PaidVisibility Import
This commit is contained in:
Dipanshu Kumar
@@ -0,0 +1,604 @@
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import pyodbc
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import pandas as pd
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import clickhouse_connect
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import numpy as np
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from datetime import datetime
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import traceback
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import warnings
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import time
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# =========================================================
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# IGNORE WARNINGS
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# =========================================================
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warnings.filterwarnings(
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'ignore',
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'pandas only supports SQLAlchemy connectable'
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)
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print("\n================================================")
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print("ETL STARTED :", datetime.now())
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print("================================================")
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# =========================================================
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# SQL SERVER CONNECTION STRING
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# =========================================================
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SQL_CONN_STR = (
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'DRIVER={ODBC Driver 17 for SQL Server};'
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'SERVER=10.200.25.65;'
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'DATABASE=CPMIndiaBusinessInsight;'
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'UID=bsgteam_test;'
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'PWD=B$gt3@m#00512;'
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'TrustServerCertificate=yes;'
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'Connection Timeout=60;'
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)
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# =========================================================
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# CLICKHOUSE CONFIG
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# =========================================================
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CH_CONFIG = {
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'host': '172.188.12.194',
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'port': 8123,
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'username': 'default',
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'password': 'dipanshu_k',
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'database': 'DaburIndia_BI'
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}
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# =========================================================
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# TABLE DETAILS
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# =========================================================
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TABLE_NAME = 'Mapping_StoreVisibility'
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PROJECT_ID = 41654
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# =========================================================
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# SETTINGS
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# =========================================================
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TRUNCATE_BEFORE_LOAD = True
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table_truncated = False
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# =========================================================
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# CHUNK SIZE
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# =========================================================
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chunk_size = 20000
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# =========================================================
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# CONNECT SQL SERVER
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# =========================================================
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def connect_sql():
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try:
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conn = pyodbc.connect(
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SQL_CONN_STR,
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autocommit=True
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)
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print("Connected SQL Server")
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return conn
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except Exception as e:
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print("SQL CONNECTION FAILED")
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print(str(e))
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raise
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# =========================================================
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# CONNECT CLICKHOUSE
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# =========================================================
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def connect_clickhouse():
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try:
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client = clickhouse_connect.get_client(
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**CH_CONFIG
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)
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print("Connected ClickHouse")
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return client
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except Exception as e:
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print("CLICKHOUSE CONNECTION FAILED")
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print(str(e))
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raise
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# =========================================================
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# CLEAN DATAFRAME
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# =========================================================
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def clean_dataframe(df):
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try:
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# ---------------------------------------------
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# Replace NaN
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# ---------------------------------------------
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df = df.replace({np.nan: None})
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# ---------------------------------------------
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# Process Column Wise
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# ---------------------------------------------
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for col in df.columns:
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try:
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print(f"\nCleaning Column : {col}")
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# =====================================
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# AUTO DETECT DATE / TIME COLUMNS
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# =====================================
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if (
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'date' in col.lower()
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or 'time' in col.lower()
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):
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print(f"Date Column : {col}")
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df[col] = pd.to_datetime(
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df[col],
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errors='coerce'
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)
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cleaned_dates = []
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for val in df[col]:
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if pd.isnull(val):
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cleaned_dates.append(None)
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else:
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cleaned_dates.append(
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val.to_pydatetime()
