWait(canalJsonStream, new
// AsyncMysqlDataTransferFunction(envProps), 1200L, TimeUnit.SECONDS, 20)
// .filter(new FilterFunction<String>() {
// @Override
// public boolean filter(String value) throws Exception {
...
...
@@ -109,8 +122,8 @@ public class SyncCustomerDataSource {
//
// sqlResultStream.addSink(new MysqlDataTransferSink(envProps)).name("sqlSinkStream").uid("sqlSinkStream");
SingleOutputStreamOperator
<
Tuple3
<
String
,
String
,
Long
>>
sqlResultStream1
=
AsyncDataStream
.
orderedWait
(
canalJsonStream
,
new
AsyncMysqlDataTransferFunctionNew
(
envProps
),
1200L
,
TimeUnit
.
SECONDS
,
20
)
SingleOutputStreamOperator
<
Tuple3
<
String
,
String
,
Long
>>
sqlResultStream1
=
AsyncDataStream
.
orderedWait
(
process
,
new
AsyncDamengDataTransferFunction
(
envProps
),
1200L
,
TimeUnit
.
SECONDS
,
20
)
.
filter
(
new
FilterFunction
<
Tuple3
<
String
,
String
,
Long
>>()
{
@Override
public
boolean
filter
(
Tuple3
<
String
,
String
,
Long
>
value
)
throws
Exception
{
...
...
@@ -129,8 +142,10 @@ public class SyncCustomerDataSource {
Collector
<
String
>
out
)
throws
Exception
{
List
<
Tuple3
<
String
,
String
,
Long
>>
list
=
CollUtil
.
list
(
false
,
elements
);
if
(
"dsc_cdc_log"
.
equals
(
list
.
get
(
0
).
f1
))
{
list
=
list
.
stream
().
sorted
(
Comparator
.
comparing
(
x
->
x
.
f2
,
Comparator
.
reverseOrder
()
)).
collect
(
Collectors
.
toList
());
list
.
forEach
(
x
->
{
out
.
collect
(
x
.
f0
);});
list
=
list
.
stream
().
sorted
(
Comparator
.
comparing
(
x
->
x
.
f2
,
Comparator
.
reverseOrder
())).
collect
(
Collectors
.
toList
());
list
.
forEach
(
x
->
{
out
.
collect
(
x
.
f0
);
});
return
;
}
Tuple3
<
String
,
String
,
Long
>
maxTsElement
=
...
...
@@ -140,9 +155,11 @@ public class SyncCustomerDataSource {
})
.
name
(
"groupWindowSqlResultStream"
)
.
uid
(
"groupWindowSqlResultStream"
);
groupWindowSqlResultStream
.
print
(
"sql result"
);
groupWindowSqlResultStream
.
addSink
(
new
MysqlDataTransferSink
(
envProps
)).
name
(
"sqlSinkStream"
).
uid
(
"sqlSinkStream"
);
//groupWindowSqlResultStream.print("sql result");
groupWindowSqlResultStream
.
addSink
(
new
DamengDataTransferSink
(
envProps
)).
name
(
"sqlSinkStream"
).
uid
(
"sqlSinkStream"
);
env
.
execute
();
}
}
src/main/java/com/dsk/flink/dsc/utils/EtlUtils.java
View file @
266bbd10
...
...
@@ -22,9 +22,9 @@ public class EtlUtils {
/*properties.setProperty("sasl.jaas.config", "org.apache.kafka.common.security.plain.PlainLoginModule required username=\"dsk\" password=\"LU1SRhTzoxssRoCp\";");
properties.setProperty("security.protocol", "SASL_PLAINTEXT");
properties.setProperty("sasl.mechanism", "PLAIN");*/
properties
.
setProperty
(
"sasl.jaas.config"
,
getSaslJaasConfig
(
username
,
password
));
properties
.
setProperty
(
"security.protocol"
,
"SASL_PLAINTEXT"
);
properties
.
setProperty
(
"sasl.mechanism"
,
"SCRAM-SHA-512"
);
//
properties.setProperty("sasl.jaas.config", getSaslJaasConfig(username,password));
//
properties.setProperty("security.protocol", "SASL_PLAINTEXT");
//
properties.setProperty("sasl.mechanism", "SCRAM-SHA-512");
return
properties
;
}
...
...
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