Created
August 13, 2018 13:20
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Get a CSV file from a SQL query using batches of 1000 lines
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| import sys | |
| import pyodbc as odbc | |
| import datetime | |
| dsn = sys.argv[1] | |
| query_file = sys.argv[2] | |
| csv_file = sys.argv[3] | |
| print(f'Connecting to {dsn}') | |
| print(f'Executing {query_file}') | |
| print(f'Saving to {csv_file}\n') | |
| conn = odbc.connect(dsn) | |
| cursor = conn.cursor() | |
| cursor.execute(open(query_file).read()) | |
| print('Query executed. Fetching results...\n') | |
| if sys.argv[4] == '--debug': print(cursor.description) | |
| counter = 0 | |
| with open(csv_file, 'w') as f: | |
| columns = list(zip(*cursor.description))[0] | |
| c_size = len(columns) | |
| data = {} | |
| for i, v in enumerate(columns): | |
| f.write(v) | |
| if i < c_size - 1: f.write(';') | |
| f.write('\n') | |
| while True: | |
| rows = cursor.fetchmany(1000) | |
| for row in rows: | |
| counter += 1 | |
| if not row: | |
| break | |
| else: | |
| for i, v in enumerate(columns): | |
| reg = row[i] | |
| if type(reg) == datetime.datetime: reg = reg.isoformat() | |
| data[v] = reg | |
| f.write(str(reg)) | |
| if i < c_size - 1: f.write(';') | |
| f.write('\n') | |
| if counter % 5000 == 0: | |
| sys.stdout.write(f'\rProcessing line {counter} of {cursor.rowcount}.') | |
| print('\nDone!\n') |
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