clickhouse-connect

ClickHouse Database Core Driver for Python, Pandas, and Superset

These details have not been verified by PyPI

Project links

Homepage

Project description

ClickHouse Connect

A high performance core database driver for connecting ClickHouse to Python, Pandas, and Superset

Pandas DataFrames
Numpy Arrays
PyArrow Tables
Superset Connector
SQLAlchemy 1.3 and 1.4 (limited feature set)

ClickHouse Connect currently uses the ClickHouse HTTP interface for maximum compatibility.

Installation

pip install clickhouse-connect

ClickHouse Connect requires Python 3.8 or higher.

Superset Connectivity

ClickHouse Connect is fully integrated with Apache Superset. Previous versions of ClickHouse Connect utilized a dynamically loaded Superset Engine Spec, but as of Superset v2.1.0 the engine spec was incorporated into the main Apache Superset project and removed from clickhouse-connect in v0.6.0. If you have issues connecting to earlier versions of Superset, please use clickhouse-connect v0.5.25.

When creating a Superset Data Source, either use the provided connection dialog, or a SqlAlchemy DSN in the form clickhousedb://{username}:{password}@{host}:{port}.

SQLAlchemy Implementation

ClickHouse Connect incorporates a minimal SQLAlchemy implementation (without any ORM features) for compatibility with Superset. It has only been tested against SQLAlchemy versions 1.3.x and 1.4.x, and is unlikely to work with more complex SQLAlchemy applications.

Asyncio Support

ClickHouse Connect provides an async wrapper, so that it is possible to use the client in an asyncio environment. See the run_async example for more details.

Complete Documentation

The documentation for ClickHouse Connect has moved to ClickHouse Docs

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

This version

0.8.6

Nov 1, 2024

0.8.5

Oct 24, 2024

0.8.4

Oct 23, 2024

0.8.3

Oct 8, 2024

0.8.2

Oct 4, 2024

0.8.1

Sep 29, 2024

0.8.0

Sep 26, 2024

0.7.19

Aug 21, 2024

0.7.18

Jul 30, 2024

0.7.17

Jul 24, 2024

0.7.16

Jul 8, 2024

0.7.15

Jul 1, 2024

0.7.14

Jun 24, 2024

0.7.13

Jun 24, 2024

0.7.12

Jun 4, 2024

0.7.11

May 26, 2024

0.7.10

May 22, 2024

0.7.9

May 21, 2024

0.7.8

Apr 14, 2024

0.7.7

Apr 3, 2024

0.7.6

Apr 2, 2024

0.7.5

Mar 28, 2024

0.7.4

Mar 24, 2024

0.7.3

Mar 14, 2024

0.7.2

Mar 8, 2024

0.7.1

Feb 28, 2024

0.7.0

Jan 22, 2024

0.6.23

Dec 15, 2023

0.6.22

Dec 1, 2023

0.6.21

Nov 23, 2023

0.6.20

Nov 9, 2023

0.6.19

Nov 7, 2023

0.6.18

Oct 26, 2023

0.6.17

Oct 21, 2023

0.6.16

Oct 18, 2023

0.6.15

Oct 17, 2023

0.6.14

Sep 22, 2023

0.6.13

Sep 20, 2023

0.6.12

Sep 16, 2023

0.6.11

Aug 30, 2023

0.6.10

Aug 27, 2023

0.6.9

Aug 22, 2023

0.6.8

Jul 18, 2023

0.6.7

Jul 18, 2023

0.6.6

Jul 7, 2023

0.6.5

Jul 6, 2023

0.6.4

Jun 22, 2023

0.6.3

Jun 16, 2023

0.6.2

Jun 10, 2023

0.6.1

Jun 6, 2023

0.6.0

Jun 6, 2023

0.5.25

May 23, 2023

0.5.24

May 11, 2023

0.5.23

May 3, 2023

0.5.22

Apr 28, 2023

0.5.21

Apr 26, 2023

0.5.20

Apr 6, 2023

0.5.19

Apr 5, 2023

0.5.18

Mar 30, 2023

0.5.17

Mar 27, 2023

0.5.16

Mar 15, 2023

0.5.15

Mar 10, 2023

0.5.14

Mar 2, 2023

0.5.13

Feb 27, 2023

0.5.12

Feb 16, 2023

0.5.11

Feb 15, 2023

0.5.10

Feb 13, 2023

0.5.9

Feb 11, 2023

0.5.8

Feb 10, 2023

0.5.7

Feb 4, 2023

0.5.6

Feb 3, 2023

0.5.5

Feb 1, 2023

0.5.4 yanked

Feb 1, 2023

Reason this release was yanked:

LowCardinality numpy/pandas broken

0.5.3

Jan 23, 2023

0.5.2

Jan 17, 2023

0.5.1

Jan 16, 2023

0.5.0

Jan 14, 2023

0.4.8

Jan 2, 2023

0.4.7

Dec 5, 2022

0.4.6

Nov 29, 2022

0.4.5 yanked

Nov 24, 2022

Reason this release was yanked:

readonly settings is really boken

0.4.4 yanked

Nov 22, 2022

Reason this release was yanked:

readonly settings is really broken

0.4.3

Nov 22, 2022

0.4.2

Nov 22, 2022

0.4.1

Nov 14, 2022

0.4.0

Nov 7, 2022

0.3.8

Nov 4, 2022

0.3.6

Nov 2, 2022

0.3.5

Oct 28, 2022

0.3.4

Oct 27, 2022

0.3.3

Oct 21, 2022

0.3.2

Oct 20, 2022

0.3.1

Oct 19, 2022

0.3.0

Oct 15, 2022

0.2.10

Sep 28, 2022

0.2.9

Sep 25, 2022

0.2.8

Sep 21, 2022

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SHA256	`6c77ebe047703bb058601d0644e8fd3069fae10e7d2a21c5cb6ff02baca7254c`
MD5	`2f52b6e77dbd3c2dc97a169cf76d7043`
BLAKE2b-256	`ce95ee2b515a879db87163aef17728bf7f9c10fe92cbc9666f39d682789fe2d1`

Algorithm	Hash digest
SHA256	`80e90b7852972b55e4928f0aabc203aba1cd9e6c45305f1ea5e5aafa0c13c38a`
MD5	`fc33cb3587c47bb7b7c3edc1c19e96e5`
BLAKE2b-256	`0415202ba86805bae5de2cbf8a490f1c5bae10478e992c5584ca2539a13482dc`

Algorithm	Hash digest
SHA256	`55068ec6adbc1ed6492e24d058086cda924038fe1c912aad9137205e89ce43fb`
MD5	`bafac527a90cb8e517e0a0473378a3d8`
BLAKE2b-256	`7777687f55717f724cd8dab67cf7d2322c78d075680b8df34b4d423cdea43963`

Algorithm	Hash digest
SHA256	`ac34c2722082f52aaba8b5b9ed21b2e9d019e7d4495324ddf688f54b0556d9b2`
MD5	`d09e5988c886ad51aa9353865211f7a6`
BLAKE2b-256	`d4c203a94a62b83ab8e0e0476f9889aeb6e77e55cf032ef8b983e4045b8dcd37`

Algorithm	Hash digest
SHA256	`1877b7233b5aba21232d8d89a73db76de465e30583ef6a85e8238173b793b337`
MD5	`13a620ae6ba7f5b038598cf33c74a6d2`
BLAKE2b-256	`311363affea9f2905f3030b63689dab140eaa817223b0038ca019faf6d0ea77c`

Algorithm	Hash digest
SHA256	`4c1cb78659da6f67c7ee6d0ab82e97e31830af928e48dbe5864dbd507d90a9d3`
MD5	`579feda5df4b8de5b6b3f676b6ace826`
BLAKE2b-256	`bbd486b28bb1081f571118000d2dc6941e4c8e656bdfa30c14247677a15abe40`