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)
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df[col] = cleaned_dates
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# =====================================
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# INTEGER COLUMNS
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# =====================================
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elif pd.api.types.is_integer_dtype(df[col]):
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print(f"Integer Column : {col}")
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df[col] = pd.to_numeric(
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df[col],
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errors='coerce'
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)
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df[col] = df[col].apply(
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lambda x:
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int(x)
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if pd.notnull(x)
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else None
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)
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# =====================================
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# FLOAT COLUMNS
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# =====================================
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elif pd.api.types.is_float_dtype(df[col]):
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print(f"Float Column : {col}")
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df[col] = pd.to_numeric(
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df[col],
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errors='coerce'
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)
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df[col] = df[col].apply(
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lambda x:
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float(x)
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if pd.notnull(x)
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else None
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)
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# =====================================
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# OBJECT / STRING COLUMNS
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# =====================================
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else:
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print(f"String/Object Column : {col}")
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cleaned = []
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for val in df[col]:
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# NULL
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if pd.isnull(val):
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cleaned.append(None)
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# DATETIME
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elif isinstance(
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val,
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(
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datetime,
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pd.Timestamp
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)
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):
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if isinstance(
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val,
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pd.Timestamp
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):
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cleaned.append(
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val.to_pydatetime()
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)
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else:
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cleaned.append(val)
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# INTEGER
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elif isinstance(
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val,
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(
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int,
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np.integer
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)
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):
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cleaned.append(
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int(val)
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)
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# FLOAT
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elif isinstance(
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val,
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(
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float,
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np.floating
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)
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):
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if np.isnan(val):
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cleaned.append(None)
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else:
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cleaned.append(
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float(val)
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)
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# BOOLEAN
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elif isinstance(
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val,
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bool
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):
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cleaned.append(
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int(val)
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)
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# STRING
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else:
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cleaned.append(
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str(val).strip()
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)
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df[col] = cleaned
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except Exception as col_error:
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print("\n================================")
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print(f"COLUMN FAILED : {col}")
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print(str(col_error))
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print("================================")
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return df
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except Exception as clean_error:
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print("\n================================")
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print("DATA CLEAN FAILED")
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print(str(clean_error))
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print("================================")
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return df
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# =========================================================
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# MAIN PROCESS
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# =========================================================
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try:
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# =====================================================
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# CONNECT SQL SERVER
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# =====================================================
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sql_conn = connect_sql()
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# =====================================================
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# CONNECT CLICKHOUSE
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# =====================================================
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ch_client = connect_clickhouse()
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# =====================================================
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# QUERY
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# =====================================================
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query = f"""
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SELECT *
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FROM dbo.[{TABLE_NAME}]
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WHERE Project_Id = {PROJECT_ID}
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"""
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print("\nExecuting Query")
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print(query)
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# =====================================================
