Parametersĭatabase ( path-like object) – The path to the database file to be opened. connect ( database, timeout = 5.0, detect_types = 0, isolation_level = 'DEFERRED', check_same_thread = True, factory = sqlite3.Connection, cached_statements = 128, uri = False ) ¶
SQLITE LIST TABLES PYTHON HOW TO
How to use the connection context managerĮxplanation for in-depth background on transaction control. How to convert SQLite values to custom Python types How to adapt custom Python types to SQLite values Return any(isinstance(t, Function) for t in identifier.How to use placeholders to bind values in SQL queries If item.ttype is DML and () in ('SELECT', 'INSERT', Return self.name is not None and self.alias is not None and not full_name(self): Return self.name is None and self.alias is not is_table_alias(self): Return self.alias is not is_query_alias(self): # csv.DictReader uses first line in file for column headings by defaultĬur.execute(f"CREATE TABLE ")ĭf = pd.read_csv(path, sep=sep, engine="python") # set engine to python to skip pandas' warningĭf.to_sql(table, n, if_exists='replace', index=False, chunksize=10000)ĭef query(self, query: str) -> List:įrom sqlparse.sql import IdentifierList, Identifier, FunctionĬlass Reference(namedtuple('Reference', )): With open(each, 'r') as fin: # `with` statement available in 2.5+ """Utility to find files wrt a regex search"""ĭatabase_Path = os.path.join(DATABASE_FOLDER, DBNAME)Ĭsv_files = find('*.csv', DATABASE_FOLDER)
"""Returns the basename of the file without the extension"""įilename = os.path.splitext(os.path.basename(givenPath)) Stmt = "INSERT INTO ads VALUES(%s) " % ','.join('?' * len(cols))ĭATABASE_FOLDER = os.path.join(UP_FOLDER, "Databases") Reader = csv.reader(escapingGenerator(fin)) Stmt = "CREATE TABLE ads (%s)" % ",".join(cols) # Keep the order of the columns name just as in the CSV With open(csvFile,mode='r', encoding="ISO-8859-1") as fin: Yield line.encode("ascii", "xmlcharrefreplace").decode("ascii")ĭef csvToDb(csvFile, outputToFile = False): Raise Exception("Failed to find all the columns data types - Maybe some are empty?") # TODO: Currently there's no support for DATE in sqllite My 2 cents (more generic): import csv, sqlite3ĭr = csv.DictReader(fin) # comma is default delimiterįeildslLeft = With open(str(csv)+"_nohead", "w") as target: Again, I didn't want to read the whole files into memory at any point: with open(csv, "r") as source: Not really the main point of the question, but here's what I used.
SQLITE LIST TABLES PYTHON WINDOWS
Unfortunately, since subprocess passes all follow-ons to -cmd as quoted strings, you need to double up your backslashes if you have a windows directory path. In the shell, each command has to be in quotes, but here, they just need to be their own element of the sequence -cmd flag after the database allows you to pass multiple follow on commands to the sqlite program.The argument to n() is a sequence of strings which are interpreted as a command followed by all of it's arguments. The -skip 1 argument will give an error prior to 3.32įrom the command line, the command you're looking for is sqlite3 my.db -cmd ".mode csv" ".import file.csv table".
If you have an older version of sqlite3, you may need to first create the table, then strip off the first row of the csv before importing. import command has improved so that it can treat the first row as header names or even skip the first x rows (requires version >=3.32, as noted in this answer. In the example below, I assume the table already exists, but the csv file has headers in the first row.
A lot of the top answers to this question involve native python loops, but if your files are large (mine are 10^6 to 10^7 records), you want to avoid reading everything into pandas or using a native python list comprehension/loop (though I did not time them for comparison).įor large files, I believe the best option is to use n() to execute sqlite's import command. import is the way to go, but that's a command from the SQLite3 command line program.
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