spark+phoenix

 

phoenix作为查询引擎，为了提高查询效率，为phoenix表创建了二级索引，而数据是sparkstreaming通过hbase api直接向hbase插数据。那么问题来了，对于phoenix的二级索引，直接插入底层hbase的源表，不会引起二级索引的更新，从而导致phoenix索引数据和hbase源表数据不一致。而对于spark+phoenix的写入方式，官方有文档说明，但是有版本限制，以下是官方原文：

• • to ensure that all requisite phoenix / hbase platform dependencies are available on the classpath for the spark executors and drivers, set both ‘spark.executor.extraclasspath’ and ‘spark.driver.extraclasspath’ in spark-defaults.conf to include the ‘phoenix-<version>-client.jar’

  • note that for phoenix versions 4.7 and 4.8 you must use the ‘phoenix-<version>-client-spark.jar’. as of phoenix 4.10, the ‘phoenix-<version>-client.jar’ is compiled against spark 2.x. if compability with spark 1.x if needed, you must compile phoenix with the spark16 maven profile.

所以只能考虑用jdbc的方式做。

我使用的版本信息：

• spark：2.2.1
• phoenix：4.13.2

jar包引入：

•  <dependency>
              <groupid>org.apache.phoenix</groupid>
              <artifactid>phoenix-core</artifactid>
              <version>4.13.1-hbase-1.2</version>
          </dependency>
          <dependency>
              <groupid>org.apache.phoenix</groupid>
              <artifactid>phoenix-spark</artifactid>
              <version>4.13.1-hbase-1.2</version>
          </dependency>

   

phoenixutil类:

• public class phoenixutil {
  
      private static linkedlist<connection> connectionqueue;
  
      static {
          try {
              class.forname("org.apache.phoenix.jdbc.phoenixdriver");
          } catch (classnotfoundexception e) {
              e.printstacktrace();
          }
      }
  
      public synchronized static connection getconnection() throws sqlexception {
          try {
              if (connectionqueue == null){
                  connectionqueue = new linkedlist<connection>();
                  for (int i = 0;i < 3;i++){
                      connection conn = drivermanager.getconnection("jdbc:phoenix:hostname:2181");
  
                      connectionqueue.push(conn);
                  }
              }
          }catch (exception e1){
              e1.printstacktrace();
          }
          return connectionqueue.poll();
      }
  
      public static void returnconnection(connection conn){
          connectionqueue.push(conn);
      }

   

在sparkstreaming中引入phoenixutil类（由于业务关系，这里使用的是statement）：

savelines.foreachrdd(rdd -> { rdd.foreachpartition(p -> { connection conn = phoenixutil.getconnection(); statement stmt = conn.createstatement(); conn.setautocommit(false); //业务逻辑 //sql } stmt.addbatch(sql); } stmt.executebatch(); conn.commit(); stmt.close(); phoenixutil.returnconnection(conn); zkkafkautil.updateoffset(offsetranges, group_id, topic); }); });

最后，如果大家有更好的方式处理这个问题，欢迎指教。