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()

我使用的解决方案可以在1毫秒内插入8000条记录

curtime = datetime.datetime.now()
postData = dict()
postData["title"] = "This is Title Text"
postData["body"] = "This a Body Text it Can be Long Text"
postData['created_at'] = curtime.isoformat()
postData['updated_at'] = curtime.isoformat()
data = []
for x in range(8000):
    data.append(((postData)))
vals = []
for d in postData:
    vals.append(tuple(d.values())) #Here we extract the Values from the Dict
flds = ",".join(map(str, postData[0]))
tableFlds =  ",".join(map(str, vals))
sqlStr = f"INSERT INTO posts ({flds}) VALUES {tableFlds}"
db.execute(sqlStr)
connection.commit()
rowsAffected = db.rowcount
print(f'{rowsAffected} Rows Affected')

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()

游标。copy_from是迄今为止我发现的用于批量插入的最快解决方案。下面是我做的一个要点，包含一个名为IteratorFile的类，它允许迭代器产生的字符串像文件一样读取。我们可以使用生成器表达式将每个输入记录转换为字符串。所以解是

args = [(1,2), (3,4), (5,6)]
f = IteratorFile(("{}\t{}".format(x[0], x[1]) for x in args))
cursor.copy_from(f, 'table_name', columns=('a', 'b'))

对于这种微不足道的参数大小，它不会产生太大的速度差异，但当处理数千行以上时，我看到了很大的加速。它也比构建一个巨大的查询字符串更节省内存。迭代器一次只能在内存中保存一条输入记录，在某些时候，在Python进程或Postgres中构建查询字符串会耗尽内存。

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) 

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;)