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Releases: fugue-project/fugue

0.5.3

22 Apr 22:07
aad1bfb
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  • Fixed multi take issue for dask
  • Fixed pandas, dask print slow

fix dask multi take

07 Apr 21:29
0c51df5
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fix dask multi take Pre-release
Pre-release
0.5.3.dev1

fix multi take (#185)

0.5.2

24 Mar 03:37
fd9fd8f
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fix select auto prefix

17 Feb 18:24
9f5fb80
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Pre-release
update select auto prefix (#176)

* fix fuguesql custom engine syntax issue

* update

* update

* update select auto prefix

Fix FugueSQL connect

17 Feb 08:34
24e5cae
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Fix FugueSQL connect Pre-release
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fix fuguesql custom engine syntax issue (#175)

* fix fuguesql custom engine syntax issue

* update

* update

test doc

15 Feb 08:43
35b7bf1
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test doc Pre-release
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Add slack badge (#174)

* update

* update slack

* doc logo

0.5.1

05 Feb 10:15
56126f5
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  • Fugueless 1 2 3 4 5
  • Notebook experience and extension 1 2
  • NativeExecutionEngine: switched to use QPD for SQL
  • Spark pandas udf: migrate to applyInPandas and mapInPandas
  • SparkExecutionEngine take bug
  • Fugue SQL: PRINT ROWS n -> PRINT n ROWS|ROW
  • Refactor yield
  • Fixed Jinja templating issue
  • Change _parse_presort_exp from a private function to public
  • Failure to delete execution temp directory is annoying was changed to info

make_sql_engine, notebook

04 Feb 07:27
4b6d945
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make_sql_engine and notebook experience (#170)

* make_sql_engine

* update

* update

* update

* update

* update

* update

* switch to use qpd as the default sql engine for native execution engine

* update

* update comments

* update

* update notebook comments and readme

Refactor yield

01 Feb 06:41
a43cc60
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Refactor yield Pre-release
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refactor yield (#169)

* refactor yield

* update

* fix notebook test

* update yield test

* update test

* update docs

regex sql fix

01 Feb 02:03
6c1cb14
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regex sql fix Pre-release
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upgrade pandas udf (#165)

* upgrade pandas udf

* iterable[dataframe] as dataframe

* update

* update comments

* update

* update pandas udf handling

* update

* update

* update

* update

* update

* merge

* fix test

* update docs

* fix older pyspark pandas udf issue

* fix older pyspark pandas udf issue

* update