1.Data from the hive table is read to the paimon table
2.The hive table data totals 3.8 million
3.The paimon table is partitioned according to create_time and contains data within three years. If data needs to be written to the paimon table successfully, set the memory size to 8 GB. In the same scenario, only 1.5 GB memory needs to be allocated for hive table writing
4.If the paimon table increases the number of buckets, more memory resources will be required.
5.The EXCLUSIVE lock is added when hive writes the paimon table. As a result, any query is blocked.
What doesn't meet your expectations?
Reduce resource usage
Check whether hive writes data to the paimon table without blocking the paimon table query.
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Paimon version
The paimon hive-connector version ispaimon-hive-connector-2.1-cdh-6.3-0.5-20230520.001837-16.jar
Compute Engine
hive-2.1.1-cdh-6.3.2
Minimal reproduce step
1.Data from the hive table is read to the paimon table 2.The hive table data totals 3.8 million 3.The paimon table is partitioned according to create_time and contains data within three years. If data needs to be written to the paimon table successfully, set the memory size to 8 GB. In the same scenario, only 1.5 GB memory needs to be allocated for hive table writing 4.If the paimon table increases the number of buckets, more memory resources will be required. 5.The EXCLUSIVE lock is added when hive writes the paimon table. As a result, any query is blocked.
What doesn't meet your expectations?
Anything else?
No response
Are you willing to submit a PR?