最近项目组分配到研究storm-jdbc用法
发现网上关于insert和query方法挺多的，但是自定义方法很少。而且用法上也挺多缺陷。在此自己总结记录一下
JdbcInsertBolt 的核心代码
/*
*
* JdbcInsertBolt org.apache.storm 默认包下 此类不会进行emit。所以插入数据后不能接下层bolt
* 如果需要在插入数据后继续往下游流数据必须在源码中进行添加 在github可以获得类（JdbcLookupBolt也是类似，响应还有hbase和redis）
* */
public static JdbcInsertBolt getJdbcInsertBolt() {
System.out.println("had run.........==============");
//Fields outputFields = new Fields("session","time","count");//输出给下层bolt
//get session time
List<Column> schemaColumns = Lists.newArrayList(new Column("session", Types.VARCHAR),//上游过来的字段
new Column("time", Types.INTEGER));
JdbcMapper simpleJdbcMapper = new SimpleJdbcMapper(schemaColumns);
//SimpleJdbcLookupMapper lookupMapper = new SimpleJdbcLookupMapper(outputFields, schemaColumns);
JdbcInsertBolt jdbcInsertBolt = new JdbcInsertBolt(connectionProvider,simpleJdbcMapper)
.withInsertQuery("insert into webinfo(session,time) values(?,?)")
.withQueryTimeoutSecs(50);
return jdbcInsertBolt;
}
//query的核心代码
public static JdbcLookupBolt getJdbcLookupBlot() {
Fields outputFields = new Fields("session","time","count");//输出给下层bolt
List<Column> queryParamColumns = Lists.newArrayList(new Column("session", Types.VARCHAR),
new Column("time", Types.INTEGER)//上层bolt流入
);
//String insertSQL = "insert into student_infos(name,age) values(?,?)";
String selectSql = "select count(*) count from student_infos where session=? and time=?";
SimpleJdbcLookupMapper lookupMapper = new SimpleJdbcLookupMapper(outputFields, queryParamColumns);
JdbcLookupBolt userNameLookupBolt = new JdbcLookupBolt(connectionProvider, selectSql, lookupMapper)
.withQueryTimeoutSecs(30);
//return userNameLookupBolt;
// JdbcState.Options options = new JdbcState.Options()
// .withConnectionProvider(connectionProvider)
// .withJdbcLookupMapper(new SimpleJdbcLookupMapper(new Fields("user_name"), Lists.newArrayList(new Column("user_id", Types.INTEGER))))
// .withSelectQuery("select user_name from user_details where user_id = ?")
// .withQueryTimeoutSecs(30);
// JdbcStateFactory jdbcStateFactory = new JdbcStateFactory(options);
return userNameLookupBolt;
}
//自定义查询方法的核心代码
private JdbcClient client;
public void setup() {
// Map map = Maps.newHashMap();
// map.put("dataSourceClassName","org.hsqldb.jdbc.JDBCDataSource");//com.mysql.jdbc.jdbc2.optional.MysqlDataSource
// map.put("dataSource.url", "jdbc:hsqldb:mem:test");//jdbc:mysql://localhost/test
// map.put("dataSource.user","SA");//root
// map.put("dataSource.password","");//password
// ConnectionProvider connectionProvider = new HikariCPConnectionProvider(map);
connectionProvider.prepare();
int queryTimeoutSecs = 60;
this.client = new JdbcClient(connectionProvider, queryTimeoutSecs);
client.executeSql("UPDATE webinfo s SET s.session=‘haitao‘ where s.time = ‘4‘ ");
}
关于用stormJDBC 效率提升上还是挺大的，项目组兄弟自己写插入一条在50MS左右，大数据下这种情况是不允许的，太慢，然后通过storm开源工具插入，大概在初始化50MS，后面每条是5MS。当然想更快应该也可以做事务JDBC。暂时还没研究
更多参考资料：
https://insight.io/github.com/apache/storm/tree/HEAD/external/storm-jdbc/