Xmla4js is a standalone javascript library that provides basic XML for Analysis (XML/A) capabilities, allowing javascript developers to access data and metadata from OLAP provides for use in rich (web) applications. Xmla4js can be used inside a webpage or in a server environment like node.js

1. https://github.com/rpbouman/xmla4js.git
X4js
MLA
X4js
MLA
X4js
MLA

2. https://github.com/rpbouman/xmla4js.git
Xmla4js Overview
● Standalone XML/A client API in JavaScript
● Based on the XML/A standard
● Works with Pentaho, also works with
– Palo (Jedox), MS Analysis Services, Essbase
● http://github.com/rpbouman/xmla4js.git

3. https://github.com/rpbouman/xmla4js.git
A Simple OLAP Query
SELECT [Measures].[Profit]
ON COLUMNS,
[Product].[All Products].Children
ON ROWS
FROM [Sales]
Measures
Profit
Drink $ 29,358.98
Food $245,764.87
Non-Consumable $ 64,487.05

4. https://github.com/rpbouman/xmla4js.git
Xmla in the Browser<script type=”text/javascript”>
var url = "http://localhost:8080/pentaho/Xmla?userid=joe&password=password";
var datasource = "Pentaho Analysis Services";
var catalog = "FoodMart";
var mdx = "SELECT [Measures].[Profit] ON COLUMNS," +
" [Product].[All Products].Children ON ROWS " +
"FROM [Sales]";
var request = "<SOAP-ENV:Envelope" +
" xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/"" +
" SOAP-ENV:encodingStyle="http://schemas.xmlsoap.org/soap/encoding/">" +
" <SOAP-ENV:Body>" +
" <Execute" +
" xmlns="urn:schemas-microsoft-com:xml-analysis"" +
" SOAP-ENV:encodingStyle="http://schemas.xmlsoap.org/soap/encoding/">" +
" <Command>" +
" <Statement>" + mdx + "</Statement>" +
" </Command>" +
" <Properties>" +
" <PropertyList>" +
" <DataSourceInfo>" + datasource + "</DataSourceInfo>" +
" <Catalog>" + catalog + "</Catalog>" +
" <Format>Tabular</Format>" +
" </PropertyList>" +
" </Properties>" +
" </Execute>" +
" </SOAP-ENV:Body>" +
"</SOAP-ENV:Envelope>";
var xhr = new XMLHttpRequest();
xhr.open("POST", url, false);
xhr.setRequestHeader("Content-Type", "text/xml");
xhr.send(request);
var response = xhr.responseXML;
var rows = response.getElementsByTagNameNS(
"urn:schemas-microsoft-com:xml-analysis:rowset", "row"
);
var colHeaders = response.getElementsByTagNameNS(
"urn:schemas-microsoft-com:xml-analysis:rowset", "row"
);
var rowArray = [];
for (var i=0; i<rows.length; i++){
var row = rows.item(i);
var cols = row.getElementsByTagName("*");
var rowArrayEntry = {};
rowArray.push(rowArrayEntry);
for (var j=0; j<cols.length; j++){
var col = cols.item(j);
rowArrayEntry[col.nodeName] = col.firstChild.data
}
}
</script>

5. https://github.com/rpbouman/xmla4js.git
Xmla4js in the Browser
<script type="text/javascript" src="../src/Xmla.js"></script>
<script type="text/javascript">
var rowArray = new Xmla().execute({
async: false,
url: "http://localhost:8080/pentaho/Xmla",
statement: "SELECT [Measures].[Profit] ON COLUMNS," +
" [Product].[All Products].Children ON ROWS "+
"FROM [Sales]",
properties: {
DataSourceInfo: "Pentaho Analysis Services",
Catalog: "FoodMart",
Format: "Tabular"
}
}).fetchAllAsObject();
</script>
[
{"[Product].[Product Family].[MEMBER_CAPTION]":"Drink",
"[Measures].[Profit]":29358.9754}
, {"[Product].[Product Family].[MEMBER_CAPTION]":"Food",
"[Measures].[Profit]":245764.86650000003}
, {"[Product].[Product Family].[MEMBER_CAPTION]":"Non-Consumable",
"[Measures].[Profit]":64487.0545}
]

