![]() # ead stream and output results to console Insert ( id, name, ts, dt, hh ) values ( source. When matched and flag = 'delete' then delete Select id, name, '1000' as ts, flag, dt, hh from merge_source2 source table using parquet for testing merging into partitioned tableĬreate table merge_source2 ( id int, name string, flag string, dt string, hh string ) using parquet Tblproperties ( primaryKey = 'id', preCombineField = 'ts' ) source table using hudi for testing merging into non-partitioned tableĬreate table merge_source ( id int, name string, price double, ts bigint ) using hudi Generate updates to existing trips using the data generator, load into a DataFrame Select * from hudi_cow_pt_tbl timestamp as of '' where id = 1 Select * from hudi_cow_pt_tbl timestamp as of ' 09:16:28.100' where id = 1 time travel based on different timestamp formats time travel based on first commit time, assume `20220307091628793` To set any custom hudi config(like index type, max parquet size, etc), see the "Set hudi config section". type = 'cow' means a COPY-ON-WRITE table, while type = 'mor' means a MERGE-ON-READ table. ![]() The primary key names of the table, multiple fields separated by commas. Users can set table properties while creating a hudi table. Partitioned by ( datestr ) as select * from parquet_mngd You can read more about external vs managedĬreate table parquet_mngd using parquet location 'file:///tmp/parquet_dataset/*.parquet' Ĭreate table hudi_ctas_cow_pt_tbl2 using hudi location 'file:/tmp/hudi/hudi_tbl/' options ( Location statement or use create external table to create table explicitly, it is an external table, else itsĬonsidered a managed table. In general, Spark SQL supports two kinds of tables, namely managed and external. No partitioned by statement with create table command, table is considered to be a non-partitioned table. ![]() To use partitioned by statement to specify the partition columns to create a partitioned table. ![]() Users can create a partitioned table or a non-partitioned table in Spark SQL. While creating the table, table type can be specified using type option: type = 'cow' or type = 'mor'. Spark SQL needs an explicit create table command.īoth Hudi's table types, Copy-On-Write (COW) and Merge-On-Read (MOR), can be created using Spark SQL. ![]()
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