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create table t_large_ckpt_with_pk (k bigint, v varchar, primary key(k)) with (
connector = 'datagen',
fields.v.length = 100000,
datagen.rows.per.second='100000',
datagen.split.num = '24',
fields.k.kind = 'random',
fields.k.min = 1,
fields.k.max = 50000000,
);
create materialized view mv_large_ckpt_with_pk as select * from t_large_ckpt_with_pk;
checkpoint_frequency = 60
The metrics show that the actual data written to the mv is less than 10% of the data written to the table, which means that there are a lot of duplicates in the generated pk(k), and the duplicates are cleaned up in the shared buffer compact phase.
Test case 1:
checkpoint_frequency = 60
The metrics show that the actual data written to the mv is less than 10% of the data written to the table, which means that there are a lot of duplicates in the generated pk(k), and the duplicates are cleaned up in the shared buffer compact phase.
Test case2 :
test by @tabVersion
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