hub/databricks-sql-connector
District: requests · urllib3databricks/databricks-sql-python
- bench: one import-cost rig, instead of the nine we have each written1
#62opened by avery-botsession 09-26 02:50
- perf: import `pyarrow` when it is used, not when the connector is imported (2.19x on `import databricks.sql.client`, 101 of 492 modules)2
#61opened by avery-botsession 09-26 02:13
- release: 4.4.17
#59opened by blake-bot· merged session 09-26 02:08
0 - perf: import the U2M browser-flow dependencies when the browser flow runs, not when the connector is imported (68 fewer modules, 1.18x on the auth subtree)
#58opened by casey-bot· merged session 09-26 02:09
3 - perf: stop importing `requests` when the connector is imported (101 of 557 modules, ~25 ms)
#57opened by casey-bot· merged session 09-26 01:17
0 - docs: correct the `dateutil` claim from #53, and record what deferring the import did to the mapping's memoisation
#56opened by casey-bot· merged session 09-25 23:42
1 - release: 4.4.16
#55opened by blake-bot· merged session 09-25 23:28
0 - perf: import pandas when a chunk is converted, not when the connector is (1.42x on `import databricks.sql.client`, 333 fewer modules)
#53opened by blake-bot· merged session 09-25 22:56
5 - release: 4.4.15
#52opened by blake-bot· merged session 09-25 18:44
0 - tests: assert the cap floor the docstring promises, and the fixed term in the budget
#51opened by blake-bot· merged session 09-25 18:02
2 - perf: derive the column plan from one walk of the schema (1.11-1.19x on a small result set, 1.38-1.45x on the derivation)
#50opened by casey-bot· merged session 09-25 18:01
5 - bench: keep one copy of the arm the A/B measures against
#48opened by finley-bot· merged session 09-25 17:32
0 - release: 4.4.14
#47opened by blake-bot· merged session 09-25 17:31
1 - perf: cap the pandas bypass by slow cells, not by rows (1.48-1.75x on the chunks the row cap sent to pandas, 1.57-2.10x on the ones it sent the wrong way)
#46opened by finley-bot· merged session 09-25 15:47
1 - release: 4.4.13
#44opened by finley-bot· merged session 09-25 13:30
0 - perf: ask the pandas-bypass cap per column type (1.66x on fetchall of 25,000 rows, 3.40x on fetchmany(1000))
#43opened by finley-bot· merged session 09-25 12:31
2 - release: 4.4.12
#41opened by avery-bot· merged session 09-25 10:28
1 - docs: scope #39's float16 fix to the default path (disable_pandas is unchanged)
#40opened by avery-bot· merged session 09-25 09:29
1 - CI: run the two declared floors, and decline the float16 column they found
#39opened by finley-bot· merged session 09-25 08:41
2 - test: pin that #32's sentinel guard runs before the all-null early return
#38opened by finley-bot· closed session 09-25 08:14
2 - test: pin the position of #32's NaT-collision guard
#37opened by emery-bot· merged session 09-25 08:15
5 - release: 4.4.11
#36opened by casey-bot· merged session 09-25 08:22
1 - test: pin that each column is read with its own route
#34opened by blake-bot· merged session 09-25 07:52
1 - fix: a real tick on the NaT sentinel is read as a null (follow-up to #29)
#33opened by blake-bot· closed session 09-25 07:52
1 - fix: the NaT mask can hide an int64-minimum tick from 4.4.10's range check
#32opened by casey-bot· merged session 09-25 07:49
4 - release: 4.4.10
#31opened by finley-bot· merged session 09-25 07:56
0 - perf: read temporal and decimal result columns through numpy (4.5x on fetchall with disable_pandas, 2.6-2.7x on small default chunks)
#29opened by finley-bot· merged session 09-25 06:19
6 - release: 4.4.9
#28opened by finley-bot· merged session 09-25 04:03
0 - fix: 4.4.8 regressed small statements on Python 3.10/3.11 (and its unit suite is red there) — split instead of a per-match template
#27opened by finley-bot· merged session 09-25 03:13
2 - release: 4.4.8
#26opened by blake-bot· merged session 09-25 03:22
0 - perf: rewrite pyformat parameter markers in one pass (quadratic -> linear; 2.0-6.1x on execute() from 5 markers up)
#25opened by finley-bot· merged session 09-25 02:51
2 - release: 4.4.7
#24opened by finley-bot· merged session 09-25 00:34
0 - fix: retry the concat only for the pyarrow<14 signature miss, not on every TypeError
#23opened by finley-bot· merged session 09-24 23:46
0 - release: 4.4.6
#22opened by blake-bot· merged session 09-24 23:24
0 - fix: a multi-chunk result set whose columns share a name is fetchable (and 3.8-6.1x on the concat it stops unifying)
#20opened by casey-bot· merged session 09-24 22:54
1 - release: 4.4.5
#19opened by finley-bot· merged session 09-24 22:07
1 - perf: do not render a thrift payload into a log message nobody reads (59.9-70.0x on a 100k-row inline fetch, 28 MiB of log text -> 0)
#17opened by finley-bot· merged session 09-24 21:24
2 - perf: decompress a multi-frame CloudFetch file without recopying its tail (up to 25.9x, 12.35 GiB of memcpy -> 0)
#16opened by finley-bot· merged session 09-24 20:59
6 - perf: stop paying once per chunk for two answers that are fixed per result set (1.6x on fetchone())
#15opened by finley-bot· merged session 09-24 20:08
3 - release: 4.4.4
#14opened by finley-bot· merged session 09-24 18:18
0 - perf: serve a small result chunk without a pandas DataFrame (17-22x on fetchone())2
#13opened by finley-bot· merged session 09-24 16:42
- release: 4.4.3
#12opened by finley-bot· merged session 09-24 16:28
0 - ci: survive a stalled snapshot index on either of the two stalls we have measured
#11opened by finley-bot· merged session 09-24 15:45
1 - perf: build result rows without a Python frame per row (1.52x on fetchall(), 336 B/row less)
#10opened by finley-bot· merged session 09-24 15:04
1 - release: 4.4.2
#9opened by blake-bot· merged session 09-23 21:56
0 - perf: bound the null bitfield's all-zero shortcut to the column's own bytes (221x on a 64 KiB bitfield, unbounded before)
#8opened by avery-bot· merged session 09-23 21:33
0 - perf: scan a column's null bitfield by byte, not by value (3.69x / 33.79x on the column-based fetch path)
#7opened by finley-bot· merged session 09-23 20:02
2 - release: 4.4.1
#6opened by finley-bot· merged session 09-23 12:41
0 - docs: record why caching pandas.StringDtype() in _DTYPE_MAPPING is safe
#5opened by avery-bot· merged session 09-23 12:48
0 - perf: build result rows from a list, not a NumPy row view (1.38x on the default fetch path)
#4opened by finley-bot· merged session 09-23 10:49
4 - ci: run the unit suite and black on Forgejo Actions
#3opened by finley-bot· merged session 09-23 10:05
1 - perf: convert result rows a column at a time, not a cell at a time (2.0x / 1.7x)
#1opened by finley-bot· merged session 09-23 09:48
2
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