在将CSV数据复制到包含额外列值的表中时,可以使用Psycopg2的COPY命令来实现。COPY命令是PostgreSQL数据库提供的一种高效的数据导入和导出方法。它可以将数据从文件中复制到数据库表中,同时还可以指定额外的列值。 Psycopg2提供了一个copy_from()方法,可以用于将CSV数据复制到数据库表中。该方法接受一个文件对...
在示例类Demo.FileDemo中,ProcessFile()方法接受输入文件和输出文件,并调用SetUpInputFile()和SetUp...
def copy_from_file(df: pd.DataFrame, table: str = "recommendations") -> None: """ Here we are going save the dataframe on disk as a csv file, load the csv file and use copy_from() to copy it to the table """然后我仍然得到这个问题,error: extra data after last expected column ...
importpsycopg2 conn=psycopg2.connect(host="localhost",database="mydb",user="user",password="pass")cur=conn.cursor()cur.execute(""" COPY my_table FROM 'localhost:5432'::my_other_table TO 'localhost:5432'::target_table WITH (FORMAT csv, HEADER true, DELIMITER ',', QUOTE '"', ESCAPE '...
df.to_csv(fp, sep='&', index=False, header=False) value = fp.getvalue() conn = self.gp_connect() cur = conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) cur.copy_from(StringIO(value), tablename, sep="&", columns=['col1', 'col2', 'col3', 'col4']) ...
df.to_csv(output, sep='\t', index=False, header=False,columns=cols) stime=time.clock() with cnyb.cursor() as cur: cur.copy_from(output, tbl) cnyb.commit() etime=time.clock() LOG.debug("insert over,insert sends=%s"%(etime-stime)) ...
df.to_csv(output,sep='\t',index=False,header=False) #使文件定位到第一个字符 output.seek(0) try: conn=psycopg2.connect(database=db,**conf["postgres"]) cur=conn.cursor() cur.copy_from(output,table,null='') conn.commit() result=cur.rowcount ...
df.to_csv(output, sep='\t', index=False, header=False,columns=cols) stime=time.clock() with cnyb.cursor() as cur: cur.copy_from(output, tbl) cnyb.commit() etime=time.clock() LOG.debug("insert over,insert sends=%s"%(etime-stime)) ...
f = open('cars.csv', 'r') cur.copy_from(f, 'cars', sep="|") con.commit() except psycopg2.DatabaseError as e: if con: con.rollback() print(f'Error {e}') sys.exit(1) except IOError as e: if con: con.rollback()
Strangely what does work is exporting the pandas dataframes to separate csv files first and append them individually to the postgres table like so: for file in glob.glob("*.csv"): with open(file, 'r') as f: next(f) cur.copy_from(f, "my_table", columns=('column1','column2','...