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# RETRY SETTINGS
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# =====================================================
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retry_count = 0
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max_retry = 5
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# =====================================================
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# MAIN RETRY LOOP
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# =====================================================
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while retry_count < max_retry:
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try:
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# =============================================
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# READ SQL DATA
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# =============================================
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for chunk in pd.read_sql(
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query,
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sql_conn,
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chunksize=chunk_size
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):
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try:
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print("\n================================")
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print(
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f"Processing Rows : "
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f"{len(chunk)}"
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)
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print("================================")
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# =====================================
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# CLEAN DATA
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# =====================================
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chunk = clean_dataframe(chunk)
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# =====================================
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# DEBUG COLUMN TYPES
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# =====================================
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print("\nCOLUMN DATATYPES")
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print(chunk.dtypes)
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print("\nCOLUMN SAMPLE TYPES")
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for col in chunk.columns:
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sample = chunk[col].dropna()
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if len(sample) > 0:
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print(
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col,
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type(sample.iloc[0]),
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sample.iloc[0]
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)
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# =====================================
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# TRUNCATE TABLE FIRST TIME ONLY
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# =====================================
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if (
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TRUNCATE_BEFORE_LOAD
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and
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not table_truncated
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):
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print("\n================================")
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print(
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f"TRUNCATING TABLE : "
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f"{TABLE_NAME}"
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)
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print("================================")
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# IMPORTANT FIX
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truncate_query = f"""
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TRUNCATE TABLE
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`{CH_CONFIG['database']}`.`{TABLE_NAME}`
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"""
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ch_client.command(
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truncate_query
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)
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print(
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"TABLE TRUNCATED SUCCESSFULLY"
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)
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table_truncated = True
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# =====================================
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# INSERT INTO CLICKHOUSE
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# =====================================
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print(
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"\nINSERTING INTO CLICKHOUSE..."
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)
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ch_client.insert_df(
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table=TABLE_NAME,
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df=chunk,
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database=CH_CONFIG['database']
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)
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print(
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f"INSERTED : "
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f"{len(chunk)} ROWS"
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)
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except Exception as insert_error:
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print("\n================================")
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print("INSERT FAILED")
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print("================================")
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print(str(insert_error))
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traceback.print_exc()
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# =================================
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# SAVE ERROR LOG
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# =================================
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with open(
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"insert_error.log",
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"a",
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encoding="utf-8"
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) as log:
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log.write(
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"\n\n================================"
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)
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log.write(
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f"\nTIME : "
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f"{datetime.now()}"
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)
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log.write(
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f"\nTABLE : "
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f"{TABLE_NAME}"
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)
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log.write(
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f"\nERROR : "
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f"{str(insert_error)}"
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)
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log.write(
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f"\nTRACEBACK :\n"
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f"{traceback.format_exc()}"
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)
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log.write(
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"\n================================"
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)
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continue
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# =============================================
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# SUCCESS
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# =============================================
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break
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# =================================================
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# SQL CONNECTION FAILURE
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# =================================================
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except pyodbc.OperationalError as op_error:
