And also want to create json files from db table data and to read it into js array for textbox autocompletion. Please refer the following answered thread,which contains the exact implementation of what you required,.
I know this approach. Ask a question. Quick access. Search related threads. Remove From My Forums. Answered by:. Archived Forums. Getting Started with ASP. In my experience, it is usually kept in files, which generally come from a database, or series of databases.
The first task is to synchronize the source database with the current build, in case table structures have changed. We can then export the data into a file directory one table per file , and the imported into the development copy of the database during the build process.
If it is used with JSON schema, then the data can be checked and validated well before the build, so that success at the stage of data import is well guaranteed.
I also have a utils database containing the various utility procedures we need to do the leg-work of the data export-validate-import process. As we just use stored procedures, we can merely use temporary stored procedures to do the same thing.
We need to start with a directory containing the source of our data. In my example, I exported the data via MongoExport with optional array brackets and commas. I provide the source of these procedures here. They need to be compiled in on the same connection, which means in the same SSMS query window, or on the same connection in PowerShell.
Saving this data should be a trivial matter but there is a complication in that some of the CLR datatypes can cause an error, so the code is slightly more complicated than you might want. We need to output this in UTF8.
If you are feeling lucky, you can skip this stage, which is to check the JSON import files to make sure that they have good data. We can easily get that information, and we can add additional information such as the SQL datatypes of each column and the column order of our tables. We want this JSON Schema because we can use it to check the data files to make sure that the data is all there for the columns we need, and generally of a type that can be coerced into a SQL Server datatype.
Otherwise we can use PowerShell or any. NET scripting. Again, the target server directory must exist. I give the source of these routines here. We can now use PowerShell to run the checks. We execute the following SQL. The source of the procedure that does the real work is attached to the article and stored here. Here we have a script that creates as many databases as you need on as many servers as you want, using whichever data sets you choose. Usually, I turn this into a PowerShell cmdlet that takes the config as a filename.
However, this script form allows much easier debugging and change. The current data structure is to give a minimal example that you can build on. The script works in a similar way to the manual approach, but I create a temporary stored procedure to do the hard work, and use SMO for the slow dignified bits. This is a more satisfactory approach, if only because one can read in the JSON files within PowerShell and they can be anywhere visible to your workstation on the network.
By using just temporary stored procedures for the heavy lifting, we keep the database and server clean without a lasting trace of our activities. The web service expects a request and response in the following format:. Formatting and escaping are handled by SQL Server.
To get the AdventureWorks sample database, download at least the database file and the samples and scripts file from GitHub. Import and export JSON. Run query examples. Run some queries that call the stored procedures and views that you created in steps 2 and 4.
Clean up scripts. Don't run this part if you want to keep the stored procedures and views that you created in steps 2 and 4. Some of the video links in this section may not work at this time. Microsoft is migrating content formerly on Channel 9 to a new platform. We will update the links as the videos are migrated to the new platform. Skip to main content. This browser is no longer supported. Download Microsoft Edge More info.
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