Algorithm	Hash digest
SHA256	`56b43c6c9983975fd65ccd4ca57f5c85f0a24ccd93004bbfa7b7a59dfda1920f`
MD5	`26c13e50bf3f601775d56c283b0afe36`
BLAKE2b-256	`670aeead572059f2494b9bb0a51c90c993cf3c85cce9789741752a9dfa5ef8db`

Algorithm	Hash digest
SHA256	`14647de8e44cc03df6b9a87df6189101a792dba7ea5c96602310df15f00700c7`
MD5	`5ac7f4e7974d8605ef378680a2154a2c`
BLAKE2b-256	`ac05a83d8abc43d69f63f5992c50176d262c6795c1b5fcb2d3a14afdee0ed58f`

Algorithm	Hash digest
SHA256	`f485f743e12202b3b9711031b59707b1476ad42b0fba9ceed200bdd196e68532`
MD5	`43efa4cfb49a90c13b77665a0ddd6ed7`
BLAKE2b-256	`f5e02d3d48cc7da8b7b588ea590ac33daf04922f75c26e9a81a8cd437ff7295a`

Algorithm	Hash digest
SHA256	`72e8d4b0c809ecde6a49ed9d58f662fe27d0171de51bb899ed0b3d13460695f0`
MD5	`2a78ba28b0b333253318131f6194d132`
BLAKE2b-256	`dcd60591b95730aee74d8e30105ec55b2511d33fdc3cef1511a1415945d01ea8`

Algorithm	Hash digest
SHA256	`388a2583f167fd7efd68be5e464e1e956f9a02a88f4d77e60f33a427e9d4230e`
MD5	`1ed5b0bcaa056eae992ef759bc5030e8`
BLAKE2b-256	`f0382a22414ad8df7dd02fd07914e10a4f36f87ce3f5f2268cccc22c6f317799`

Algorithm	Hash digest
SHA256	`a732d2de064046f4a935ef5b6e7feb9bb7eca7d8a654031389404f46db174445`
MD5	`b5b453c83ae1cc6f688660218fee156f`
BLAKE2b-256	`b22dd04f894c1a673af4cbdec7a2ce94d47835de7493311511f8fc6fabbebeb9`

Algorithm	Hash digest
SHA256	`9d4c6ebd0ee08a552307bfc7590430014a19fabac8e6f08658643351bd68c4e3`
MD5	`97ab1a140f2b682f9a72abd216d73aff`
BLAKE2b-256	`f8244e82d77ae5e1981078cd6fe9dfb7bf4a8ca5481e742f4a933b09a8f2e414`

Algorithm	Hash digest
SHA256	`8bf1d39e19f56a09948a9e1a479acd41bdcfbb822a69afc77c093c69d25cb4c3`
MD5	`2408a8e617010a2d36ddb99c54fae6c1`
BLAKE2b-256	`7b0d05fe977b65eb1d77d6ab9adaa5628475052888a095670a4377df89bf75c5`

Algorithm	Hash digest
SHA256	`7213b27a44d7ccd2efde8c27ecda147aa7f89a23cf1732e1f083d1f43ddb7e50`
MD5	`40995a8840aad1c2b0e18562a94a3a4a`
BLAKE2b-256	`70c14142ab4047acd4562cc0d071e2225402f885c97fcb6bbd0c8ef607430f0e`

Algorithm	Hash digest
SHA256	`73af8a7924d59a585e1cbdf3691603a218d01df889dff5823df03ec009700b15`
MD5	`1569b974298d5b4dc6318d5eb89494b7`
BLAKE2b-256	`b05e982665da707178c080f5a9f177f3bb648921849d27c09137093a6a8747d7`

Algorithm	Hash digest
SHA256	`1030b47adfce8e624075936639958508f9fee5f397e2a904163e5aa54123ceb4`
MD5	`f8e42498c2ee88b7bebccbde1a977419`
BLAKE2b-256	`371674d64e7d1748d3104af81388c061420c5516057fec221cc1fd2f57e118b2`

