Python导出SqlServerl数据字典为excel

sql代码

SELECT
	tableName = D.name ,
    tableIntroduce = isnull(F.value,
''),
    sort = A.colorder,
    fieldName = A.name,
        catogary = B.name,
        bytes = A.Length,
        lengths = COLUMNPROPERTY(A.id,
A.name,
'PRECISION'),
        scales = isnull(COLUMNPROPERTY(A.id,
A.name,
'Scale'),
0),
        isOrNotNull =
Case
	When A.isnullable = 1 Then '√'
	Else ''
End,
            primarays =
Case
	When exists(
	SELECT
		1
	FROM
		sysobjects
	Where
		xtype = 'PK'
		and parent_obj = A.id
		and name in (
		SELECT
			name
		FROM
			sysindexes
		WHERE
			indid in(
			SELECT
				indid
			FROM
				sysindexkeys
			WHERE
				id = A.id
				AND colid = A.colid))) then '√'
	else ''
end,
        defauts = isnull(E.Text,
''),
            annotations = isnull(G.[value],
'')
FROM
        syscolumns A
Left Join
        systypes B
    On
        A.xusertype = B.xusertype
Inner Join
        sysobjects D
        On
        A.id = D.id
and D.xtype = 'U'
and D.name <> 'dtproperties'
Left Join
        syscomments E
 on
        A.cdefault = E.id
Left Join
    sys.extended_properties G
    on
        A.id = G.major_id
and A.colid = G.minor_id
Left Join
    sys.extended_properties F
    On
        D.id=F.major_id and F.minor_id=0
        --where d.name='BigTable'    --如果只查询指定表,加上此条件
    Order By
        A.id,A.colorder

python 代码

#2023-01-29 22:30:35.660
#已通过
from datetime import datetime
import os
import pymssql as pymssql
import xlwt


def getData():
    connect = pymssql.connect('192.168.121.130', 'sa', 'Aa123456789', 'jiradb')
    if connect:
            print("连接成功!")
    cur = connect.cursor()
    query = """ SELECT
	tableName = D.name ,
    tableIntroduce = isnull(F.value,
''),
    sort = A.colorder,
    fieldName = A.name,
        catogary = B.name,
        bytes = A.Length,
        lengths = COLUMNPROPERTY(A.id,
A.name,
'PRECISION'),
        scales = isnull(COLUMNPROPERTY(A.id,
A.name,
'Scale'),
0),
        isOrNotNull =
Case
	When A.isnullable = 1 Then '√'
	Else ''
End,
            primarays =
Case
	When exists(
	SELECT
		1
	FROM
		sysobjects
	Where
		xtype = 'PK'
		and parent_obj = A.id
		and name in (
		SELECT
			name
		FROM
			sysindexes
		WHERE
			indid in(
			SELECT
				indid
			FROM
				sysindexkeys
			WHERE
				id = A.id
				AND colid = A.colid))) then '√'
	else ''
end,
        defauts = isnull(E.Text,
''),
            annotations = isnull(G.[value],
'')
FROM
        syscolumns A
Left Join
        systypes B
    On
        A.xusertype = B.xusertype
Inner Join
        sysobjects D
        On
        A.id = D.id
and D.xtype = 'U'
and D.name <> 'dtproperties'
Left Join
        syscomments E
 on
        A.cdefault = E.id
Left Join
    sys.extended_properties G
    on
        A.id = G.major_id
and A.colid = G.minor_id
Left Join
    sys.extended_properties F
    On
        D.id=F.major_id and F.minor_id=0
        --where d.name='BigTable'    --如果只查询指定表,加上此条件
    Order By
        A.id,A.colorder """

    cur.execute(query)
    data = cur.fetchall()  # 元组类型
    return data


def exportExcel(name):
    data = getData()
    myExcel = xlwt.Workbook('encoding=utf-8')
    # 定义表的宽
    sheet1 = myExcel.add_sheet(name, cell_overwrite_ok=True)
    sheet1.col(0).width = 300 * 20
    sheet1.col(1).width = 400 * 20
    sheet1.col(2).width = 100 * 20
    sheet1.col(3).width = 300 * 20
    sheet1.col(4).width = 256 * 20
    sheet1.col(5).width = 180 * 20
    sheet1.col(6).width = 180 * 20
    sheet1.col(7).width = 100 * 20
    sheet1.col(8).width = 100 * 20
    sheet1.col(9).width = 100 * 20
    sheet1.col(10).width = 180 * 20
    sheet1.col(11).width = 800 * 20

    # 设置居中
    a1 = xlwt.Alignment()
    a1.horz = 0x02
    a1.vert = 0x01
    style = xlwt.XFStyle()  # 赋值style为XFStyle为初始化样式
    style.alignment = a1

    today = datetime.today(
    )  # 获取当前日期，得到一个datetime对象如：(2019, 7, 2, 23, 12, 23, 424000)
    today_date = datetime.date(today)  # 将获取到的datetime对象仅取日期如：2019-7-2
    items = [
        '数据表', '表名', '字段序号', '字段', '类型', '占用字节数', '长度', '小数点', '是否为空', '是否为主键',
        '默认值', '注释'
    ]
    for col in range(len(items)):
        sheet1.write(0, col, items[col])
    # 合并第二列的name,从content获取第一列数据，[("Choleen","xxx"),()]
    first_col = []
    for i in range(len(data)):
        first_col.append(data[i][0])
    print("first_col:", first_col)
    # 去掉重复的列数据，并顺序不变
    nFirst_col = list(set(first_col))
    nFirst_col.sort(key=first_col.index)
    print("nFirst_col:", nFirst_col)
    row = 1
    for i in nFirst_col:
        count = first_col.count(i)  # 计算重复的元素个数
        mergeRow = row + count - 1  # 合并后的上行数，
        sheet1.write_merge(row, mergeRow, 0, 0, i, style)  # 第一列
        sheet1.write_merge(row, mergeRow, 1, 1, i, style)
        row = mergeRow + 1  # 从下一行开始写入

    # 获取data[i]中的第二个元素，循环写入
    for row in range(len(data)):
        for col in range(1, len(data[row])):
            result = data[row][col]
            str = typeof(result)  # 获取类型
            if str == None:  # 不能识别的类型，需要转换
                result = result.decode('utf-8')
            sheet1.write(row + 1, col, result, style)

    fileName = name + '.xls'
    rootPath = os.path.dirname(os.path.abspath('ExportSqlServer.py')) + '\\'
    print(rootPath)
    flag = os.path.exists(rootPath + fileName)
    if flag:
        os.remove(rootPath + fileName)
        myExcel.save(fileName)
    else:
        myExcel.save(fileName)


def typeof(variate):
    type = None
    if isinstance(variate, int):
        type = "int"

    elif isinstance(variate, str):
        type = "str"
    elif isinstance(variate, float):
        type = "float"
    elif isinstance(variate, list):
        type = "list"
    elif isinstance(variate, tuple):
        type = "tuple"
    elif isinstance(variate, dict):
        type = "dict"
    elif isinstance(variate, set):
        type = "set"
    return type


if __name__ == '__main__':
    print("这是sqlServer导出的数据字典")
    # response = chardet.detect(b'\xe7\x94\xa8\xe6\x88\xb7\xe8\xa1\xa8')
    # print(response)
    exportExcel("user表")