Comments (9)
Write performance is as expected
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Cloud run 16GB 8vCPU
{
"FilesMerged": 3,
"PartitionsMerged": null,
"PostMergeBytes": 348283,
"RowsMerged": 981,
"TimeMS": 2521
}
My laptop
{
"FilesMerged": 3,
"RowsMerged": 981,
"PostMergeBytes": 348282,
"TimeMS": 889,
"PartitionsMerged": null
}
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Seems like cloud run networking is just terrible to GCS
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WELL THEN southamerica-east1
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MUCH BETTER
{
"FilesMerged": 3,
"PartitionsMerged": null,
"PostMergeBytes": 348304,
"RowsMerged": 981,
"TimeMS": 282
}
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performance is still not amazing but it's acceptable
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{
"FilesMerged": 3,
"PartitionsMerged": null,
"PostMergeBytes": 75198664,
"RowsMerged": 206010,
"TimeMS": 19258
}
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much of it is probably both the upload and all of the processing for the many columns
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Related Issues (20)
- Example using datafusion
- Pyarrow tables instead of dataframe HOT 2
- Example of SQL-defined materialized views HOT 2
- Remove `format_row` function? Or make it optional? HOT 1
- Partition removal (TTS support)
- Rewrite partition method
- Partition removal example HOT 1
- Partition rewrite example
- Rewrite partition concurrency
- Performance test (against BQ) HOT 1
- Concurrent data uploads HOT 3
- Optimize partition calculation and row id generation HOT 1
- Remove `_row_id` enforcement? HOT 1
- On-disk support (network fs) HOT 4
- Concurrent log file download
- Google Cloud Storage HOT 1
- Existing Parquet data HOT 1
- Avro insert support HOT 3
- Upgrade duckdb version
- Separation of log and data
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