xyk0930 commented on issue #4790:
URL: https://github.com/apache/paimon/issues/4790#issuecomment-2563379141

   1.create a paimon table
   CREATE TABLE paimon_default.default_array_test
   (
       id   INT COMMENT '唯一标识',
       name STRING COMMENT '姓名',
       tags ARRAY<STRING> COMMENT '标签'
   )
   USING paimon
   COMMENT '数组test'
   TBLPROPERTIES (
     'bucket' = '-1',
     'changelog-producer' = 'none',
     'deletion-vectors.enabled' = 'false',
     'dynamic-bucket.initial-buckets' = '10',
     'dynamic-bucket.target-row-num' = '2000000',
     'file.compression' = 'zstd',
     'file.compression.zstd-level' = '1',
     'file.format' = 'parquet',
     'full-compaction.delta-commits' = '1',
     'ignore-delete' = 'false',
     'merge-engine' = 'deduplicate',
     'path' = 
'hdfs://hadoop105:8020/paimon/warehouse/paimon_default.db/default_array_test',
     'primary-key' = 'id',
     'snapshot.expire.limit' = '10',
     'snapshot.num-retained.max' = '10',
     'snapshot.num-retained.min' = '3',
     'snapshot.time-retained' = '1 h',
     'tag.num-retained-max' = '7')
   ;
   2.use spark write data into paimon table
   public class PaimonArrayTest {
   
       public static void main(String[] args) {
           // 初始化 SparkSession 并启用 Hive 支持
           SparkSession spark = SparkSession.builder()
                   .appName("Spark Paimon Example")
                   .config("spark.sql.catalog.spark_catalog", 
"org.apache.paimon.spark.SparkGenericCatalog")
                   .config("spark.sql.extensions", 
"org.apache.paimon.spark.extensions.PaimonSparkSessionExtensions")
                   .enableHiveSupport()
                   .getOrCreate();
   
           // 定义 Schema
           StructType schema = new StructType(new StructField[]{
                   DataTypes.createStructField("id", DataTypes.IntegerType, 
false),
                   DataTypes.createStructField("name", DataTypes.StringType, 
false),
                   DataTypes.createStructField("tags", 
DataTypes.createArrayType(DataTypes.StringType), false)
           });
   
           // 创建一些数据行
           List<Row> data = Arrays.asList(
                   RowFactory.create(1, "Alice", Arrays.asList("Java", 
"Scala")),
                   RowFactory.create(2, "Bob", Arrays.asList("Python", "R")),
                   RowFactory.create(3, "Charlie", new ArrayList<>())
           );
   
           // 创建 DataFrame
           Dataset<Row> df = spark.createDataFrame(data, schema);
   
           // 显示 DataFrame 内容
           df.show();
   
           // 将 DataFrame 写入 paimon 表
           
df.write().mode(SaveMode.Overwrite).format("paimon").save("hdfs://hadoop105:8020/paimon/warehouse/paimon_default.db/default_array_test");
 // 替换为实际的数据库和表名
   
           spark.table("paimon_default.default_array_test").show();
           // 关闭 SparkSession
           spark.stop();
       }
   }
   3.driver stdout
   
![image](https://github.com/user-attachments/assets/ae72e6b8-73c4-4b44-b4aa-60fa8e27e0a3)
   @Aiden-Dong this is a sample test
   


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