mirror of
https://github.com/ClickHouse/ClickHouse.git
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80 lines
2.4 KiB
Python
80 lines
2.4 KiB
Python
import os
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import io
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import sys
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import requests
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import time
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import pandas as pd
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CLICKHOUSE_HOST = os.environ.get("CLICKHOUSE_HOST", "127.0.0.1")
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CLICKHOUSE_PORT_HTTP = os.environ.get("CLICKHOUSE_PORT_HTTP", "8123")
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CLICKHOUSE_SERVER_URL_STR = (
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"http://" + ":".join(str(s) for s in [CLICKHOUSE_HOST, CLICKHOUSE_PORT_HTTP]) + "/"
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)
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CLICKHOUSE_DATABASE = os.environ.get("CLICKHOUSE_DATABASE", "test")
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class ClickHouseClient:
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def __init__(self, host=CLICKHOUSE_SERVER_URL_STR):
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self.host = host
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def query(
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self, query, connection_timeout=1500, settings=dict(), binary_result=False
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):
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NUMBER_OF_TRIES = 30
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DELAY = 10
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params = {
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"timeout_before_checking_execution_speed": 120,
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"max_execution_time": 6000,
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"database": CLICKHOUSE_DATABASE,
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}
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# Add extra settings to params
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params = {**params, **settings}
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for i in range(NUMBER_OF_TRIES):
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r = requests.post(
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self.host, params=params, timeout=connection_timeout, data=query
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)
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if r.status_code == 200:
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return r.content if binary_result else r.text
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else:
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print("ATTENTION: try #%d failed" % i)
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if i != (NUMBER_OF_TRIES - 1):
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print(query)
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print(r.text)
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time.sleep(DELAY * (i + 1))
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else:
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raise ValueError(r.text)
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def query_return_df(self, query, connection_timeout=1500):
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data = self.query(query, connection_timeout)
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df = pd.read_csv(io.StringIO(data), sep="\t")
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return df
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def query_with_data(self, query, data, connection_timeout=1500, settings=dict()):
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params = {
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"query": query,
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"timeout_before_checking_execution_speed": 120,
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"max_execution_time": 6000,
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"database": CLICKHOUSE_DATABASE,
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}
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headers = {"Content-Type": "application/binary"}
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# Add extra settings to params
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params = {**params, **settings}
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r = requests.post(
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self.host,
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params=params,
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timeout=connection_timeout,
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data=data,
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headers=headers,
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)
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result = r.text
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if r.status_code == 200:
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return result
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else:
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raise ValueError(r.text)
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