flink1.10 定义表时，把json数组声明成STRING类型的，查询出来是空

可以通过以下步骤还原车祸现场： kafka topic: test_action kafka message: {"action": [{"actionID": "id001", "actionName": "aaa"}, {"actionID": "id002", "actionName": "bbb"} ] }

代码Problem2.java： package com.flink;

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.table.api.EnvironmentSettings; import org.apache.flink.table.api.Table; import org.apache.flink.table.api.java.StreamTableEnvironment; import org.apache.flink.types.Row;

/** * * 在自定义tableFunction的时候，如果SQL中传入的是ARRAY类型， * 那么在eval方法接收到的就是Row[]， * 问题出在，Row[]中的数据获取不到，里面的元素都是NULL * * 现在思路：就是在定义表的时候，把ARRYA看成STRING， * 现在的问题，就是查询出来，都是空 * * kafka topic: test_action * * kafka message: * {"action": [{"actionID": "id001", "actionName": "aaa"}, {"actionID": "id002", "actionName": "bbb"} ] } */ public class Problem2 {

public static void main(String[] args) throws Exception { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); EnvironmentSettings envSettings = EnvironmentSettings.newInstance() .useBlinkPlanner() .inStreamingMode() .build(); StreamTableEnvironment bsEnv = StreamTableEnvironment.create(env, envSettings); bsEnv.registerFunction("explode3", new ExplodeFunction());

String ddlSource = "CREATE TABLE actionTable3 (\n" + " action STRING\n" + ") WITH (\n" + " 'connector.type' = 'kafka',\n" + " 'connector.version' = '0.11',\n" + " 'connector.topic' = 'test_action',\n" + " 'connector.startup-mode' = 'earliest-offset',\n" + " 'connector.properties.zookeeper.connect' = 'localhost:2181',\n" + " 'connector.properties.bootstrap.servers' = 'localhost:9092',\n" + " 'update-mode' = 'append',\n" + " 'format.type' = 'json',\n" + " 'format.derive-schema' = 'false',\n" + " 'format.json-schema' = '{"type": "object", "properties": {"action": {"type": "string"} } }'" + ")"; System.out.println(ddlSource); bsEnv.sqlUpdate(ddlSource);

Table table = bsEnv.sqlQuery("select * from actionTable3"); // Table table = bsEnv.sqlQuery("select * from actionTable2, LATERAL TABLE(explode3(action)) as T(word)"); table.printSchema(); bsEnv.toAppendStream(table, Row.class) .print();// 输出都是空

bsEnv.execute("ARRAY tableFunction Problem"); } }*来自志愿者整理的flink邮件归档