Algorithm	Hash digest
SHA256	`52698acf3c777a1d5852f7d1a0e05b838f5a9bcc60f345c16d9080a45a6d5d01`
MD5	`f05c6008c90005c3db702d0a78c5d152`
BLAKE2b-256	`270c1aa11998fa4bb45676ea260ba55710fdb8ede6f3e47f352603bcf7c533a3`

clickhouse-connect 0.8.6

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ClickHouse Connect

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Superset Connectivity

SQLAlchemy Implementation

Asyncio Support

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Algorithm	Hash digest
SHA256	`02920166879f78887f396a6307cda70d9bb1cccd43b706ffaef9d34a9df6bb72`
MD5	`a14e834e8a4df236482816e86c41ffa5`
BLAKE2b-256	`6bd827b8f78d470ec0978247530f7f739044e492f0f3d5fb3a4f1b02531b570e`

Algorithm	Hash digest
SHA256	`baec3b45f2fe7f3743e8b38d54487e6f950c07353951c5cf0cb0bbb2c884b456`
MD5	`32e9d8f1be1c0dc6bbf40e3fa0d5463f`
BLAKE2b-256	`d1e9abb0b12b23ec0c50f20249415f400ac93647968983b9d4c91117c53a18bf`

Algorithm	Hash digest
SHA256	`c3f0ecec40b768875804c5be67f949e62fe3cdae0373c8f3bf23ace3863c0f8f`
MD5	`150048c87894d11d697a8b36cd7c30ab`
BLAKE2b-256	`dd7ef1d0fc29fbec30026f371db878d5a81a8b97504c8f1fd77e4f033bc1e9f7`

Algorithm	Hash digest
SHA256	`1cec2bbd12abcbc26a8c8a27e6e04cc66d6519bc6fdd9cdd41d7dd4217a6cb21`
MD5	`cf307f2af7260697de5fe2538e0aee7b`
BLAKE2b-256	`9cfe2f4cf3fa3ba4885f301952f3a0c80d39e642faf259616caa78e645252884`

Algorithm	Hash digest
SHA256	`58532c4bd4bbc21b7ccd5a341fbdb87677e9c1714c0ddfb2afc899c5b9ff963d`
MD5	`d51a523fdb77151b893928e11e74aba6`
BLAKE2b-256	`dc70387d4ac740654347b5c8ae9c4a61c714e88962187c04b12518354121e7ad`

Algorithm	Hash digest
SHA256	`89e7e86dbb6b5edc667ef50eeca1dca995409150563b58944f080411a82a4b0a`
MD5	`6feeaebc2057c3950b1096a9f194faea`
BLAKE2b-256	`3748501258adbb3a7682592e7e14d3d6b4fd432b4bf6f106181719af15f0aec3`

Algorithm	Hash digest
SHA256	`0014e92d98277ebf0c102eb10ea70837126873b4668c3b92a087ef4c58c94b7e`
MD5	`1672e977f9b5e4098796853383b8e211`
BLAKE2b-256	`71f8007a7adad3c8c32e1f340c9a1be677b01db14aaa85249c3c72cb562b6cd0`

Algorithm	Hash digest
SHA256	`1ffd3c939157ba163d7b85847662cf12ff81dd2c75f91521391ba7519e7c235a`
MD5	`8f396f674bfdfc2786e3a2feb8505479`
BLAKE2b-256	`14aff2b4a53e2cf2f7132a9ca883e498f925b660b1313e7198da6824fc2f3117`

Algorithm	Hash digest
SHA256	`e70b0edafedbcdfe84f3610e3bf25eb789c12f13143ff34f022e62fbc40cd356`
MD5	`b11617756f71d6202352aa3c4a05a8af`
BLAKE2b-256	`d5352a220ee8cc1e9db56ba91c2ef79fdbcc0fccb23f860bb6a93d47530ad561`

Algorithm	Hash digest
SHA256	`775098feb6675af21467690dbfa88ddb6c91a84a15d03f668279e59596c4e660`
MD5	`cebe665a5b4d209c2762a7191b1d6f26`
BLAKE2b-256	`6acf0f4b255ac7c7ad9d493a8136b7edae8ca791f014ca8b8fd16c1f1b8b9468`