软件版本 flink:1.13.6 hive:1.1.1 hadoop:2.6.0-cdh5.16.2 通过createRemoteEnvironment方式将sql提交到远程flink集群操作的,hive连接时通过了Kerberos认证。代码如下,
运行后不报错,flink集群能看到job正在运行,kafka和hive表都创建成功了,kafka中一直在产生新的消息,而hive中却没有新数据进表中。 测试过将输出改为mysql或者csv文件都能持续产生新记录,hive表中的数据也能读取出来,或者从hive的一张表将数据插入刚刚创建的表中也是成功的。就是不知道为什么不能将kafka的动态数据动态写入新建的hive表中。 String KRB5_CONF_PATH = "/home/tetris/conf/krb5.ini"; String keytab = "/home/tetris/conf/company.keytab"; String principal = "company"; System.setProperty("java.security.krb5.conf", KRB5_CONF_PATH); Configuration configuration = new Configuration(); configuration.set("hadoop.security.authentication", "kerberos"); configuration.set("keytab.file", keytab); configuration.setBoolean("hadoop.security.authorization", true); configuration.set("kerberos.principal", principal); UserGroupInformation.setConfiguration(configuration); UserGroupInformation.loginUserFromKeytab(principal, keytab); EnvironmentSettings bsSettings = EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build(); StreamExecutionEnvironment env = StreamExecutionEnvironment.createRemoteEnvironment("node1", 8081); StreamTableEnvironment flinkTableEnv = StreamTableEnvironment.create(env,bsSettings); HiveCatalog hiveCatalog = new HiveCatalog("myhive", "tetris", "/home/tetris/conf", "1.1.1"); flinkTableEnv.registerCatalog("myhive",hiveCatalog); flinkTableEnv.useCatalog("myhive"); flinkTableEnv.executeSql("DROP TABLE IF EXISTS data_2431_4928").print(); flinkTableEnv.executeSql("CREATE TABLE data_2431_4928(id STRING,user_id STRING,status STRING) WITH (\n" + "'connector' = 'kafka',\n" + "'topic' = 'person',\n" + "'properties.bootstrap.servers' = '121.4.89.228:9092',\n" + "'properties.group.id' = 'testGroup',\n" + "'scan.startup.mode' = 'latest-offset',\n" + "'format' = 'json',\n" + "'json.fail-on-missing-field'='false','json.ignore-parse-errors'='true'\n" + ")").print(); flinkTableEnv.getConfig().setSqlDialect(SqlDialect.HIVE); flinkTableEnv.executeSql("DROP TABLE IF EXISTS output_2431_4930").print(); flinkTableEnv.executeSql("CREATE TABLE output_2431_4930(id STRING,user_id STRING,status STRING)").print(); flinkTableEnv.getConfig().setSqlDialect(SqlDialect.DEFAULT); TableResult result = flinkTableEnv.executeSql("INSERT INTO output_2431_4930 SELECT id, user_id ,`status` FROM data_2431_4928"); System.out.println(result.getJobClient().get().getJobID()); 谌祥,杭州 - java后端开发 - 大数据方向 799590...@qq.com