What database Palo OLAP server handles? - olap

I was wondering what Palo OLAP Server handles as input Database ?
Does someone know where I can find a list of the input Database supported ?
Thank you !

It looks like any standard relational database through JDBC or flat files. Here's what it says on the jedox website.

Palo has lots of options for inputs, including relational databases. I don't know if anyone has made a list of supported databases, but I would not worry about being able to use a specific one - because you always have the option of writing a SQL statement to extract your data into a flat file and then loading the flat file into Palo.

Related

How to feed Word 2010 (.docx) documents/templates with data from MySQL database?

What would be the best approach to replace placeholders in a .docx document (Word 2010) with data coming from a MySQL database?
Can I just open the file using a server side language and do a string replace per each placeholder?
Is there any existing tool/library available?
Thanks
Disclosure: I work for Invantive.
Using Invantive Composition (http://www.invantive.com/products/invantive-composition) you can fill Word documents (letters, legal pleadings, insurancy policies) with data from a database (IBM DB2, Oracle, MySQL, Teradata and SQL Server) and then fully change the contents at will manually. It is intended for real Microsoft Word end-users (both the guys that make the template and the ones that use it) that access the databases through a central webservice and models with queries. Invantive Composition allows nested repeating groups of data and lay-out. Integrates into Microsoft Word using click once.
In the past, I personally have also been using JasperReports (http://community.jaspersoft.com/project/jasperreports-library) to generate letters using the RTF output target of JasperReports. It is free and works fine as long as you do not want to edit the output more than a few words and have Java/SQL development skills. Just as Invantive Composition it works fine for large numbers of different reports.
As long as you can control the environment completely, you can also consider using RTF as intermediate language (not for end-users, only real developers). Save document as RTF, replace parts of the text you need to be replacable, write a webservice that accepts the parameter and dumps back the resulting RTF. Takes some time to generate more complex tables (tables are obviously something invented by the human race after the RTF specification was written :-) This approach only works with very limited number of templates and when you have sufficient developer time available to get it up and running and stabilized.
As an independent reviewer, I have also seen cases where XML templates were used, but the results were not as good as with JasperReports.
**Disclosure: I lead the docx4j project **
There are heaps of existing tools/libraries available!
Yes, you can just do a string replace, but that is a brittle approach, since Word may have split the string across runs.
You can use MERGEFIELDs, or content control data binding.
docx4j supports all three approaches, but content control data binding is the most powerful.
ContentControlsMergeXML
MERGEFIELDs
VariableReplace
One thing to consider especially is "repeats". If you want say a row of a table in Word, for each matching row in your MySQL table, then you need a way to make this happen.
docx4j does this with a "repeat" content control around the table row; whichever solution you choose, I'd make sure up front that it can handle repeats.
If you want to use PHP the most complete available solution is PHPDocX.
You may check in the tutorial how to substitute placeholder variables by data coming from any data source (like a MySQL DB).
In particular, you may populate table rows with an indefinite number of entries and you may delete whole blocks of the Word document depending on the data fed to the application or build dynamical Word charts.
You may check the available DEMO for a simple but quite illustrative example (its inner workings are explained in the tutorial section).
You can use open Open XML SDK and replace your placeholders like this.
Disclosure: I lead the docxgenjs project
I think you shouldn't have to code everything by yourself, that's why I created a Mustache-like templating engine for docx
Demo:
http://javascript-ninja.fr/docxgenjs/examples/demo.html
Repo
https://github.com/edi9999/docxgenjs
It is JS-based and works client and server side.
Yes, you can use server side language to do it.
Check on apache POI.
http://poi.apache.org
Hello I read the above esp the comments and Ivantive looks impressive - but the solution I needed was much simpler. Use Selection.Range.InsertDatabase in Word to fetch records from an access database or excel spreadsheet or even just another word document. With the access solution you can choose the layout of the records to fetch and have it fetch just particular recordds based on a field (eg ID). Google the words above and it'll take you to MS guidance and an example VB script. Worked well in just a few mins. Now looking for VB script that asks the person what ID they want from the dbase and we're done.
it uses docx templates that have merge fields with java objects (the objects have the information you load from mysql or any other source). The xdoc report is an project for java language, the home page of the project is https://code.google.com/p/xdocreport/.
*Disclosure: I create the templ4docx project *
Hello
You can use templ4docx java library, which is on maven central repository, so you can just add it to your maven dependencies:
<dependency>
<groupId>pl.jsolve</groupId>
<artifactId>templ4docx</artifactId>
<version>2.0.0</version>
</dependency>
Example usage:
Docx docx = new Docx("E:\\template.docx");
Variables variables = new Variables();
variables.addTextVariable(new TextVariable("${firstName}", "John"));
variables.addTextVariable(new TextVariable("${lastName}", "Sky"));
docx.fillTemplate(variables);
docx.save("E:\\filledTemplate.docx");
More details you can find here: http://jsolve.github.io/java/templ4docx/

SQL Server database or XML, what to choose for asp.net app?

I have a database with about 10,000 records. Each record has one text field (200 chars or so) and about 30 numeric fields.
The asp.net app only does some searching and sorting and displaying data in a grid. No data sharing between users, read only operations (no database updating), very little calculation.
Should I go with an XML file and use Linq or should I use an SQL Server database? Please give me explanations of your choice.
Should I go with an XML file and use Linq or should I use an SQL Server database?
TOTAL non issue - SQL.
The asp.net app only does some searching and sorting
Read up on a beginner SQL book what an "INDEX" is. XML files have none - so SQL databases are a lot more efficient with sorting and filtering.
It really depends on your needs, Ask your self following questions.
Is your data set going to increase?
Is speed one of the most desired thing of your app?
Are you going to run complex queries?
Is the schema of your data going to change?
If answer to most of the questions above is 'no' then feel free to use XML. Sql provides lot's of features and mainly intended for data storage and retrieval, while with XML you can store data but I would say its main usage is data interoperability and exchange
If your data set increases then SQL should be a choice because you can create indexes on your dataset which will increase speed of retrieval for the data, files are usually read serially and thus are slower for ad-hoc data search.
I think you'll find SQL to be much easier to develop and maintain. XML is great in some scenarios, but I've found it often presents a steady stream of headaches in the long term.
From a performance perspective alone, it's hard to say which approach would be better without knowing the details of your queries and schema. In general, though, SQL tends to win, since it's built for searching and sorting, where XML is not.
For a readonly dataset of that size, you might be able to read the whole thing into memory on the web server side, and do your searching and sorting there.

Which one to use? EAV or Blobs in the database?

I am currently working to rework the data system of our application. Basically, it is designed so that people can add all the custom fields they want, with only a few constant/always-there fields.
Our current design is giving us plenty of maintenance problems. What we do is dynamically(at runtime) add a column to the database for each field. We have to have a meta table and other cruft to maintain all of these dynamic columns.
Now we are looking at EAV, but it doesn't seem much better. Basically, we have many different types of fields, so there would be a StringValues, IntegerValues, etc table... which makes things that much worse.
I am wondering if using JSON or XML blobs in the database may be a better solution, specifically because in most use cases, when we retrieve anything out of these tables, we need the entire row. The problems is that we need to be able to create reports for this data as well.. No solution really makes custom queries look easy. And searching across such a blob database will surely be a performance nightmare when reports are ran.
Each "row" needs to have anywhere from about 15 to 100(possibly more) attributes/columns associated with it.
We are using SQL Server 2008 and our application interfacing with the database is a C# web application(so, ASP.Net).
what do you think? Use EAV or blobs or something else entirely? (Also, yes, I know a schema free database like MongoDB would be awesome here, but I can't convince my boss to use it)
What about the xml datatype? Advanced querying is possible against this type.
We've used the xml type with good success. We do most of our heavy lifting at the code level using linq to parse out values. Our schema is somewhat fixed, so that may not be an option for you.
One interesting feature of SQL server is the sql_variant type. It's fully supported in .NET and quite easy to use. The advantages is you don't need to create StringValue, IntValue, etc... columns, just one Value column that can contain all the simple types.
This very specific type favors the EAV option, IMHO.
It has some drawbacks though (sorting, distinct selects, etc...). So if you want to use it, make sure you read all the documentation and understand its limit.
Create a table with your known columns and "X" sparse columns using a sequential name such as DataColumn0001, DataColumn0002, etc. When there is a definition for a new column just rename a column and start inserting data. The great advantage to the sparse column is it is indexable.
More info at this link.
What you're doing is STUPID with a database that doesn't support your data type. You should work with a medium that meets your needs which include NoSQL databases such as RavenDB, MongoDB, DocumentDB, CouchBase or Postgres in RDMBS to name several.
You are inherently using the tool in a capacity it was neither designed for, and one it specifically attempts to limit you from achieving success. NoSQL database solutions frequently use JSON as an underlying storage because JSON is inherently schemaless. Want to add a property? Sure go ahead, want to add a whole sub collection? Sure go ahead. NoSQL databases were in part, created specifically to remove rigid schema requirements of RDBMS.
2015 Edit: Postgres now natively supports JSON. This is a viable option for RDBMS. My answer is still correct that you need to use the correct tool for the problem. It is a polygot persistence world.

Offline OLAP cube file format

In Excel pivot table you can request the generation of a offline OLAP cube : i.e., a file with the .cub extension. Does anybody know or have any pointer about this file format ?
Thanks, _marc
I think all of the information you need to create them is here, but according to this post, you can only edit them with SSMS.
EDIT: A C#-only approach is laid out here.
Here you can find how to transform xmla to .cub. If your task is to generate cub files from your application, it can be a good solution. There is much more information on xmla (standard) format than on proprietary .cub. Xmla is a standard and there are opensource implementations - olap4j, mondrian.

Saving MFC Model as SQLite database

I am playing with a CAD application using MFC. I was thinking it would be nice to save the document (model) as an SQLite database.
Advantages:
I avoid file format changes (SQLite takes care of that)
Free query engine
Undo stack is simplified (table name, column name, new value
and so on...)
Opinions?
This is a fine idea. Sqlite is very pleasant to work with!
But remember the old truism (I can't get an authoritative answer from Google about where it originally is from) that storing your data in a relational database is like parking your car by driving it into the garage, disassembling it, and putting each piece into a labeled cabinet.
Geometric data, consisting of points and lines and segments that refer to each other by name, is a good candidate for storing in database tables. But when you start having composite objects, with a heirarchy of subcomponents, it might require a lot less code just to use serialization and store/load the model with a single call.
So that would be a fine idea too.
But serialization in MFC is not nearly as much of a win as it is in, say, C#, so on balance I would go ahead and use SQL.
This is a great idea but before you start I have a few recommendations:
Be careful that each database is uniquely identifiable in some way besides file name such as having a table that describes the file within the database.
Take a look at some of the MFC based examples and wrappers already available before creating your own. The ones I have seen had borrowed on each to create a better result. Google: MFC SQLite Wrapper.
Using SQLite database is also useful for maintaining state. Think ahead about how you would manage keeping in mind what features are included and are missing in SQLite.
You can also think now about how you may extend your application to the web by making sure your database table structure is easily exportable to other SQL database systems- as well as easy enough to extend to a backup system.

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