I would like to know whether is possible to add normal data to a Sesame Database using SQL queries and retrieve them through SQL queries..??
Do you mean adding new tables to the Sesame store so that you can store non-RDF data as well? If you use Sesame's RDBMS store, then it could be possible. But it is probably not such a good idea, because it would be very easy to mess up Sesame's internal schema and put the store into an inconsistent state.
If you use Sesame's native store, then it's not possible.
Related
I'm new to MongoDB. before I start MongoDB i was working with SQL databases. I know that MongoDB is different from SQL and in Mongodb you don't have to define a schema. but if you give your database to other teammates and ask him to work with your database, how he can figure out how to work with a Collection? in this situation in SQL, your teammate will open the database and look at the Table and he will understand how to work with it. Suppose according to your analyze, the User Collection should hold the following data model:
But when you have not defined it anywhere, How can you explain it to others?
I hope that I have been able to express my meaning correctly.
We have a 3gb file of data from our propriartary CRM system which is using SQL as a database.
The CRM is not meeting our needs and we are thinking about moving to Microsoft access and building our own system from the start.
We were wondering if it is possible to easily migrate the SQL database into access?
Thanks for your time.
First of all, it has been a long time since I've had to use MS-Access (thankfully) but I'm not sure Access is suitable for databases of that size. In my opinion, it's best suited to small, desktop-type applications with few concurrent users.
To answer your question, I believe Access offers a data import feature(see under the External Data ribbon in 2013) - though I'd suspect it might balk at the idea of 3GB of data. Edit: Actually this link suggests the max databsae size is 2GB
What might be more useful however, is its Linked Table feature. If I remember correctly this allows you to access data stored in SQL Server (or a similar RDBMS) which is more suited to large volumes of data through an Access front end - complete with pre-canned forms, queries, reports etc..
It is possible and fairly straight forward to move all of your data tables from SQL Server to Access; however, SQL Server is a much more robust database engine than Access. I would highly recommend against that. I have however had very good success using Access (ADP project files) as a front for the interface and using SQL Server as the database back-end for simple to moderate complexity interfaces. If you are not getting the performance you desire from your SQL Server, you might want to consider query performance tuning and looking into memory and hardware upgrades first. I think you will get better and faster results from doing that.
The simple solution would be to “link” Access to SQL server. That way you continue to use a robust data engine, but are free to use all the reporting and coding features of Access.
In this setup then Access simply becomes a “front end” to the existing SQL database.
And you do NOT want to use an ADP project in Access since they are depreciated.
The process is thus to create a blank standard database, and then use linked tables to SQL server. This will not only eliminate the need to import data (which is likely changing all the time).
My team and I are rapidly developing an Webapp backed by an Oracle DB. We use maven's plugin flyway to manage our db creation and population from INSERT SQL scripts. Typically we add 3-4 tables per sprint and / or modify the existing tables structure.
We model the schema in an external tool that generates the schema including the constraints and run this in first followed by the SQL INSERTs to ensure the integrity of all the data.
We spend too much time managing the changes to the SQL to cover the new tables - by this I mean adding the extra column data to the existing SQL INSERT statements not to mention the manual creation of the new SQL INSERT data particularly when they reference a foreign key.
Surely there is another way, maybe maintaining raw data in Excel and passing this through a parser to the DB. Has anyone any ideas?
10 tables so far and up to 1000 SQL statements, DB is not live so we tear it down on every build.
Thanks
Edit: The inserted data is static reference data the platform depends on to function - menus etc.
The architecture is Tomcat, JSF, Spring, JPA, Oracle
Please store your raw data in tables in the database - hey! why on earth do you want to use Excel for this? You have Oracle Database - the best tool for the job!
Load your unpolished data using SQL*Loader or external tables into regular tables in the database.
From there you have SQL - the most powerful rdbms tool to manipulate your data.
NEVER do slow by slow inserts. (1000 sql statements). Please do CTAS.
Add/enable the constraints AFTER you have loaded all the data.
create table t as select * from raw_data;
or
insert into t (x,y,z) select x,y,z from raw_data;
Using this method, you can bypass the SQL engine and do direct inserts (direct path load). This can even be done in parallel to make your data go into the database superfast!
Do all of your data manipulation in SQL or PLSQL. (Not in the application)
Please invest time learning the Oracle Database. It is full of features for you to use!
Don't just use it like a datadump (a place where you store your data). Create packages - interfaces to your application - your API to the database.
Don't just throw around thousands of statements compiled into your application. It will get messy.
Build your business logic inside the database PLSQL - use your application for presentation.
Best of luck!
Alternatively, you also have the option to implement a Java migration. It could read whatever input data you have (Excel, csv, ...) and do the proper inserts.
Without going into specifics...I have a large SQL Server 2005 database with umpteen stored-procedures.
I have multiple applications from WinForm apps to WebServices all of which use this DB.
My simple objective now is to create a meta-database...a prospective data-dictionary where I can maintain details of which specific app. file uses which SP.
For example, My application Alpha which has a file Beta.aspx...uses 3 SPs which are physically configured for usage in BetaDAL.cs
You might have inferred by now,it will make life easier for me later when there is a migration or deprecation....where I can just query this DB SP-wise to get all Apps/Files that use the DB or vice-versa.
I can establish this as a single de-normalized table..or structure it in a better way.
Does some schema already exist for this purpose?
SQL Server supports what are called extended properties, basically a key-value dictionary attached to every object in the catalog. You can add whatever custom information about the catalog (comments on tables, columns, stored procedures, ...) you wish to store as extended properties and query them along with the normal catalog views.
Here's one overview (written for SQL Server 2005, but roughly the same techniques should apply for 2000 or 2008).
For instance, will I be able to create an application that allows users to create and modify existing types at runtime? Will I be able to persist instances of those types in SQL without having to worry about the user who adds 100,000 records and expects a (really) fast query on them?
Think SharePoint Content Types... but on steroids. Oslo steroids - Possible or not?
That would be awesome!
In the demos, they create the new extent, and then a (updatable) view with the old name.
But I haven't heard about a feature that would automatically merge existing data into the new structure, though. For now, they suggest using SQL Server Integration Services for that part - but then it's a DB-Admin task.
Regarding performance, after MSchema is compiled to SQL statements, it's all plain SQL Server performance.