如果你想在一个insert语句中插入多行(假设你没有使用ORM)，到目前为止对我来说最简单的方法是使用字典列表。这里有一个例子:

 t = [{'id':1, 'start_date': '2015-07-19 00:00:00', 'end_date': '2015-07-20 00:00:00', 'campaignid': 6},
      {'id':2, 'start_date': '2015-07-19 00:00:00', 'end_date': '2015-07-20 00:00:00', 'campaignid': 7},
      {'id':3, 'start_date': '2015-07-19 00:00:00', 'end_date': '2015-07-20 00:00:00', 'campaignid': 8}]

conn.execute("insert into campaign_dates
             (id, start_date, end_date, campaignid) 
              values (%(id)s, %(start_date)s, %(end_date)s, %(campaignid)s);",
             t)

正如你所看到的，只会执行一个查询:

INFO sqlalchemy.engine.base.Engine insert into campaign_dates (id, start_date, end_date, campaignid) values (%(id)s, %(start_date)s, %(end_date)s, %(campaignid)s);
INFO sqlalchemy.engine.base.Engine [{'campaignid': 6, 'id': 1, 'end_date': '2015-07-20 00:00:00', 'start_date': '2015-07-19 00:00:00'}, {'campaignid': 7, 'id': 2, 'end_date': '2015-07-20 00:00:00', 'start_date': '2015-07-19 00:00:00'}, {'campaignid': 8, 'id': 3, 'end_date': '2015-07-20 00:00:00', 'start_date': '2015-07-19 00:00:00'}]
INFO sqlalchemy.engine.base.Engine COMMIT

所有这些技术在Postgres术语中都被称为“扩展插入”，截至2016年11月24日，它仍然比psychopg2的executemany()和这个线程中列出的所有其他方法快得多(在得到这个答案之前我尝试过)。

下面是一些不使用cur.mogrify的代码，很好，很简单:

valueSQL = [ '%s', '%s', '%s', ... ] # as many as you have columns.
sqlrows = []
rowsPerInsert = 3 # more means faster, but with diminishing returns..
for row in getSomeData:
        # row == [1, 'a', 'yolo', ... ]
        sqlrows += row
        if ( len(sqlrows)/len(valueSQL) ) % rowsPerInsert == 0:
                # sqlrows == [ 1, 'a', 'yolo', 2, 'b', 'swag', 3, 'c', 'selfie' ]
                insertSQL = 'INSERT INTO "twitter" VALUES ' + ','.join(['(' + ','.join(valueSQL) + ')']*rowsPerInsert)
                cur.execute(insertSQL, sqlrows)
                con.commit()
                sqlrows = []
insertSQL = 'INSERT INTO "twitter" VALUES ' + ','.join(['(' + ','.join(valueSQL) + ')']*len(sqlrows))
cur.execute(insertSQL, sqlrows)
con.commit()

但需要注意的是，如果可以使用copy_from()，则应该使用copy_from;)

使用aiopg -下面的代码段工作得非常好

    # items = [10, 11, 12, 13]
    # group = 1
    tup = [(gid, pid) for pid in items]
    args_str = ",".join([str(s) for s in tup])
    # insert into group values (1, 10), (1, 11), (1, 12), (1, 13)
    yield from cur.execute("INSERT INTO group VALUES " + args_str)

与psycopg2 2.7更新:

经典的executemany()比@ant32的实现(称为“折叠”)慢大约60倍，详见https://www.postgresql.org/message-id/20170130215151.GA7081%40deb76.aryehleib.com

这个实现在2.7版被添加到psycopg2中，称为execute_values():

from psycopg2.extras import execute_values
execute_values(cur,
    "INSERT INTO test (id, v1, v2) VALUES %s",
    [(1, 2, 3), (4, 5, 6), (7, 8, 9)])

之前的回答:

要插入多行，与execute()一起使用多行VALUES语法比使用psycopg2 executemany()快10倍左右。实际上，executemany()只是运行许多单独的INSERT语句。

@ant32的代码在Python 2中完美地工作。但在Python 3中，cursor.mogrify()返回字节，cursor.execute()接受字节或字符串，'，'.join()期望str实例。

所以在Python 3中，你可能需要修改@ant32的代码，添加.decode('utf-8'):

args_str = ','.join(cur.mogrify("(%s,%s,%s,%s,%s,%s,%s,%s,%s)", x).decode('utf-8') for x in tup)
cur.execute("INSERT INTO table VALUES " + args_str)

或者只使用bytes(带b"或b""):

args_bytes = b','.join(cur.mogrify("(%s,%s,%s,%s,%s,%s,%s,%s,%s)", x) for x in tup)
cur.execute(b"INSERT INTO table VALUES " + args_bytes) 

最后，在SQLalchemy1.2版本中，这个新实现被添加到使用psycopg2.extras.execute_batch()而不是executemany来初始化引擎时使用use_batch_mode=True，例如:

engine = create_engine(
    "postgresql+psycopg2://scott:tiger@host/dbname",
    use_batch_mode=True)

http://docs.sqlalchemy.org/en/latest/changelog/migration_12.html#change-4109

然后有人将不得不使用SQLalchmey不会费心尝试sqla和psycopg2和直接SQL的不同组合在一起。

从@ant32

def myInsertManyTuples(connection, table, tuple_of_tuples):
    cursor = connection.cursor()
    try:
        insert_len = len(tuple_of_tuples[0])
        insert_template = "("
        for i in range(insert_len):
            insert_template += "%s,"
        insert_template = insert_template[:-1] + ")"

        args_str = ",".join(
            cursor.mogrify(insert_template, x).decode("utf-8")
            for x in tuple_of_tuples
        )
        cursor.execute("INSERT INTO " + table + " VALUES " + args_str)
        connection.commit()

    except psycopg2.Error as e:
        print(f"psycopg2.Error in myInsertMany = {e}")
        connection.rollback()