。这样就可以并⾏的加载⽂件中的数据。 使⽤⽅法请参考我们的⽂档：外部表并⾏加载数据到udw 5.4 从 从hdfs加载数据 加载数据 为了⽅便 udw 和 hdfs 之间的数据导⼊和导出，我们提供个两种⽅案； 1. ⽤ sqoop 实现 hdfs 和 udw 直接的数据导⼊导出，使⽤⽅法请参 0 码力 |
206 页 |
5.35 MB
| 1 年前 3
Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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19.73 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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20.05 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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17.62 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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1988 页 |
20.25 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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18.05 MB
| 1 年前 3
Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Coordinator performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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14.19 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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33.54 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. Google
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44.90 MB
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Memory vCPUs Data Disks r5.xlarge 32 4 1 r5.2xlarge 64 8 1 r5.4xlarge 128 16 1 Segments Instance Type Memory vCPUs Data Disks r5.4xlarge 128 16 3 Performance testing has indicated that the Master performance. Testing was performed using the TPC-DS benchmark. The Segment instances run optimally on the r5.4xlarge instance type. This provides the highest performance given the cost of the AWS resources. VMware
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Greenplum数据仓库UDW - UCloud中立云计算服务商INSERT INTO