6. https://github.com/rpbouman/xmla4js.git
Xmla4js Calling Sequence
ServerClient
Discover
Schema Rowset (metadata)
Model
(metadata)
Visualization
(data)
Request type, restrictions
Statement (MDX)
Execute
Multidimensional Resultset (data)

7. https://github.com/rpbouman/xmla4js.git
Xmla4js Classes
Xmla
addListener()
executeXXX()
discoverXXX()
setOptions
Rowset
eachRow()
fetchAllXXX()
fetchAsXXX()
fieldCount()
fieldDef()
hasMoreRows()
mapAllAsObject()
mapAsObject()
nextRow()
readAsXXX()
reset()
Dataset
axisCount()
fetchAsObject()
getAxis()
getCellset()
Axis
eachHierarchy()
eachTuple()
fetchAllXXX()
fetchAsXXX()
getTuple()
hierarchy()
member()
Cellset
cellCount()
cellOrdinalForTupleIndexes()
getByXXX()
hasMoreCells()
eachCell()
nextCell()
readCell()

8. https://github.com/rpbouman/xmla4js.git
Well documented
● Samples
● API documentation
– YUI doc system for nodejs

9. https://github.com/rpbouman/xmla4js.git
Easy to integrate
● No dependencies
● AMD en CommonJS module compliant
● Runs in browsers as well as Node.js

10. https://github.com/rpbouman/xmla4js.git
Undogmatic and Flexible
● setOptions or pass config object per request
● Listeners vs Callbacks
● generic vs specific requests
● Synchronous vs asynchronous
● Programmatic vs raw requests / responses
● Bulk collection or manual iteration of results
● Collect results as arrays, objects or custom
● Iteration through iterators or loops

11. https://github.com/rpbouman/xmla4js.git
setOptions vs config object
var xmla = new Xmla({
url: "http://localhost:8080/pentaho/Xmla",
});
xmla.setOptions({
async: false,
requestTimeout: 30000
});
xmla.discoverDataSources({
async: false,
requestTimeout: 30000
});

12. https://github.com/rpbouman/xmla4js.git
addListener vs request callbacks
xmla.addListener(name, handler[, scope]);
xmla.addListener({
event: "discover",
handler: function(event, data, xmla){
...
},
}, {
events: ["error", "success"],
handler: function(event, data, xmla){
...
}
});
xmla.addListener({
request: function(event, data, xmla){
...
},
error: function(event, data, xmla){
...
},
success: function(event, data, xmla){
...
},
scope: ...
});
xmla.discoverDataSources({
success: function(xmla, request, response){
...
},
error: function(xmla, request, exception){
...
},
callback: function(
event, xmla, request, data
){
...
}
});

13. https://github.com/rpbouman/xmla4js.git
Generic vs specific requests
xmla.request({
method: "Discover",
requestType: "DISCOVER_DATASOURCES"
});
xmla.discover({
requestType: "DISCOVER_DATASOURCES"
});
xmla.request({
method: "Execute",
statement: "SELECT FROM SteelWheelsSales",
properties: {
DataSourceInfo: "Pentaho",
Catalog: "SteelWheels"
}
});
xmla.execute({
statement: "SELECT FROM SteelWheelsSales",
properties: {
DataSourceInfo: "Pentaho",
Catalog: "SteelWheels",
Format: "Multidimensional"
}
});
xmla.execute({
statement: "SELECT FROM SteelWheelsSales",
properties: {
DataSourceInfo: "Pentaho",
Catalog: "SteelWheels",
Format: "Tabular"
}
});
xmla.discoverDataSources();
xmla.executeMultiDimensional({
statement: "SELECT FROM SteelWheelsSales",
properties: {
DataSourceInfo: "Pentaho",
Catalog: "SteelWheels"
}
});
xmla.executeTabular({
statement: "SELECT FROM SteelWheelsSales",
properties: {
DataSourceInfo: "Pentaho",
Catalog: "SteelWheels"
}
});