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retry_count += 1
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print("\n================================")
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print(
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f"SQL CONNECTION LOST "
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f"- RETRY {retry_count}"
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)
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print("================================")
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|
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print(str(op_error))
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time.sleep(10)
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try:
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sql_conn.close()
|
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|
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except:
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pass
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|
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# RECONNECT SQL
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||||
sql_conn = connect_sql()
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# =================================================
|
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# OTHER ERROR
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# =================================================
|
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except Exception as loop_error:
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print("\n================================")
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print("MAIN LOOP ERROR")
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print("================================")
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|
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print(str(loop_error))
|
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|
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traceback.print_exc()
|
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|
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break
|
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|
||||
print("\n================================")
|
||||
print("ETL COMPLETED SUCCESSFULLY")
|
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print("================================")
|
||||
|
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# =========================================================
|
||||
# MAIN ERROR
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||||
# =========================================================
|
||||
except Exception as main_error:
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|
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print("\n================================")
|
||||
print("MAIN ERROR")
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||||
print("================================")
|
||||
|
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print(str(main_error))
|
||||
|
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traceback.print_exc()
|
||||
|
||||
with open(
|
||||
"main_error.log",
|
||||
"a",
|
||||
encoding="utf-8"
|
||||
) as log:
|
||||
|
||||
log.write(
|
||||
"\n\n================================"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTIME : {datetime.now()}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nERROR : {str(main_error)}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTRACEBACK :\n"
|
||||
f"{traceback.format_exc()}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
"\n================================"
|
||||
)
|
||||
|
||||
# =========================================================
|
||||
# CLOSE CONNECTIONS
|
||||
# =========================================================
|
||||
finally:
|
||||
|
||||
try:
|
||||
|
||||
sql_conn.close()
|
||||
|
||||
print("\nSQL SERVER CONNECTION CLOSED")
|
||||
|
||||
except:
|
||||
pass
|
||||
|
||||
try:
|
||||
|
||||
ch_client.close()
|
||||
|
||||
print("CLICKHOUSE CONNECTION CLOSED")
|
||||
|
||||
except:
|
||||
pass
|
||||
|
||||
print("\n================================================")
|
||||
print("ETL FINISHED :", datetime.now())
|
||||
print("================================================")
|
||||
+318
-259
@@ -5,6 +5,7 @@ import numpy as np
|
||||
from datetime import datetime
|
||||
import traceback
|
||||
import warnings
|
||||
import time
|
||||
|
||||
# =========================================================
|
||||
# IGNORE WARNINGS
|
||||
@@ -14,10 +15,12 @@ warnings.filterwarnings(
|
||||
'pandas only supports SQLAlchemy connectable'
|
||||
)
|
||||
|
||||
print("ETL Started :", datetime.now())
|
||||
print("\n================================================")
|
||||
print("ETL STARTED :", datetime.now())
|
||||
print("================================================")
|
||||
|
||||
# =========================================================
|
||||
# SQL SERVER CONNECTION
|
||||
# SQL SERVER CONNECTION STRING
|
||||
# =========================================================
|
||||
SQL_CONN_STR = (
|
||||
'DRIVER={ODBC Driver 17 for SQL Server};'
|
||||
@@ -26,6 +29,7 @@ SQL_CONN_STR = (
|
||||
'UID=bsgteam_test;'
|
||||
'PWD=B$gt3@m#00512;'
|
||||
'TrustServerCertificate=yes;'
|
||||
'Connection Timeout=60;'
|
||||
)
|
||||
|
||||
# =========================================================
|
||||
@@ -40,31 +44,66 @@ CH_CONFIG = {
|
||||
}
|
||||
|
||||
# =========================================================
|
||||
# TABLE NAME
|
||||
# TABLE DETAILS
|
||||
# =========================================================
|
||||
TABLE_NAME = 'PaidVisibility'
|
||||
PROJECT_ID = 41654
|
||||
|
||||
# =========================================================
|
||||
# LOAD SETTINGS
|
||||
# SETTINGS
|
||||
# =========================================================
|
||||
TRUNCATE_BEFORE_LOAD = True
|
||||
table_truncated = False
|
||||
|
||||
# =========================================================
|
||||
# CLICKHOUSE DATE COLUMNS
|
||||
# CHUNK SIZE
|
||||
# =========================================================
|
||||
DATE_COLUMNS = [
|
||||
'visit_date'
|
||||
]
|
||||
chunk_size = 25000
|
||||
|
||||
# =========================================================
|
||||
# CLICKHOUSE DATETIME COLUMNS
|
||||
# CONNECT SQL SERVER
|
||||
# =========================================================
|
||||
DATETIME_COLUMNS = [
|
||||
'create_date',
|
||||
'update_date'
|
||||
]
|
||||
def connect_sql():
|
||||
|
||||
try:
|
||||
|
||||
conn = pyodbc.connect(
|
||||
SQL_CONN_STR,
|
||||
autocommit=True
|
||||
)
|
||||
|
||||
print("Connected SQL Server")
|
||||
|
||||
return conn
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print("SQL CONNECTION FAILED")
|
||||
print(str(e))
|
||||
|
||||
raise
|
||||
|
||||
# =========================================================
|
||||
# CONNECT CLICKHOUSE
|
||||
# =========================================================
|
||||
def connect_clickhouse():
|
||||
|
||||
try:
|
||||
|
||||
client = clickhouse_connect.get_client(
|
||||
**CH_CONFIG
|
||||
)
|
||||
|
||||
print("Connected ClickHouse")
|
||||
|
||||
return client
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print("CLICKHOUSE CONNECTION FAILED")
|
||||
print(str(e))
|
||||
|
||||
raise
|
||||
|
||||
# =========================================================
|
||||
# CLEAN DATAFRAME
|
||||
@@ -88,60 +127,35 @@ def clean_dataframe(df):
|
||||
print(f"\nCleaning Column : {col}")
|
||||
|
||||
# =====================================
|
||||
# DATE32 COLUMNS
|
||||
# AUTO DETECT DATE / TIME COLUMNS
|
||||
# =====================================
|
||||
if col.lower() in [
|
||||
x.lower() for x in DATE_COLUMNS
|
||||
]:
|
||||
if (
|
||||
'date' in col.lower()
|
||||
or 'time' in col.lower()
|
||||
):
|
||||
|
||||
print(f"Date32 Column : {col}")
|
||||
print(f"Date Column : {col}")
|
||||
|
||||
df[col] = pd.to_datetime(
|
||||
df[col],
|
||||
errors='coerce'
|
||||
)
|
||||
|
||||
# Remove invalid dates
|
||||
df[col] = df[col].where(
|
||||
(df[col].dt.year >= 1970) &
|
||||
(df[col].dt.year <= 2100)
|
||||
)
|
||||
cleaned_dates = []
|
||||
|
||||
# Convert to datetime.date
|
||||
df[col] = df[col].apply(
|
||||
lambda x:
|
||||
x.date()
|
||||
if pd.notnull(x)
|
||||
else None
|
||||
)
|
||||
for val in df[col]:
|
||||
|
||||
# =====================================
|
||||
# DATETIME64 COLUMNS
|
||||
# =====================================
|
||||
elif col.lower() in [
|
||||
x.lower() for x in DATETIME_COLUMNS
|
||||
]:
|
||||
if pd.isnull(val):
|
||||
|
||||
print(f"DateTime Column : {col}")
|
||||
cleaned_dates.append(None)
|
||||
|
||||
df[col] = pd.to_datetime(
|
||||
df[col],
|
||||
errors='coerce'
|
||||
)
|
||||
else:
|
||||
|
||||
# Remove invalid dates
|
||||
df[col] = df[col].where(
|
||||
(df[col].dt.year >= 1970) &
|
||||
(df[col].dt.year <= 2100)
|
||||
)
|
||||
cleaned_dates.append(
|
||||
val.to_pydatetime()
|
||||
)
|
||||
|
||||
# Convert to datetime.datetime
|
||||
df[col] = df[col].apply(
|
||||
lambda x:
|
||||
x.to_pydatetime()
|
||||
if pd.notnull(x)
|
||||
else None
|
||||
)
|
||||
df[col] = cleaned_dates
|
||||
|
||||
# =====================================
|
||||
# INTEGER COLUMNS
|
||||
@@ -169,28 +183,17 @@ def clean_dataframe(df):
|
||||
|
||||
print(f"Float Column : {col}")
|
||||
|
||||
non_null = df[col].dropna()
|
||||
df[col] = pd.to_numeric(
|
||||
df[col],
|
||||
errors='coerce'
|
||||
)
|
||||
|
||||
# Convert whole float to int
|
||||
if len(non_null) > 0 and (
|
||||
(non_null % 1 == 0).all()
|
||||
):
|
||||
|
||||
df[col] = df[col].apply(
|
||||
lambda x:
|
||||
int(x)
|
||||
if pd.notnull(x)
|
||||
else None
|
||||
)
|
||||
|
||||
else:
|
||||
|
||||
df[col] = df[col].apply(
|
||||
lambda x:
|
||||
float(x)
|
||||
if pd.notnull(x)
|
||||
else None
|
||||
)
|
||||
df[col] = df[col].apply(
|
||||
lambda x:
|
||||
float(x)
|
||||
if pd.notnull(x)
|
||||
else None
|
||||
)
|
||||
|
||||
# =====================================
|
||||
# OBJECT / STRING COLUMNS
|
||||
@@ -208,50 +211,6 @@ def clean_dataframe(df):
|
||||
|
||||
cleaned.append(None)
|
||||
|
||||
# INTEGER
|
||||
elif isinstance(
|
||||
val,
|
||||
(
|
||||
int,
|
||||
np.integer
|
||||
)
|
||||
):
|
||||
|
||||
cleaned.append(int(val))
|
||||
|
||||
# FLOAT
|
||||
elif isinstance(
|
||||
val,
|
||||
(
|
||||
float,
|
||||
np.floating
|
||||
)
|
||||
):
|
||||
|
||||
if np.isnan(val):
|
||||
|
||||
cleaned.append(None)
|
||||
|
||||
else:
|
||||
|
||||
if val.is_integer():
|
||||
|
||||
cleaned.append(int(val))
|
||||
|
||||
else:
|
||||
|
||||
cleaned.append(float(val))
|
||||
|
||||
# STRING
|
||||
elif isinstance(val, str):
|
||||
|
||||
cleaned.append(val.strip())
|
||||
|
||||
# BOOLEAN
|
||||
elif isinstance(val, bool):
|
||||
|
||||
cleaned.append(int(val))
|
||||
|
||||
# DATETIME
|
||||
elif isinstance(
|
||||
val,
|
||||
@@ -274,10 +233,54 @@ def clean_dataframe(df):
|
||||
|
||||
cleaned.append(val)
|
||||
|
||||
# OTHER
|
||||
# INTEGER
|
||||
elif isinstance(
|
||||
val,
|
||||
(
|
||||
int,
|
||||
np.integer
|
||||
)
|
||||
):
|
||||
|
||||
cleaned.append(
|
||||
int(val)
|
||||
)
|
||||
|
||||
# FLOAT
|
||||
elif isinstance(
|
||||
val,
|
||||
(
|
||||
float,
|
||||
np.floating
|
||||
)
|
||||
):
|
||||
|
||||
if np.isnan(val):
|
||||
|
||||
cleaned.append(None)
|
||||
|
||||
else:
|
||||
|
||||
cleaned.append(
|
||||
float(val)
|
||||
)
|
||||
|
||||
# BOOLEAN
|
||||
elif isinstance(
|
||||
val,
|
||||
bool
|
||||
):
|
||||
|
||||
cleaned.append(
|
||||
int(val)
|
||||
)
|
||||
|
||||
# STRING
|
||||
else:
|
||||
|
||||
cleaned.append(str(val))
|
||||
cleaned.append(
|
||||
str(val).strip()
|
||||
)
|
||||
|
||||
df[col] = cleaned
|
||||
|
||||
@@ -307,16 +310,12 @@ try:
|
||||
# =====================================================
|
||||
# CONNECT SQL SERVER
|
||||
# =====================================================
|
||||
sql_conn = pyodbc.connect(SQL_CONN_STR)
|
||||
|
||||
print("Connected to SQL Server")
|
||||
sql_conn = connect_sql()
|
||||
|
||||
# =====================================================
|
||||
# CONNECT CLICKHOUSE
|
||||
# =====================================================
|
||||
ch_client = clickhouse_connect.get_client(**CH_CONFIG)
|
||||
|
||||
print("Connected to ClickHouse")
|
||||
ch_client = connect_clickhouse()
|
||||
|
||||
# =====================================================
|
||||
# QUERY
|
||||
@@ -327,156 +326,214 @@ try:
|
||||
WHERE Project_Id = {PROJECT_ID}
|
||||
"""
|
||||
|
||||
print("\nExecuting Query:")
|
||||
print("\nExecuting Query")
|
||||
print(query)
|
||||
|
||||
# =====================================================
|
||||
# CHUNK SIZE
|
||||
# RETRY SETTINGS
|
||||
# =====================================================
|
||||
chunk_size = 100000
|
||||
|
||||
total_rows = 0
|
||||
retry_count = 0
|
||||
max_retry = 5
|
||||
|
||||
# =====================================================
|
||||
# READ DATA
|
||||
# MAIN RETRY LOOP
|
||||
# =====================================================
|
||||
for chunk in pd.read_sql(
|
||||
query,
|
||||
sql_conn,
|
||||
chunksize=chunk_size
|
||||
):
|
||||
while retry_count < max_retry:
|
||||
|
||||
try:
|
||||
|
||||
# =============================================
|
||||
# READ SQL DATA
|
||||
# =============================================
|
||||
for chunk in pd.read_sql(
|
||||
query,
|
||||
sql_conn,
|
||||
chunksize=chunk_size
|
||||
):
|
||||
|
||||
try:
|
||||
|
||||
print("\n================================")
|
||||
print(
|
||||
f"Processing Rows : "
|
||||
f"{len(chunk)}"
|
||||
)
|
||||
print("================================")
|
||||
|
||||
# =====================================
|
||||
# CLEAN DATA
|
||||
# =====================================
|
||||
chunk = clean_dataframe(chunk)
|
||||
|
||||
# =====================================
|
||||
# DEBUG COLUMN TYPES
|
||||
# =====================================
|
||||
print("\nCOLUMN DATATYPES")
|
||||
print(chunk.dtypes)
|
||||
|
||||
print("\nCOLUMN SAMPLE TYPES")
|
||||
|
||||
for col in chunk.columns:
|
||||
|
||||
sample = chunk[col].dropna()
|
||||
|
||||
if len(sample) > 0:
|
||||
|
||||
print(
|
||||
col,
|
||||
type(sample.iloc[0]),
|
||||
sample.iloc[0]
|
||||
)
|
||||
|
||||
# =====================================
|
||||
# TRUNCATE TABLE FIRST TIME ONLY
|
||||
# =====================================
|
||||
if (
|
||||
TRUNCATE_BEFORE_LOAD
|
||||
and
|
||||
not table_truncated
|
||||
):
|
||||
|
||||
print("\n================================")
|
||||
print(
|
||||
f"TRUNCATING TABLE : "
|
||||
f"{TABLE_NAME}"
|
||||
)
|
||||
print("================================")
|
||||
|
||||
# IMPORTANT FIX
|
||||
truncate_query = f"""
|
||||
TRUNCATE TABLE
|
||||
`{CH_CONFIG['database']}`.`{TABLE_NAME}`
|
||||
"""
|
||||
|
||||
ch_client.command(
|
||||
truncate_query
|
||||
)
|
||||
|
||||
print(
|
||||
"TABLE TRUNCATED SUCCESSFULLY"
|
||||
)
|
||||
|
||||
table_truncated = True
|
||||
|
||||
# =====================================
|
||||
# INSERT INTO CLICKHOUSE
|
||||
# =====================================
|
||||
print(
|
||||
"\nINSERTING INTO CLICKHOUSE..."
|
||||
)
|
||||
|
||||
ch_client.insert_df(
|
||||
table=TABLE_NAME,
|
||||
df=chunk,
|
||||
database=CH_CONFIG['database']
|
||||
)
|
||||
|
||||
print(
|
||||
f"INSERTED : "
|
||||
f"{len(chunk)} ROWS"
|
||||
)
|
||||
|
||||
except Exception as insert_error:
|
||||
|
||||
print("\n================================")
|
||||
print("INSERT FAILED")
|
||||
print("================================")
|
||||
|
||||
print(str(insert_error))
|
||||
|
||||
traceback.print_exc()
|
||||
|
||||
# =================================
|
||||
# SAVE ERROR LOG
|
||||
# =================================
|
||||
with open(
|
||||
"insert_error.log",
|
||||
"a",
|
||||
encoding="utf-8"
|
||||
) as log:
|
||||
|
||||
log.write(
|
||||
"\n\n================================"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTIME : "
|
||||
f"{datetime.now()}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTABLE : "
|
||||
f"{TABLE_NAME}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nERROR : "
|
||||
f"{str(insert_error)}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTRACEBACK :\n"
|
||||
f"{traceback.format_exc()}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
"\n================================"
|
||||
)
|
||||
|
||||
continue
|
||||
|
||||
# =============================================
|
||||
# SUCCESS
|
||||
# =============================================
|
||||
break
|
||||
|
||||
# =================================================
|
||||
# SQL CONNECTION FAILURE
|
||||
# =================================================
|
||||
except pyodbc.OperationalError as op_error:
|
||||
|
||||
retry_count += 1
|
||||
|
||||
print("\n================================")
|
||||
print(f"Processing {len(chunk)} Rows")
|
||||
print("================================")
|
||||
|
||||
# =================================================
|
||||
# CLEAN DATA
|
||||
# =================================================
|
||||
chunk = clean_dataframe(chunk)
|
||||
|
||||
# =================================================
|
||||
# DEBUG COLUMN TYPES
|
||||
# =================================================
|
||||
print("\nCOLUMN TYPES")
|
||||
|
||||
for col in chunk.columns:
|
||||
|
||||
sample = chunk[col].dropna()
|
||||
|
||||
if len(sample) > 0:
|
||||
|
||||
print(
|
||||
col,
|
||||
type(sample.iloc[0]),
|
||||
sample.iloc[0]
|
||||
)
|
||||
|
||||
# =================================================
|
||||
# DEBUG DATE COLUMN
|
||||
# =================================================
|
||||
if 'visit_date' in chunk.columns:
|
||||
|
||||
print("\nvisit_date Sample")
|
||||
print(chunk['visit_date'].head())
|
||||
|
||||
sample = chunk['visit_date'].dropna()
|
||||
|
||||
if len(sample) > 0:
|
||||
|
||||
print(
|
||||
"visit_date datatype:",
|
||||
type(sample.iloc[0])
|
||||
)
|
||||
|
||||
# =================================================
|
||||
# TRUNCATE TABLE FIRST TIME ONLY
|
||||
# =================================================
|
||||
if TRUNCATE_BEFORE_LOAD and not table_truncated:
|
||||
|
||||
print("\n================================")
|
||||
print(f"TRUNCATING TABLE : {TABLE_NAME}")
|
||||
print("================================")
|
||||
|
||||
truncate_query = f"""
|
||||
TRUNCATE TABLE
|
||||
{CH_CONFIG['database']}.{TABLE_NAME}
|
||||
"""
|
||||
|
||||
ch_client.command(truncate_query)
|
||||
|
||||
print("TABLE TRUNCATED SUCCESSFULLY")
|
||||
|
||||
table_truncated = True
|
||||
|
||||
# =================================================
|
||||
# INSERT INTO CLICKHOUSE
|
||||
# =================================================
|
||||
print("\nInserting into ClickHouse...")
