ClickHouse Connect
A suite of Python packages for connecting Python to ClickHouse, initially supporting Apache Superset using a minimal read only SQLAlchemy dialect. Uses the ClickHouse HTTP interface.
Installation
pip install clickhouse-connect
ClickHouse Connect requires Python 3.7 or higher. The cython package must be installed prior to installing
clickhouse_connect to build and install the optional Cython/C extensions used for improving read and write
performance using the ClickHouse Native format. After installing cython if desired, clone this repository and
run python setup.py installfrom the project directory.
Getting Started
Basic query:
import clickhouse_connect
client = clickhouse_connect.get_client(host='play.clickhouse.com', port=443, username='play')
query_result = client.query('SELECT * FROM system.tables')
print (query_result.result_set)
Simple 'command' that does not return a result set.
import clickhouse_connect
client = clickhouse_connect.get_client()
client.command ('CREATE TABLE test_table (key UInt16, value String) ENGINE Memory')
Bulk insert of a matrix of rows and columns.
data = [[100, 'value1'], [200, 'value2']]
client.insert('test_table', data)
print(client.query('SELECT * FROM test_table').result_set)
-> [(100, 'value1'), (200, 'value2')]
Minimal SQLAlchemy Support
On installation ClickHouse Connect registers the clickhousedb SQLAlchemy Dialect entry point. This
dialect supports basic table reflection for table columns and datatypes, and command and query
execution using DB API 2.0 cursors. Most ClickHouse datatypes have full query/cursor support.
ClickHouse Connect does not yet implement the full SQLAlchemy API for DDL (Data Definition Language) or ORM (Object Relational Mapping). These features are in development.
Superset Support
On installation ClickHouse Connect registers the clickhousedb Superset Database Engine Spec entry
point. Using the clickhousedb SQLAlchemy dialect, the engine spec supports complete data exploration
and Superset SQL Lab functionality with all standard ClickHouse data types. See
Connecting Superset for complete instructions.
ClickHouse Enum, UUID, and IP Address datatypes are treated as strings. For compatibility with Superset Pandas dataframes, unsigned UInt64 data types are interpreted as signed Int64 values. ClickHouse CSV Upload via SuperSet is not yet implemented.
Optional Features
SQLAlchemy and Superset require the corresponding SQLAlchemy and Apache Superset packages to be included in your Python installation. ClickHouse connect also includes C/Cython extensions for improved performance reading String and FixedString datatypes. These extensions will be installed automatically by setup.py if a C compiler is available.
Query results can be returned as either a numpy array or a pandas DataFrame if the numpy and
pandas libraries are available. Use the client methods query_np and query_df respectively.
Tests
The tests directory contains a standard pytest test suite. Integration tests require docker to be
installed and run against the current clickhouse/clickhouse-server image. The test suite includes
"fuzz" testing for reading/writing all supported datatypes with randomly generated data. To run the
full test suite all libraries supporting optional features (Superset and SQLAlchemy) should be available.
To install the C/Cython libaries required for testing in the project, run python setup.py build_ext --inplace.
Main Client Interface
Interaction with the ClickHouse server is done through a clickhouse_connect Client instance. At this point only an HTTP(s) based Client is supported.
HTTP Client constructor/initialization parameters
Create a ClickHouse client using the clickhouse_connect.driver.create_client(...) function or
clickhouse_connect.get_client(...) wrapper. All parameters are optional:
interface:strhttps or http
Defaults to https if a recognized secure port (443 or 8443), otherwise httphost:strClickHouse server hostname or ip address
Defaults to localhostport:intClickHouse server port number
Defaults to 8123 or 8443 (if the interface is https)username:strClickHouse userpassword:strClickHouse passworddatabase:strDefault database to use for the client.
Defaults to the default database for the ClickHouse usercompress:boolAccept compressed data from the ClickHouse server.
Defaults to Trueformat:strnative (ClickHouse Native) or rb (ClickHouse Row Binary)
Native format is preferred for performance reasonsquery_limit:intLIMIT value added to all queries.
