解决Flink sql client执行任务报错：java.lang.IllegalArgumentException: Cannot write delete files in a v1 table

在Flink sql client执行如下数据去重任务报错：java.lang.IllegalArgumentException: Cannot write delete files in a v1 table的解决办法

在Flink sql client执行如下数据去重任务报错：java.lang.IllegalArgumentException: Cannot write delete files in a v1 table

create catalog hadoop_catalog with (
'type'='iceberg'
'catalog-type'='hadoop'
'catalog-name'='hadoop catalog',
'warehouse'='alluxio:xx.xx.xx.xx:19998/iceberg/warehouse/iceberg_db'
'property-version'='2',
'format-version'='2'
);

use catalog hadoop_catalog;

create database if not exists iceberg2iceberg_dwd_db; 
use iceberg2iceberg_dwd_db;

CREATE TABLE if not exists student_deduplication( 
id INT,
name STRING, 
test STRING, 
score INT,
process time TIMESTAMP(3), 
row_num BIGINT,
PRIMARY KEY (id) NOT ENFORCED
);

INSERT INTO hadoop_catalog.iceberg2iceberg_dwd_db.student_deduplication(id, name, test, score, process_time, row_num) 
SELEcT id, name, test, score, process_time, row num 
FROM(
    SELECT id, name, test, score, process time, 
        ROW NUMBER() OVER (PARTITION BY(name, score) ORDER BY process_time DESC) As row_num 
    FROM hadoop_catalog.mysql_kafka2iceberg_db.student_original) 
WHERE row_num=1;

通过在建表时加上如下两条属性信息解决：

'property-version'='2', 
'format-version'='2'

添加过后，可执行的完整sql

create catalog hadoop_catalog with (
'type'='iceberg'
'catalog-type'='hadoop'
'catalog-name'='hadoop catalog',
'warehouse'='alluxio:xx.xx.xx.xx:19998/iceberg/warehouse/iceberg db'
'property-version'='2',
'format-version'='2'
);

use catalog hadoop_catalog;

create database if not exists iceberg2iceberg_dwd_db; 
use iceberq2iceberg dwd_db;

CREATE TABLE if not exists student_deduplication( 
id INT,
name STRING, 
test STRING, 
score INT,
process time TIMESTAMP(3), 
row_num BIGINT,
PRIMARY KEY (id) NOT ENFORCED
)WITH (
'property-version'='2', 
'format-version'='2'
);

INSERT INTO hadoop_catalog.iceberg2iceberg_dwd_db.student_deduplication(id, name, test, score, process_time, row_num) 
SELEcT id, name, test, score, process_time, row_num 
FROM(
    SELECT id, name, test, score, process time, 
        ROW NUMBER() OVER (PARTITION BY(name, score) ORDER BY process_time DESC) As row_num 
    FROM hadoop_catalog.mysql_kafka2iceberg_db.student_original) 
WHERE row_num=1;