创建一个表，并拥有用于在CSV文件中创建表所需的列。

打开postgres，右键单击要加载的目标表。在文件选项部分中选择导入和更新以下步骤 现在浏览文件查找文件名 选择CSV格式 编码为ISO_8859_5

现在去Misc。选项。检查标题并单击导入。

在Python中，你可以使用这段代码自动创建带有列名的PostgreSQL表:

import pandas, csv

from io import StringIO
from sqlalchemy import create_engine

def psql_insert_copy(table, conn, keys, data_iter):
    dbapi_conn = conn.connection
    with dbapi_conn.cursor() as cur:
        s_buf = StringIO()
        writer = csv.writer(s_buf)
        writer.writerows(data_iter)
        s_buf.seek(0)
        columns = ', '.join('"{}"'.format(k) for k in keys)
        if table.schema:
            table_name = '{}.{}'.format(table.schema, table.name)
        else:
            table_name = table.name
        sql = 'COPY {} ({}) FROM STDIN WITH CSV'.format(table_name, columns)
        cur.copy_expert(sql=sql, file=s_buf)

engine = create_engine('postgresql://user:password@localhost:5432/my_db')

df = pandas.read_csv("my.csv")
df.to_sql('my_table', engine, schema='my_schema', method=psql_insert_copy)

它的速度也相对较快。我可以在大约4分钟内导入330多万行。

如果文件不是很大，可以使用Pandas库。

在Pandas数据框架上使用iter时要小心。我这样做是为了证明这种可能性。当从数据帧复制到SQL表时，也可以考虑使用pd.Dataframe.to_sql()函数。

假设你已经创建了你想要的表，你可以:

import psycopg2
import pandas as pd
data=pd.read_csv(r'path\to\file.csv', delimiter=' ')

#prepare your data and keep only relevant columns

data.drop(['col2', 'col4','col5'], axis=1, inplace=True)
data.dropna(inplace=True)
print(data.iloc[:3])


conn=psycopg2.connect("dbname=db user=postgres password=password")
cur=conn.cursor()

for index,row in data.iterrows():
      cur.execute('''insert into table (col1,col3,col6)
    VALUES (%s,%s,%s)''', (row['col1'], row['col3'], row['col6'])

cur.close()
conn.commit()

conn.close()
print('\n db connection closed.')

使用下面的SQL代码:

copy table_name(atribute1,attribute2,attribute3...)
from 'E:\test.csv' delimiter ',' csv header

header关键字让DBMS知道CSV文件有一个带有属性的头。

欲了解更多信息，请访问导入CSV文件到PostgreSQL表。

如何将CSV文件数据导入PostgreSQL表

步骤:

Need to connect a PostgreSQL database in the terminal psql -U postgres -h localhost Need to create a database create database mydb; Need to create a user create user siva with password 'mypass'; Connect with the database \c mydb; Need to create a schema create schema trip; Need to create a table create table trip.test(VendorID int,passenger_count int,trip_distance decimal,RatecodeID int,store_and_fwd_flag varchar,PULocationID int,DOLocationID int,payment_type decimal,fare_amount decimal,extra decimal,mta_tax decimal,tip_amount decimal,tolls_amount int,improvement_surcharge decimal,total_amount ); Import csv file data to postgresql COPY trip.test(VendorID int,passenger_count int,trip_distance decimal,RatecodeID int,store_and_fwd_flag varchar,PULocationID int,DOLocationID int,payment_type decimal,fare_amount decimal,extra decimal,mta_tax decimal,tip_amount decimal,tolls_amount int,improvement_surcharge decimal,total_amount) FROM '/home/Documents/trip.csv' DELIMITER ',' CSV HEADER; Find the given table data select * from trip.test;

DBeaver社区版(DBeaver .io)使得连接到数据库，然后导入CSV文件上传到PostgreSQL数据库变得很简单。它还可以方便地发出查询、检索数据以及将结果集下载为CSV、JSON、SQL或其他常见数据格式。

它是一个面向SQL程序员、dba和分析师的自由/开源多平台数据库工具，支持所有流行的数据库:MySQL、PostgreSQL、SQLite、Oracle、DB2、SQL Server、Sybase、MS Access、Teradata、Firebird、Hive、Presto等。对于Postgres的TOAD, SQL Server的TOAD，或者Oracle的TOAD，它是一个可行的自由/开源软件竞争对手。

I have no affiliation with DBeaver. I love the price (FREE!) and full functionality, but I wish they would open up this DBeaver/Eclipse application more and make it easy to add analytics widgets to DBeaver / Eclipse, rather than requiring users to pay for the $199 annual subscription just to create graphs and charts directly within the application. My Java coding skills are rusty and I don't feel like taking weeks to relearn how to build Eclipse widgets, (only to find that DBeaver has probably disabled the ability to add third-party widgets to the DBeaver Community Edition.)