Question

我有一个查询，该查询在MySQL中正确返回数据，但在Python中仅返回部分数据。

查询为：

select sc.* from tbl030_shots_chart sc, tbl006_player_team tc where
sc.id_fiba = tc.id_player_feb and
tc.id_team_club = 5

MySQL中的此查询返回1030行，如您在此屏幕截图中所见。

但是，如果我使用python执行此查询，则只有67行。这是我的代码：

connection = pymysql.connect(host = DDBB.DDBB_FIBA_HOST,
                      user = DDBB.DDBB_FIBA_USER,
                      password = DDBB.DDBB_FIBA_PSWD,
                      db = DDBB.DDBB_FIBA_NAME,
                      charset = DDBB.DDBB_FIBA_CHARSET,
                      cursorclass=pymysql.cursors.DictCursor)
with connection.cursor() as cursor:
    totalRows = cursor.execute("select sc.* from tbl030_shots_chart sc, tbl006_player_team tc where sc.id_fiba = tc.id_player_feb and tc.id_team_club = %s", [5])
    print("Total Rows: " + str(totalRows))

这是出口：

为什么我从Python那里获得的数据要比MySQL少？

这些是表的定义：

tbl030_shots_chart

tbl006_player_team

编辑我：

使用内部联接在python中不起作用，但在MySQL中起作用

但是，使用python仍然会返回76行，而不是像MySQL那样返回1030。

connection = pymysql.connect(host = DDBB.DDBB_FIBA_HOST,
                      user = DDBB.DDBB_FIBA_USER,
                      password = DDBB.DDBB_FIBA_PSWD,
                      db = DDBB.DDBB_FIBA_NAME,
                      charset = DDBB.DDBB_FIBA_CHARSET,
                      cursorclass=pymysql.cursors.DictCursor)
with connection.cursor() as cursor:
    totalRows = cursor.execute("select sc.* from tbl030_shots_chart as sc inner join tbl006_player_team as pt on sc.id_fiba = pt.id_player_feb and pt.id_team_club = %s", [5])
    print("Total Rows: " + str(totalRows))

如果我使用以下代码从游标中获得了总行数：

connection = pymysql.connect(host = DDBB.DDBB_FIBA_HOST,
                      user = DDBB.DDBB_FIBA_USER,
                      password = DDBB.DDBB_FIBA_PSWD,
                      db = DDBB.DDBB_FIBA_NAME,
                      charset = DDBB.DDBB_FIBA_CHARSET,
                      cursorclass=pymysql.cursors.DictCursor)
with connection.cursor() as cursor:
    cursor.execute("select sc.* from tbl030_shots_chart as sc inner join tbl006_player_team as pt on sc.id_fiba = pt.id_player_feb and pt.id_team_club = %s", [5])
    totalRows = cursor.rowcount
    print("Total Rows: " + str(totalRows))

我返回了76行，而不是1030。

Answer 1

您可以尝试为此查询创建view。

CREATE VIEW your_view AS (

    SELECT 
    t1.id,
    t1.id_game,
    t1.line,
    ...

    t2.id_team_club,
    t2.id_player_feb,
    ...

    FROM tbl030_shots_chart t1
    LEFT JOIN
    tbl006_player_team t2
)

然后在您的python代码中：

sql = 'SELECT * FROM your_view WHERE id_fiba =id_player_feb AND id_team_club = %s'
with connection.cursor() as cursor:
    cursor.execute(sql, (5))

Answer 2

尝试使用游标rowcount属性：

with connection.cursor() as cursor:
    cursor.execute("select sc.* from tbl030_shots_chart sc, tbl006_player_team tc where sc.id_fiba = tc.id_player_feb and tc.id_team_club = %s", [5])
    totalRows=cursor.rowcount
    print("Total Rows: " + str(totalRows))

在.execute方法中，没有定义返回值，因此您可以获得任何信息。

通过字段将两个表连接起来时，Python不返回数据

2 个答案: