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select distinct tags['type'] as type
from iceberg.atlas
where
name = 'metric-name' and
date > 20180222 and date <= 20180228
order by type;
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date=20180513/
|- hour=18/
| |- ...
|- hour=19/
| |- 000000_0
| |- ...
| |- 000031_0
|- hour=20/
| |- ...
|- ...
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SELECT ... WHERE date = '20180513' AND hour = 19
date=20180513/
|- hour=18/
| |- ...
|- hour=19/
| |- 000000_0
| |- ...
| |- 000031_0
|- hour=20/
| |- ...
|- ...
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date=20180513/
|- hour=19/
| |- base_0000000/
| | |- bucket_00000
| | |- ...
| | |- bucket_00031
| |- delta_0000001_0000100/
| | |- bucket_00000
| | |- ...
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○ null __HIVE_DEFAULT_PARTITION__
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○ ts > X ⇒
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ts > X and (d > day(X) or (d = day(X) and hr >= hour(X))
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S1 S2 S3 ...
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S1 S2 S3 ...
R W
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v1.json
S1 S2
v2.json
S1 S2 S3
v3.json
S2 S3
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v2.json
S1 S2 S3
m0.avro m1.avro m2.avro
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○ file1.avro file2.avro
○ merge1.parquet
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○ file1.avro file2.avro
○
file1.avro file2.avro
merge1.parquet
● file1.avro file2.avro
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○ O(1) O(n)
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Analyze Iceberg data formats and partitioning

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Analyze Iceberg data formats and partitioning