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https://issues.apache.org/jira/browse/BEAM-13335?focusedWorklogId=687569&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-687569
]
ASF GitHub Bot logged work on BEAM-13335:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 29/Nov/21 19:39
Start Date: 29/Nov/21 19:39
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#16066:
URL: https://github.com/apache/beam/pull/16066#discussion_r758678454
##########
File path: sdks/python/apache_beam/dataframe/io.py
##########
@@ -540,10 +540,15 @@ def process(
reader = self.reader
if isinstance(reader, str):
reader = getattr(pd, self.reader)
+ indices_per_file = 10**int(math.log(2**64 // len(path_indices), 10))
+ if readable_file.metadata.size_in_bytes > indices_per_file:
+ raise RuntimeError(
+ f'Cannot safely index records from {len(path_indices)} files '
+ f'of size {readable_file.metadata.size_in_bytes} '
+ f'as their product is greater than 2^63.')
Review comment:
This is a little conservative, couldn't we detect this based on the
number of rows, rather than using byte size as a proxy?
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Issue Time Tracking
-------------------
Worklog Id: (was: 687569)
Time Spent: 1h 10m (was: 1h)
> DataFrame sources produce excessively large index
> -------------------------------------------------
>
> Key: BEAM-13335
> URL: https://issues.apache.org/jira/browse/BEAM-13335
> Project: Beam
> Issue Type: Improvement
> Components: dsl-dataframe
> Reporter: Brian Hulette
> Assignee: Robert Bradshaw
> Priority: P2
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> DataFrame reads attempt to match user expectations by giving every element
> across all
> shards a unique index. This is done by embedding the filepath
> itself in the index, but this results in the (often quite long) path
> being duplicated for every element (sometimes exceeding the size of the
> data itself).
> We should instead generate a guaranteed unique _numeric_ index.
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