admin管理员组

文章数量:1434380

I wrote a DataFrame into a Delta table (e.g., demo_table) using the overwrite mode, which involves dropping the table beforehand. After the write operation was successful, I executed the OPTIMIZE command on the table. However, the OPTIMIZE operation took nearly an hour to complete. How can I improve this process?

Note : The table is in a partitioned format. Command : OPTIMIZE schema.demo_table ZORDER BY (custom_id,sales_date) Note : custom_id : Generated new columns , when we create final df final record count would be 3 million records. Not a wider table. Schema have basic data types . integer,string. there is no complex data types. Observation : when i use existing column in Zorder , it executed within 5 min.

本文标签： apache sparkDatabricks OptimizeZorder command is taking too longStack Overflow

版权声明：本文标题：apache spark - Databricks Optimize - Zorder command is taking too long - Stack Overflow 内容由网友自发贡献，该文观点仅代表作者本人， 转载请联系作者并注明出处：http://www.betaflare.com/web/1745614734a2666328.html， 本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容，一经查实，本站将立刻删除。