loops=1) Group Key: customer_id Extra Text: (seg0) 49765 groups total in 32 batches; 1 overflows; 169919 spill groups. (seg0) Hash chain length 2.0 avg, 16 max, using 42789 of loops=1) Group Key: sales.customer_id Extra Text: (seg0) 49765 groups total in 32 batches; 1 overflows; 218258 spill groups. (seg0) Hash chain length 1.7 avg, 12 max, using 38835 of ANALYZE，可以发现哪些算子会 用到溢出文件，使用了多少内存，需要多少内存。例如： . . . Extra Text: (seg0) 49765 groups total in 32 batches; 1 overflows; 218258 spill groups. . . . * (slice2) Executor memory: 2114K bytes avg x

Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append-optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during determine the sorting order. The command is especially useful for tables that are loaded in small batches. You may combine REPACK BY COLUMNS with most other ALTER TABLE commands that do not require a rewrite

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append-optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append- optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append- optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append- optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append-optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append-optimized storage model can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append-optimized storage model

generated a large number of spill files also generated an excessive number of HashJoin: Too many batches computed log messages by decreasing the severity level of the message. 173680224 - gprecoverseg can be accomplished in a single session during low-use hours, or you can divide the process into batches over an extended period. Each table or partition is unavailable for read or write operations during Denormalized fact tables are typically the largest tables in the system. Fact tables are usually loaded in batches and accessed by read-only queries. Moving large fact tables to an append-optimized storage model