|
||||
|
||||
ch_client.insert_df(
|
||||
table=TABLE_NAME,
|
||||
df=chunk,
|
||||
database=CH_CONFIG['database']
|
||||
)
|
||||
|
||||
total_rows += len(chunk)
|
||||
|
||||
print(
|
||||
f"\nInserted Total Rows : {total_rows}"
|
||||
f"SQL CONNECTION LOST "
|
||||
f"- RETRY {retry_count}"
|
||||
)
|
||||
|
||||
except Exception as chunk_error:
|
||||
|
||||
print("\n================================")
|
||||
print("CHUNK INSERT FAILED")
|
||||
print("================================")
|
||||
|
||||
print(str(chunk_error))
|
||||
print(str(op_error))
|
||||
|
||||
time.sleep(10)
|
||||
|
||||
try:
|
||||
|
||||
sql_conn.close()
|
||||
|
||||
except:
|
||||
pass
|
||||
|
||||
# RECONNECT SQL
|
||||
sql_conn = connect_sql()
|
||||
|
||||
# =================================================
|
||||
# OTHER ERROR
|
||||
# =================================================
|
||||
except Exception as loop_error:
|
||||
|
||||
print("\n================================")
|
||||
print("MAIN LOOP ERROR")
|
||||
print("================================")
|
||||
|
||||
print(str(loop_error))
|
||||
|
||||
traceback.print_exc()
|
||||
|
||||
# =============================================
|
||||
# SAVE ERROR LOG
|
||||
# =============================================
|
||||
with open(
|
||||
"clickhouse_chunk_error.log",
|
||||
"a",
|
||||
encoding="utf-8"
|
||||
) as log:
|
||||
|
||||
log.write(
|
||||
"\n\n================================"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTIME : {datetime.now()}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTABLE : {TABLE_NAME}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nERROR : {str(chunk_error)}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
f"\nTRACEBACK :\n"
|
||||
f"{traceback.format_exc()}"
|
||||
)
|
||||
|
||||
log.write(
|
||||
"\n================================"
|
||||
)
|
||||
|
||||
continue
|
||||
break
|
||||
|
||||
print("\n================================")
|
||||
print("ETL COMPLETED SUCCESSFULLY")
|
||||
print(f"TOTAL ROWS INSERTED : {total_rows}")
|
||||
print("================================")
|
||||
|
||||
# =========================================================
|
||||
@@ -493,7 +550,7 @@ except Exception as main_error:
|
||||
traceback.print_exc()
|
||||
|
||||
with open(
|
||||
"clickhouse_main_error.log",
|
||||
"main_error.log",
|
||||
"a",
|
||||
encoding="utf-8"
|
||||
) as log:
|
||||
@@ -528,7 +585,7 @@ finally:
|
||||
|
||||
sql_conn.close()
|
||||
|
||||
print("\nSQL Server Connection Closed")
|
||||
print("\nSQL SERVER CONNECTION CLOSED")
|
||||
|
||||
except:
|
||||
pass
|
||||
@@ -537,9 +594,11 @@ finally:
|
||||
|
||||
ch_client.close()
|
||||
|
||||
print("ClickHouse Connection Closed")
|
||||
print("CLICKHOUSE CONNECTION CLOSED")
|
||||
|
||||
except:
|
||||
pass
|
||||
|
||||
print("\nETL Finished :", datetime.now())
|
||||
print("\n================================================")
|
||||
print("ETL FINISHED :", datetime.now())
|
||||
print("================================================")
|
||||
|
||||
@@ -13246,3 +13246,278 @@ Traceback (most recent call last):
|
||||
clickhouse_connect.driver.exceptions.OperationalError: Error HTTPConnectionPool(host='172.188.12.194', port=8123): Max retries exceeded with url: /?date_time_input_format=best_effort&cast_string_to_dynamic_use_inference=1&session_id=1cd3ec5f-e757-424a-b309-e62e27c757e0&cancel_http_readonly_queries_on_client_close=1&wait_end_of_query=1&send_progress_in_http_headers=1&http_headers_progress_interval_ms=120000&database=DaburIndia_BI&client_protocol_version=54405&query_id=f9e2d350-eb1c-4dc0-b2cf-c3f4def4df83 (Caused by NewConnectionError("HTTPConnection(host='172.188.12.194', port=8123): Failed to establish a new connection: [WinError 10065] A socket operation was attempted to an unreachable host")) executing HTTP request attempt 1 (http://172.188.12.194:8123)
|
||||
|
||||
================================
|
||||
|
||||
================================
|
||||
TIME : 2026-05-20 13:42:49.425356
|
||||
TABLE : PaidVisibility
|
||||
ERROR : Invalid None value in non-Nullable column, column name: `update_by`
|
||||
TRACEBACK :
|
||||
Traceback (most recent call last):
|
||||
File "d:\Python Code\PaidVisibility_Import.py", line 427, in <module>
|
||||
ch_client.insert_df(
|
||||
~~~~~~~~~~~~~~~~~~~^
|
||||
table=TABLE_NAME,
|
||||
^^^^^^^^^^^^^^^^^
|
||||
df=chunk,
|
||||
^^^^^^^^^
|
||||
database=CH_CONFIG['database']
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
)
|
||||
^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 1013, in insert_df
|
||||
return self.insert(table,
|
||||
~~~~~~~~~~~^^^^^^^
|
||||
df,
|
||||
^^^
|
||||
...<5 lines>...
