Consolidation causes core dump
See original GitHub issueCode can reproduce:
import numpy as np
import tiledb
dense_array_name = 'test_1d'
ctx = tiledb.Ctx()
dom = tiledb.Domain(tiledb.Dim(ctx=ctx, domain=(0, 11), tile=12, dtype=np.int64), ctx=ctx)
schema = tiledb.ArraySchema(ctx=ctx, domain=dom, sparse=False,
attrs=[tiledb.Attr(ctx=ctx, dtype=np.int64)])
tiledb.DenseArray.create(dense_array_name, schema)
with tiledb.DenseArray(dense_array_name, ctx=ctx, mode='w') as A:
A[:2] = np.arange(2)
A[2:4] = np.arange(2, 4)
A[4:6] = np.arange(4, 6)
A[6:8] = np.arange(6, 8)
A[8:10] = np.arange(8, 10)
A[10:12] = np.arange(10, 12)
tiledb.consolidate(uri=dense_array_name)
I have just updated the tiledb-py version to 0.4.1 via conda. Problem still. My laptop is Macbook pro with Mac OS High Sierra. Python version is 3.7.3.
Issue Analytics
- State:
- Created 4 years ago
- Comments:11 (5 by maintainers)
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Top GitHub Comments
Hi @chineking thanks again for the report and the easy reproduction script. We just merged a fix in core tiledb: https://github.com/TileDB-Inc/TileDB/pull/1213
We are planning to do a point release at the end of this week for TileDB core, and will update the conda and PyPI packages to include the fix. I will leave this issue open until then.
@chineking thanks for the report and repro script. I reproduced in py and c++, and opened an issue in the core TileDB library.