A asyncio driver for ClickHouse with native tcp protocol
Project description
asynch
Introduction
asynch
is an asyncio ClickHouse Python Driver with native (TCP) interface support, which reuse most of clickhouse-driver and comply with PEP249.
Install
> pip install asynch
Usage
Connect to ClickHouse
from asynch import connect
async def connect_database():
conn = await connect(
host = "127.0.0.1",
port = 9000,
database = "default",
user = "default",
password = "",
)
Create table by sql
async def create_table():
async with conn.cursor(cursor=DictCursor) as cursor:
await cursor.execute('create database if not exists test')
await cursor.execute("""
CREATE TABLE if not exists test.asynch
(
`id` Int32,
`decimal` Decimal(10, 2),
`date` Date,
`datetime` DateTime,
`float` Float32,
`uuid` UUID,
`string` String,
`ipv4` IPv4,
`ipv6` IPv6
)
ENGINE = MergeTree
ORDER BY id"""
)
Use fetchone
async def fetchone():
async with conn.cursor() as cursor:
await cursor.execute("SELECT 1")
ret = await cursor.fetchone()
assert ret == (1,)
Use fetchmany
async def fetchall():
async with conn.cursor() as cursor:
await cursor.execute("SELECT 1")
ret = await cursor.fetchall()
assert ret == [(1,)]
Use DictCursor
to get result with dict
async def dict_cursor():
async with conn.cursor(cursor=DictCursor) as cursor:
await cursor.execute("SELECT 1")
ret = await cursor.fetchall()
assert ret == [{"1": 1}]
Insert data with dict
from asynch.cursors import DictCursor
async def insert_dict():
async with conn.cursor(cursor=DictCursor) as cursor:
ret = await cursor.execute(
"""INSERT INTO test.asynch(id,decimal,date,datetime,float,uuid,string,ipv4,ipv6) VALUES""",
[
{
"id": 1,
"decimal": 1,
"date": "2020-08-08",
"datetime": "2020-08-08 00:00:00",
"float": 1,
"uuid": "59e182c4-545d-4f30-8b32-cefea2d0d5ba",
"string": "1",
"ipv4": "0.0.0.0",
"ipv6": "::",
}
],
)
assert ret == 1
Insert data with tuple
async def insert_tuple():
async with conn.cursor(cursor=DictCursor) as cursor:
ret = await cursor.execute(
"""INSERT INTO test.asynch(id,decimal,date,datetime,float,uuid,string,ipv4,ipv6) VALUES""",
[
(
1,
1,
"2020-08-08",
"2020-08-08 00:00:00",
1,
"59e182c4-545d-4f30-8b32-cefea2d0d5ba",
"1",
"0.0.0.0",
"::",
)
],
)
assert ret == 1
Use connection pool
async def use_pool():
pool = await asynch.create_pool()
async with pool.acquire() as conn:
async with conn.cursor() as cursor:
await cursor.execute("SELECT 1")
ret = await cursor.fetchone()
assert ret == (1,)
pool.close()
await pool.wait_closed()
ThanksTo
- clickhouse-driver, ClickHouse Python Driver with native interface support.
License
This project is licensed under the Apache-2.0 License.
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