|
||||
transport_settings=transport_settings,
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
context=context)
|
||||
^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 978, in insert
|
||||
return self.data_insert(context)
|
||||
~~~~~~~~~~~~~~~~^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 347, in data_insert
|
||||
response = self._raw_request(block_gen, params, headers, error_handler=error_handler, server_wait=False)
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 569, in _raw_request
|
||||
error_handler(response)
|
||||
~~~~~~~~~~~~~^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 331, in error_handler
|
||||
raise ex
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\transform.py", line 114, in chunk_gen
|
||||
col_type.write_column(data, output, context)
|
||||
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 216, in write_column
|
||||
self.write_column_data(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 231, in write_column_data
|
||||
self._write_column_binary(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\string.py", line 51, in _write_column_binary
|
||||
handle_error(data_conv.write_str_col(column, self.nullable, encoding, dest), ctx)
|
||||
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\errors.py", line 17, in handle_error
|
||||
raise DataError(msg)
|
||||
clickhouse_connect.driver.exceptions.DataError: Invalid None value in non-Nullable column, column name: `update_by`
|
||||
|
||||
================================
|
||||
|
||||
================================
|
||||
TIME : 2026-05-20 13:42:52.853981
|
||||
TABLE : PaidVisibility
|
||||
ERROR : Invalid None value in non-Nullable column, column name: `update_by`
|
||||
TRACEBACK :
|
||||
Traceback (most recent call last):
|
||||
File "d:\Python Code\PaidVisibility_Import.py", line 427, in <module>
|
||||
ch_client.insert_df(
|
||||
~~~~~~~~~~~~~~~~~~~^
|
||||
table=TABLE_NAME,
|
||||
^^^^^^^^^^^^^^^^^
|
||||
df=chunk,
|
||||
^^^^^^^^^
|
||||
database=CH_CONFIG['database']
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
)
|
||||
^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 1013, in insert_df
|
||||
return self.insert(table,
|
||||
~~~~~~~~~~~^^^^^^^
|
||||
df,
|
||||
^^^
|
||||
...<5 lines>...
|
||||
transport_settings=transport_settings,
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
context=context)
|
||||
^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 978, in insert
|
||||
return self.data_insert(context)
|
||||
~~~~~~~~~~~~~~~~^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 347, in data_insert
|
||||
response = self._raw_request(block_gen, params, headers, error_handler=error_handler, server_wait=False)
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 569, in _raw_request
|
||||
error_handler(response)
|
||||
~~~~~~~~~~~~~^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 331, in error_handler
|
||||
raise ex
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\transform.py", line 114, in chunk_gen
|
||||
col_type.write_column(data, output, context)
|
||||
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 216, in write_column
|
||||
self.write_column_data(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 231, in write_column_data
|
||||
self._write_column_binary(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\string.py", line 51, in _write_column_binary
|
||||
handle_error(data_conv.write_str_col(column, self.nullable, encoding, dest), ctx)
|
||||
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\errors.py", line 17, in handle_error
|
||||
raise DataError(msg)
|
||||
clickhouse_connect.driver.exceptions.DataError: Invalid None value in non-Nullable column, column name: `update_by`
|
||||
|
||||
================================
|
||||
|
||||
================================
|
||||
TIME : 2026-05-20 13:42:55.690001
|
||||
TABLE : PaidVisibility
|
||||
ERROR : Invalid None value in non-Nullable column, column name: `update_by`
|
||||
TRACEBACK :
|
||||
Traceback (most recent call last):
|
||||
File "d:\Python Code\PaidVisibility_Import.py", line 427, in <module>
|
||||
ch_client.insert_df(
|
||||
~~~~~~~~~~~~~~~~~~~^
|
||||
table=TABLE_NAME,
|
||||
^^^^^^^^^^^^^^^^^
|
||||
df=chunk,
|
||||
^^^^^^^^^
|
||||
database=CH_CONFIG['database']
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
)
|
||||
^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 1013, in insert_df
|
||||
return self.insert(table,
|
||||
~~~~~~~~~~~^^^^^^^
|
||||
df,
|
||||
^^^
|
||||
...<5 lines>...
