区别：
- FlinkSQL 的 insert 语句可只操作部分字段，而 SparkSQL 必须指定所有字段：
spark-sql> create table t11 (
> ds BIGINT,
> ts BIGINT,
> pk BIGINT,
> f0 BIGINT,
> f1 BIGINT,
> f2 BIGINT,
> f3 BIGINT,
> f4 BIGINT
> ) using hudi
> partitioned by (ds)
> tblproperties ( -- 这里也可使用 options （https://hudi.apache.org/docs/table_management）
> type = 'mor',
> primaryKey = 'pk',
> preCombineField = 'ts',
> hoodie.bucket.index.num.buckets = '2',
> hoodie.index.type = 'BUCKET',
> hoodie.compaction.payload.class = 'org.apache.hudi.common.model.OverwriteNonDefaultsWithLatestAvroPayload',
> hoodie.datasource.write.payload.class = 'org.apache.hudi.common.model.OverwriteNonDefaultsWithLatestAvroPayload'
> );
Time taken: 1.382 seconds
spark-sql> insert into t11 (ds,ts,pk,f0) values (20230101,CAST(CURRENT_TIMESTAMP AS BIGINT),1006,1);
Error in query: Cannot write to 'default.t11', not enough data columns:
Table columns: 'ts', 'pk', 'f0', 'f1', 'f2', 'f3', 'f4', 'ds'
Data columns: 'col1', 'col2', 'col3', 'col4'