In our Parquet file analysis, the __sequence field occupies a disproportionate amount of file size, accounting for approximately 67% of the total size. This results in inefficient storage usage and potential performance bottlenecks.
File:9bc23ce8-7046-4ff8-a209-1245827a7a89.parquet
Column Name
Size (Bytes)
Size (Ratio)
__op_type
54,825
0.00016 (0.016%)
greptime_value
39,894,514
0.117 (11.75%)
__sequence
228,302,552
0.672 (67.23%)
__primary_key
18,000,415
0.053 (5.30%)
greptime_timestamp
53,318,216
0.157 (15.70%)
The __sequence field clearly dominates the file size, overshadowing other important columns such as greptime_value and greptime_timestamp.
What type of enhancement is this?
Refactor
What does the enhancement do?
In our Parquet file analysis, the
__sequencefield occupies a disproportionate amount of file size, accounting for approximately 67% of the total size. This results in inefficient storage usage and potential performance bottlenecks.File:
9bc23ce8-7046-4ff8-a209-1245827a7a89.parquet__op_typegreptime_value__sequence__primary_keygreptime_timestampThe
__sequencefield clearly dominates the file size, overshadowing other important columns such asgreptime_valueandgreptime_timestamp.Implementation challenges
No response