|
||||
transport_settings=transport_settings,
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
context=context)
|
||||
^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 978, in insert
|
||||
return self.data_insert(context)
|
||||
~~~~~~~~~~~~~~~~^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 347, in data_insert
|
||||
response = self._raw_request(block_gen, params, headers, error_handler=error_handler, server_wait=False)
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 569, in _raw_request
|
||||
error_handler(response)
|
||||
~~~~~~~~~~~~~^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 331, in error_handler
|
||||
raise ex
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\transform.py", line 114, in chunk_gen
|
||||
col_type.write_column(data, output, context)
|
||||
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 216, in write_column
|
||||
self.write_column_data(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 231, in write_column_data
|
||||
self._write_column_binary(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\string.py", line 51, in _write_column_binary
|
||||
handle_error(data_conv.write_str_col(column, self.nullable, encoding, dest), ctx)
|
||||
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\errors.py", line 17, in handle_error
|
||||
raise DataError(msg)
|
||||
clickhouse_connect.driver.exceptions.DataError: Invalid None value in non-Nullable column, column name: `update_by`
|
||||
|
||||
================================
|
||||
|
||||
================================
|
||||
TIME : 2026-05-20 13:42:58.818786
|
||||
TABLE : PaidVisibility
|
||||
ERROR : Invalid None value in non-Nullable column, column name: `update_by`
|
||||
TRACEBACK :
|
||||
Traceback (most recent call last):
|
||||
File "d:\Python Code\PaidVisibility_Import.py", line 427, in <module>
|
||||
ch_client.insert_df(
|
||||
~~~~~~~~~~~~~~~~~~~^
|
||||
table=TABLE_NAME,
|
||||
^^^^^^^^^^^^^^^^^
|
||||
df=chunk,
|
||||
^^^^^^^^^
|
||||
database=CH_CONFIG['database']
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
)
|
||||
^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 1013, in insert_df
|
||||
return self.insert(table,
|
||||
~~~~~~~~~~~^^^^^^^
|
||||
df,
|
||||
^^^
|
||||
...<5 lines>...
|
||||
transport_settings=transport_settings,
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
context=context)
|
||||
^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 978, in insert
|
||||
return self.data_insert(context)
|
||||
~~~~~~~~~~~~~~~~^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 347, in data_insert
|
||||
response = self._raw_request(block_gen, params, headers, error_handler=error_handler, server_wait=False)
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 569, in _raw_request
|
||||
error_handler(response)
|
||||
~~~~~~~~~~~~~^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 331, in error_handler
|
||||
raise ex
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\transform.py", line 114, in chunk_gen
|
||||
col_type.write_column(data, output, context)
|
||||
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 216, in write_column
|
||||
self.write_column_data(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 231, in write_column_data
|
||||
self._write_column_binary(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\string.py", line 51, in _write_column_binary
|
||||
handle_error(data_conv.write_str_col(column, self.nullable, encoding, dest), ctx)
|
||||
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\errors.py", line 17, in handle_error
|
||||
raise DataError(msg)
|
||||
clickhouse_connect.driver.exceptions.DataError: Invalid None value in non-Nullable column, column name: `update_by`
|
||||
|
||||
================================
|
||||
|
||||
================================
|
||||
TIME : 2026-05-20 13:43:02.036478
|
||||
TABLE : PaidVisibility
|
||||
ERROR : Invalid None value in non-Nullable column, column name: `update_by`
|
||||
TRACEBACK :
|
||||
Traceback (most recent call last):
|
||||
File "d:\Python Code\PaidVisibility_Import.py", line 427, in <module>
|
||||
ch_client.insert_df(
|
||||
~~~~~~~~~~~~~~~~~~~^
|
||||
table=TABLE_NAME,
|
||||
^^^^^^^^^^^^^^^^^
|
||||
df=chunk,
|
||||
^^^^^^^^^
|
||||
database=CH_CONFIG['database']
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
)
|
||||
^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 1013, in insert_df
|
||||
return self.insert(table,
|
||||
~~~~~~~~~~~^^^^^^^
|
||||
df,
|
||||
^^^
|
||||
...<5 lines>...
|
||||
transport_settings=transport_settings,
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
context=context)
|
||||
^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\client.py", line 978, in insert
|
||||
return self.data_insert(context)
|
||||
~~~~~~~~~~~~~~~~^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 347, in data_insert
|
||||
response = self._raw_request(block_gen, params, headers, error_handler=error_handler, server_wait=False)
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 569, in _raw_request
|
||||
error_handler(response)
|
||||
~~~~~~~~~~~~~^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\httpclient.py", line 331, in error_handler
|
||||
raise ex
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\transform.py", line 114, in chunk_gen
|
||||
col_type.write_column(data, output, context)
|
||||
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 216, in write_column
|
||||
self.write_column_data(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\base.py", line 231, in write_column_data
|
||||
self._write_column_binary(column, dest, ctx)
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\datatypes\string.py", line 51, in _write_column_binary
|
||||
handle_error(data_conv.write_str_col(column, self.nullable, encoding, dest), ctx)
|
||||
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "C:\Users\dipanshuk\AppData\Local\Python\pythoncore-3.14-64\Lib\site-packages\clickhouse_connect\driver\errors.py", line 17, in handle_error
|
||||
raise DataError(msg)
|
||||
clickhouse_connect.driver.exceptions.DataError: Invalid None value in non-Nullable column, column name: `update_by`
|
||||
|
||||
================================
|
||||
Reference in New Issue
Block a user