如果您想直接访问全局变量,您可以创建一个存储过程来执行此操作。在执行此操作之前,您应该考虑安全隐患 - 它会将全局中的所有数据公开给具有 ODBC 访问权限的任何人。
这是一个存储过程的示例,它返回最多 9 个全局下标的值以及该节点处的值。如果需要,您可以很容易地对其进行修改。
Query OneGlobal(GlobalName As %String) As %Query(ROWSPEC = "NodeValue:%String,Sub1:%String,Sub2:%String,Sub3:%String,Sub4:%String,Sub5:%String,Sub6:%String,Sub7:%String,Sub8:%String,Sub9:%String") [SqlProc]
{
}
ClassMethod OneGlobalExecute(ByRef qHandle As %Binary, GlobalName As %String) As %Status
{
S qHandle="^"_GlobalName
Quit $$$OK
}
ClassMethod OneGlobalClose(ByRef qHandle As %Binary) As %Status [ PlaceAfter = OneGlobalExecute ]
{
Quit $$$OK
}
ClassMethod OneGlobalFetch(ByRef qHandle As %Binary, ByRef Row As %List, ByRef AtEnd As %Integer = 0) As %Status [ PlaceAfter = OneGlobalExecute ]
{
S Q=qHandle
S Q=$Q(@Q) b
I Q="" S Row="",AtEnd=1 Q $$$OK
S Depth=$QL(Q)
S $LI(Row,1)=$G(@Q)
F I=1:1:Depth S $LI(Row,I+1)=$QS(Q,I)
F I=Depth+1:1:9 S $LI(Row,I+1)=""
S AtEnd=0
S qHandle=Q
Quit $$$OK
}
我没有代码供您从访问中获取,但作为参考,从您可能使用的 python 访问它(使用 pyodbc):
import pyodbc
import win32com.client
import urllib2
class CacheOdbcClient:
connectionString="DSN=MYCACHEDSN"
def __init__(self):
pass
def getGlobalAsOverlyLargeList(self):
connection=pyodbc.connect(self.connectionString)
cursor=connection.cursor()
cursor.execute("call MyPackageName.MyClassName_OneGlobal ?","MYGLOBAL")
list=[]
for row in cursor :
list.append((row.NodeValue,row.Sub1,row.Sub2,row.Sub3,row.Sub4,row.Sub5,row.Sub6,row.Sub7,row.Sub8,row.Sub9))
return list