Defaults to 5,000 rows. Setting query_limit=0 will return unlimited results, at the risk of running out of memoryconnect_timeout:intHTTP connection timeout in seconds. Default 10 seconds.send_receive_timeout:intHTTP read timeout in seconds. Default 300 seconds.client_name:strHTTP User-Agent header. Defaults toclickhouse-connectverify:boolFor HTTPS connections, validate the ClickHouse server TLS certificate, including matching hostname, expiration, and signed by a trusted Certificate Authority. Defaults to True.ca_cert:strFile path to private/Self-Signed Certificate Authority TLS certificate to validate ClickHouse serverclient_cert:strFile path to Client Certificate for mutual TLS authentication (including any intermediate certificates)client_cert_key:strFile path to Client Certificate private key for mutual TLS authentication. This parameter is not required if the client_cert is a .pem file containing both the certificate(s) and private key
Any remaining keyword parameters are interpreted as 'setting' parameters to send to the ClickHouse server with every query/request
Querying data
Use the client query method to retrieve a QueryResult from ClickHouse. Parameters:
query:strRequired. ClickHouse query statement (eitherSELECT,DESCRIBE, or other system commands that result a result set.)parameters:Dict[str, Any]Optional. Dictionary ofstrkeys with values of any Python scalar datatype. These values will be replaced in the query string using Python %s type formattingsettings:Dict[str, str]Optional. Dictionary ofstrkeys andstrvalues for ClickHouse query settingsuse_none:boolOptional, defaults to true. Use the Python None type for ClickHouse NULLS. Otherwise the QueryResult will include 0/empty values for ClickHouse nulls. This is useful for populating Numpy arrays or Pandas dataframes, which do not accept nulls
The query method results a QueryResult object with the following fields:
result_set:Sequence[Sequence]A sequence of rows of column values containing the Python native data types from the query.column_names:listA list of column names for the rows in theresult_setcolumn_types:listA list of ClickHouseType objects for each columnquery_id:strThe ClickHouse query id. Note that this can be specified for ClickHouse by using the settings parameter, e.g.client.query('SELECT * FROM system.tables', settings={'query_id': 'test_query_id'})Otherwise ClickHouse will assign a random UUID as the query id.summary:Dict[str, Any]The final contents of the X-ClickHouse-Summary header. Note that this is empty unless the settingsend_progress_in_http_headersis enabled.
Numpy and Pandas queries
If Numpy is installed, the driver can return a complete Numpy array by using the client query_np method instead of
query. The parameters for query and query_np are the same, except query_np does not need or accept the use_none
argument as Numpy arrays do not support Python None.
If Pandas is installed as well as Numpy, a populated pandas DataFrame will be returned by the client query_df method
instead of query. The three parameters (query, parameters, and settings) are identical to the parameters
for query_np.
Datatype options for queries
There are some convenience methods in the clickhouse_connect.driver package that control the format
of some ClickHouse datatypes. These are included in part to improve Superset compatibility.
fixed_string_formatFormat for FixedString datatypes. Options are bytes and string, defaults to Python byte objects. Set to string when the SuperSet packages are initialized for datasets that used FixedString objects as actual strings.big_int_formatFormat for U/Int128 and U/Int256 datatypes. Options are int and string, defaults to int datatypes. Set to string when SupersetSet packages are initialized because SuperSet dataframes do not handle Python integers larger than 64 bits.uint64_formatFormat for UInt64 ClickHouse types. Options are signed and unsigned, defaults to_unsigned. Set to signed when SuperSet packages are initialized because SuperSet dataframes do not handle unsigned 64 bit integers.uuid_formatFormat for UUID ClickHouse types. Options are uuid and string, defaults to Python UUID datatypes. Set to string when SuperSet packages are initialized because SuperSet dataframes do not provide special handling for UUID typesip_formatFormat for IPv4/IPv6 ClickHouse types. Options areipandstring, default to Python IP4Address/ IPv6Address types. Set to string for compatibility with SuperSet dataframes
Inserting data
Use the client insert method to insert data into a ClickHouse table. Parameters:
table:strRequired. ClickHouse table name to insert data into. This can be either the fulldatabase.tableor just the table name. In the latter case the database is determined by either the database parameter or the default database for the client/connectiondata:Iterable:[Iterable[Any]]Required. The matrix of rows and columns of native Python datatypes to insert.column_names:Union[str, Iterable[str]]Required. Either a single column name or list of columns. If*, the driver will retrieve the list of columns from the ClickHouse Server inpositionorder, which is fragile and not recommended. Column names should be in the same order as columns in thedatacollection.column_types:[Iterable[ClickHouseType]]Optional. List of driver ClickHouseType objects that match thecolumn_namesparameter. If not specified (andcolumn_type_namesis not specified), column types will be retrieved from the ClickHouse server using theDESCRIBE TABLE.column_type_names:[Iterable[str]]Optional. List of column type names as required/returned by the ClickHouse server. These can be used to populate thecolumn_typesparameter without calling the ClickHouse Server.column_oriented:boolDefault False. If True thedataparameter is processed as a sequence of equal length columns, instead of a list of rows. This eliminates the need to "pivot" the matrix when using the Native data format.settings:Dict[str, str]Optional. Dictionary of ClickHouse settings to be applied to the insert query.
Notes on data inserts
The client insert_df can be used to insert a Pandas DataFrame, assuming the column names in the DataFrame match the
ClickHouse table column names. Note that a Numpy array can be passed directly as the data parameter to the primary
insert method so there is no separate insert_np method.
For column types that can be different native Python types (for example, UUIDs or IP Addresses), the driver will assume that the data type for the whole column matches the first non "None" value in the column and process insert data accordingly. So if the first data value for insert into a ClickHouse UUID column is a string, the driver will assume all data values in that insert column are strings.
DDL and other "simple" SQL statements
The client command method can be used for ClickHouse commands/queries that return a single result or row of results
values. In this case the result is returned as a single row TabSeparated values and are cast to a single string,
int, or list of string values. The command method parameters are:
cmd:strRequired. ClickHouse SQL command/query.parameters:Dict[str, Any]Optional. Dictionary ofstrkeys with values of any Python scalar datatype. These values will be replaced in the query string using Python %s type formattinguse_database:boolOptional, defaults to True. Use the client default database (as set when the client is created or the user's default database) when sending the query. This is set to False in order to determine the users default database on connection.settings:Dict[str, Any]Optional. Dictionary of ClickHouse settings to be applied to the insert query.
4 maintainers
Metadata
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Release files for clickhouse-connect 0.2.9
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Release files / clickhouse_connect-0.2.9-cp311-cp311-win_amd64.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-win32.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-musllinux_1_1_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-musllinux_1_1_i686.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-musllinux_1_1_aarch64.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-macosx_11_0_arm64.whl
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Release files / clickhouse_connect-0.2.9-cp311-cp311-macosx_10_9_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-win_amd64.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-win32.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-musllinux_1_1_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-musllinux_1_1_i686.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-musllinux_1_1_aarch64.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / clickhouse_connect-0.2.9-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-macosx_11_0_arm64.whl
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Release files / clickhouse_connect-0.2.9-cp310-cp310-macosx_10_9_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-win_amd64.whl
| Download URL | clickhouse_connect-0.2.9-cp39-cp39-win_amd64.whl |
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Release files / clickhouse_connect-0.2.9-cp39-cp39-win32.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-musllinux_1_1_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-musllinux_1_1_i686.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-musllinux_1_1_aarch64.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / clickhouse_connect-0.2.9-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | clickhouse_connect-0.2.9-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
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Release files / clickhouse_connect-0.2.9-cp39-cp39-macosx_11_0_arm64.whl
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Release files / clickhouse_connect-0.2.9-cp39-cp39-macosx_10_9_x86_64.whl
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Release files / clickhouse_connect-0.2.9-cp38-cp38-win_amd64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-win_amd64.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-win32.whl
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Release files / clickhouse_connect-0.2.9-cp38-cp38-musllinux_1_1_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-musllinux_1_1_x86_64.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-musllinux_1_1_i686.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-musllinux_1_1_i686.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-musllinux_1_1_aarch64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-musllinux_1_1_aarch64.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-macosx_11_0_arm64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-macosx_11_0_arm64.whl |
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No |
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Release files / clickhouse_connect-0.2.9-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp38-cp38-macosx_10_9_x86_64.whl |
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No |
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twine/4.0.1 CPython/3.8.10
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-win_amd64.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-win_amd64.whl |
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-win32.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-win32.whl |
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-musllinux_1_1_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-musllinux_1_1_x86_64.whl |
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No |
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-musllinux_1_1_i686.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-musllinux_1_1_i686.whl |
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| Size | 189.7 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-32 |
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twine/4.0.1 CPython/3.8.10
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-musllinux_1_1_aarch64.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-musllinux_1_1_aarch64.whl |
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| Size | 183.0 kB |
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No |
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twine/4.0.1 CPython/3.8.10
|
Release files / clickhouse_connect-0.2.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 180.1 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 |
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twine/4.0.1 CPython/3.8.10
|
Release files / clickhouse_connect-0.2.9-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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twine/4.0.1 CPython/3.8.10
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl |
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No |
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twine/4.0.1 CPython/3.8.10
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Release files / clickhouse_connect-0.2.9-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | clickhouse_connect-0.2.9-cp37-cp37m-macosx_10_9_x86_64.whl |
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| Size | 92.3 kB |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
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