Python 带有CLOB的cx_Oracle executemany

我正在尝试解析多个CSV，并使用cx_Oracle将其数据插入表中。我使用execute插入到表中没有问题，但是当我使用executemany尝试相同的过程时，我得到了一个错误。我使用execute的代码是

with open(key,'r') as file:
    for line in file:
        data = data.split(",")
        query = "INSERT INTO " + tables[key] + " VALUES ("
        for col in range(len(data)):
            query += ":" + str(col) + ","
        query = query[:-1] + ")"            
        cursor.execute(query, data)

但是当我用

with open(key,'r') as file:
    list = []
    for line in file:
        data = data.split(",")
        list.append(data)
    if len(list) > 0:
        query = "INSERT INTO " + tables[key] + " VALUES ("
        for col in range(len(data)):
            query += ":" + str(col) + ","
        query = query[:-1] + ")"            
        cursor.prepare(query)
        cursor.executemany(None,list)

---

当试图插入到包含CLOB列且数据超过4000字节的表中时，我得到了“ValueError:字符串数据太大”。当表没有CLOB列时，ExecuteMy非常有效。有什么方法可以让cx\U Oracle在执行命令时将相应的列视为CLOB吗？

尝试将大型列的输入大小设置为

cx\U Oracle.CLOB

。如果您有二进制数据，则可能不起作用，但应适用于

CSV

中的任何文本。

2K

值可能低于需要的值

请注意，当涉及

CLOB

列时，

executemany

似乎要慢得多，但仍优于重复执行：

def _executemany(cursor, sql, data):
    '''
    run the parameterized sql with the given dataset using cursor.executemany 
    if any column contains string values longer than 2k, use CLOBS to avoid "string
    too large" errors.

    @param sql parameterized sql, with parameters named according to the field names in data
    @param data array of dicts, one per row to execute.  each dict must have fields corresponding
                to the parameter names in sql
    '''
    input_sizes = {}
    for row in data:
        for k, v in row.items():
            if isinstance(v, basestring) and len(v) > 2000:
                input_sizes[k] = cx_Oracle.CLOB
    cursor.setinputsizes(**input_sizes)
    cursor.executemany(sql, data)