radius日志补全
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李玺康
126
dependency-reduced-pom.xml
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126
dependency-reduced-pom.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>cn.ac.iie</groupId>
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<artifactId>log-stream-completion</artifactId>
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<name>log-stream-completion</name>
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<version>0.0.1-SNAPSHOT</version>
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<url>http://maven.apache.org</url>
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<build>
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<resources>
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<resource>
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<directory>properties</directory>
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<includes>
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<include>**/*.properties</include>
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<include>**/*.xml</include>
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</includes>
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</resource>
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<resource>
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<directory>src/main/java</directory>
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<includes>
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<include>log4j.properties</include>
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</includes>
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</resource>
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</resources>
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<plugins>
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<plugin>
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<artifactId>maven-shade-plugin</artifactId>
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<version>2.4.2</version>
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<executions>
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<execution>
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<phase>package</phase>
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<goals>
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<goal>shade</goal>
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</goals>
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<configuration>
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<transformers>
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<transformer>
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<mainClass>cn.ac.iie.topology.LogFlowWriteTopology</mainClass>
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</transformer>
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<transformer>
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<resource>META-INF/spring.handlers</resource>
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</transformer>
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<transformer>
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<resource>META-INF/spring.schemas</resource>
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</transformer>
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</transformers>
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</configuration>
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</execution>
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</executions>
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</plugin>
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<plugin>
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<artifactId>maven-compiler-plugin</artifactId>
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<version>2.3.2</version>
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<configuration>
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<source>1.8</source>
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<target>1.8</target>
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</configuration>
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</plugin>
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</plugins>
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</build>
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<repositories>
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<repository>
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<id>nexus</id>
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<name>Team Nexus Repository</name>
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<url>http://192.168.40.125:8099/content/groups/public</url>
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</repository>
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</repositories>
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<dependencies>
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<dependency>
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<groupId>org.apache.storm</groupId>
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<artifactId>storm-core</artifactId>
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<version>1.0.2</version>
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<scope>provided</scope>
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<exclusions>
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<exclusion>
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<artifactId>slf4j-log4j12</artifactId>
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<groupId>org.slf4j</groupId>
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</exclusion>
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<exclusion>
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<artifactId>log4j-over-slf4j</artifactId>
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<groupId>org.slf4j</groupId>
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</exclusion>
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<exclusion>
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<artifactId>kryo</artifactId>
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<groupId>com.esotericsoftware</groupId>
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</exclusion>
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<exclusion>
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<artifactId>clojure</artifactId>
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<groupId>org.clojure</groupId>
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</exclusion>
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<exclusion>
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<artifactId>log4j-api</artifactId>
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<groupId>org.apache.logging.log4j</groupId>
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</exclusion>
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<exclusion>
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<artifactId>log4j-core</artifactId>
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<groupId>org.apache.logging.log4j</groupId>
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</exclusion>
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<exclusion>
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<artifactId>log4j-slf4j-impl</artifactId>
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<groupId>org.apache.logging.log4j</groupId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>junit</groupId>
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<artifactId>junit</artifactId>
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<version>4.12</version>
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<scope>test</scope>
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<exclusions>
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<exclusion>
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<artifactId>hamcrest-core</artifactId>
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<groupId>org.hamcrest</groupId>
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</exclusion>
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</exclusions>
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</dependency>
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</dependencies>
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<properties>
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<hbase.version>1.4.9</hbase.version>
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<storm.version>1.0.2</storm.version>
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<hadoop.version>2.7.1</hadoop.version>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<kafka.version>1.0.0</kafka.version>
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</properties>
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</project>
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@@ -1,11 +1,11 @@
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#管理kafka地址
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bootstrap.servers=192.168.40.119:9092,192.168.40.122:9092,192.168.40.123:9092
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bootstrap.servers=192.168.40.186:9092
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#zookeeper 地址
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zookeeper.servers=192.168.40.119:2181,192.168.40.122:2181,192.168.40.123:2181
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zookeeper.servers=192.168.40.186:2181
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#hbase zookeeper地址
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hbase.zookeeper.servers=192.168.40.203:2181
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hbase.zookeeper.servers=192.168.40.186:2181
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#hbase tablename
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hbase.table.name=subcriber_info
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@@ -23,29 +23,29 @@ group.id=radius-completion-program
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results.output.topic=RADIUS-COMPLETED-LOG
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#storm topology workers
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topology.workers=2
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topology.workers=1
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#spout并行度 建议与kafka分区数相同
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spout.parallelism=3
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spout.parallelism=1
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#处理补全操作的bolt并行度-worker的倍数
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datacenter.bolt.parallelism=3
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#写入kafkad的并行度
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#写入kafka的并行度
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kafka.bolt.parallelism=3
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#定位库地址
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ip.library=/home/ceiec/topology/dat/
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ip.library=/dat/
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#ip.library=D:/dat/
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#kafka批量条数
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batch.insert.num=5000
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#数据中心（UID）
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data.center.id.num=10
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data.center.id.num=15
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#tick时钟频率
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topology.tick.tuple.freq.secs=60
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topology.tick.tuple.freq.secs=5
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#当bolt性能受限时，限制spout接收速度，理论看ack开启才有效
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topology.config.max.spout.pending=150000
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@@ -63,7 +63,7 @@ check.ip.scope=10,100,192
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max.failure.num=20
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#influx地址
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influx.ip=http://192.168.40.151:8086
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influx.ip=http://10.4.35.12:8086
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#influx用户名
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influx.username=admin
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