1.1. 查看数据文件 SQL> select name from v$datafile;NAME --- /u05/dbf/PROD/system_01.dbf/u05/dbf/PROD/system_01.dbf (系统数据文件)/u06/dbf/PROD/temp_01.dbf (临时数据文件)/u04/dbf/PROD/users_01.dbf （用户数据文件）/u09/dbf/PROD/rbs_01.dbf （回滚数据文件）...
请看SQL语句"SELECT name, status FROM v$controlfile; ",这一语句将显示以下哪个结果 A.显示MAXDATAFILE的值B.确定最后一个检查点所发生的时间C.显示所有数据文件的名字和状态D.显示所有控制文件的个数、名字、状态和位置 答案 D[解析] 这一题是测试对控制文件和数据字典vcontrolfile的熟悉程度。根据有关怎样...
Namespace: Microsoft.VisualStudio.Shell.Interop Assembly: Microsoft.VisualStudio.Interop.dll Package: Microsoft.VisualStudio.Interop v17.12.40391 Returns one or more objects selected from a group of objects. C++/CX 复制 public: int SelectObjects(unsigned int cSelect, Platform::Array <P...
Namespace: Microsoft.VisualStudio.Imaging Assembly: Microsoft.VisualStudio.ImageCatalog.dll Package: Microsoft.VisualStudio.ImageCatalog v17.12.40391 C++/WinRT Көшіру int FrameSelect = 1337; Field Value Value = 1337 Int32 Applies to ӨнімНұсқалар Visual Studio...
select * from v$pwfile_users; 二、查询表 1、 查看用户下所有的表 SQL>select * from user_tables; 2、 查看名称包含log字符的表 SQL>select object_name,object_id from user_objects where instr(object_name,'LOG')>0; 3、 查看某表的创建时间 ...
Namespace: Microsoft.VisualStudio.Imaging Assembly: Microsoft.VisualStudio.ImageCatalog.dll Package: Microsoft.VisualStudio.ImageCatalog v17.12.40391 C++ 複製 public: static property Microsoft::VisualStudio::Imaging::Interop::ImageMoniker SelectAll { Microsoft::VisualStudio::Imaging::Interop::Image...
Namespace: Microsoft.VisualStudio.Shell.Interop Assembly: Microsoft.VisualStudio.Interop.dll Package: Microsoft.VisualStudio.Interop v17.12.40391 Used by a VSPackage to provide pages to a component picker. C++ 复制 public: int GetComponentSelectorPage(Guid % rguidPage, cli...
Namespace: Microsoft.VisualStudio.Imaging Assembly: Microsoft.VisualStudio.ImageCatalog.dll Package: Microsoft.VisualStudio.ImageCatalog v17.12.40391 C++ 複製 public: static property Microsoft::VisualStudio::Imaging::Interop::ImageMoniker SelectWindowProcess { Microsoft::VisualStudio::Imaging::Inter...
To install from source: cd <featurewiz_Destination> git clone git@github.com:AutoViML/featurewiz.git # or download and unzip https://github.com/AutoViML/featurewiz/archive/master.zip conda create -n <your_env_name> python=3.7 anaconda conda activate <your_env_name> # ON WINDOWS: `sourc...
import featurewiz as fwiz outputs = fwiz.featurewiz(dataname=train, target=target, corr_limit=0.70, verbose=2, sep=',', header=0, test_data='',feature_engg='', category_encoders='', dask_xgboost_flag=False, nrows=None, skip_sulov=False, skip_xgboost=False) outputs is a tuple: ...