使用Python Cassandra模块的参数化查询 [英] Parameterized queries with the Python Cassandra Module

问题描述

我一直在试用Python的CQL外挂程式（ http://code.google.com/a/apache-extras.org/p/cassandra-dbapi2/ ），它支持参数化查询。从他们的文档：

I've been experimenting with the CQL plugin for Python (http://code.google.com/a/apache-extras.org/p/cassandra-dbapi2/) which has support for parameterized queries. From their documentation:

import cql
connection = cql.connect(host, port, keyspace)
cursor = connection.cursor()
cursor.execute("CQL QUERY", dict(kw='Foo', kw2='Bar', etc...))

我的问题是它是否可以在循环中多次参数化和执行同一查询，以及什么样的方法来完成。抱歉，文档很少，所以我正在搜索一个答案...

My question is whether its possible to parameterize and execute the same query multiple times in a loop, and what the methods look like to accomplish that. Sorry but documentation is scant so I'm searching about for an answer...

推荐答案

a href =http://code.google.com/a/apache-extras.org/p/cassandra-dbapi2/source/browse/#git/test =nofollow>测试了解更多示例

Take a look at the code in tests for more examples

import cql
connection = cql.connect(host, port, keyspace)
cursor = connection.cursor()

query = "UPDATE StandardString1 SET :c1 = :v1, :c2 = :v2 WHERE KEY = :key"
cursor.execute(query, dict(c1="ca1", v1="va1", c2="col", v2="val", key="ka"))
cursor.execute(query, dict(c1="cb1", v1="vb1", c2="col", v2="val", key="kb"))
cursor.execute(query, dict(c1="cc1", v1="vc1", c2="col", v2="val", key="kc"))
cursor.execute(query, dict(c1="cd1", v1="vd1", c2="col", v2="val", key="kd"))

或更具体地说， / p>

Or more specifically to your question about running it in a loop:

import cql
connection = cql.connect(host, port, keyspace)
cursor = connection.cursor()

query = "UPDATE StandardString1 SET :c1 = :v1, :c2 = :v2 WHERE KEY = :key"
values = [dict(c1="ca1", v1="va1", c2="col", v2="val", key="ka"),
          dict(c1="cb1", v1="vb1", c2="col", v2="val", key="kb"),
          dict(c1="cc1", v1="vc1", c2="col", v2="val", key="kc"),
          dict(c1="cd1", v1="vd1", c2="col", v2="val", key="kd")]

for value in values:
    cursor.execute(query, value)

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