Hi,
当前还不支持 Row[] 作为参数。目前有一个 issue 在解决这个问题，可以关注下。
https://issues.apache.org/jira/browse/FLINK-17855
Best,
Jark
On Mon, 6 Jul 2020 at 10:19, Jim Chen <chenshuai19950...@gmail.com> wrote:
> 大家好：
> 我的业务场景，是想实现一个行转列的效果。然后通过自定义tableFunction来实现。
> 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
>
> 通过下面的步骤和代码可还原车祸场景：
> kafka topic: test_action
> kafka message:
> {"action": [{"actionID": "id001", "actionName": "aaa"}, {"actionID":
> "id002", "actionName": "bbb"} ] }
>
> 代码1：Problem.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
> *
> * kafka topic: test_action
> *
> * kafka message:
> * {"action": [{"actionID": "id001", "actionName": "aaa"}, {"actionID":
> "id002", "actionName": "bbb"} ] }
> */
> public class Problem {
>
> 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("explode2", new ExplodeFunction());
>
> String ddlSource = "CREATE TABLE actionTable (\n" +
> " action ARRAY<\n" +
> " ROW<" +
> " actionID STRING,\n" +
> " actionName STRING\n" +
> " >\n" +
> " >\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" +
> ")";
> bsEnv.sqlUpdate(ddlSource);
>
> // Table table = bsEnv.sqlQuery("select `action` from actionTable");
> Table table = bsEnv.sqlQuery("select * from actionTable, LATERAL
> TABLE(explode2(`action`)) as T(`word`)");
> table.printSchema();
> bsEnv.toAppendStream(table, Row.class)
> .print("==tb==");
>
>
> bsEnv.execute("ARRAY tableFunction Problem");
> }
> }
>
> 代码2：ExplodeFunction.java
> package com.flink;
>
> import org.apache.flink.table.functions.TableFunction;
> import org.apache.flink.types.Row;
>
> import java.util.ArrayList;
> import java.util.Arrays;
>
> public class ExplodeFunction extends TableFunction<Row> {
>
> public void eval(Row[] values) {
> System.out.println(values.length);
> if (values.length > 0) {
> for (Row row : values) {
> if (row != null) {// 这里debug出来的row总是空
> ArrayList<Object> list = new ArrayList<>();
> for (int i = 0; i < row.getArity(); i++) {
> Object field = row.getField(i);
> list.add(field);
> }
>
> collector.collect(Row.of(Arrays.toString(list.toArray())));
> }
> }
> }
> }
> }
>
> 最后贴个debug的图
> [image: image.png]
>
