[轉]Pentaho:Create a Report with MongoDB

newknight發表於2014-02-08

Create a Report with MongoDB

How to create a report that uses data from a collection in MongoDB. By the end of this guide you should understand how data can be read from MongoDB and used in a report. The data we are going to use contains data about the flow of visitors to a web site. This guide shows how to create a report that shows the most popular landing pages for the sample web site.

Prerequisites

In order follow along with this how-to guide you will need the following:

MongoDB

A single-node local cluster is sufficient for these exercises but a larger and/or remote configuration will work as well. You will need to know the address and port that MongoDB is running on and have a user id and password for the server (if applicable).These guides were developed using the MongoDB version 2.0.2. You can find MongoDB downloads here: http://www.mongodb.org/downloads

Kettle

A desktop installation of the Kettle design tool called 'Spoon'. Download here.

Pentaho Report Designer

Pentaho Report Designer (PRD) is a desktop tool for creating highly formatted reports that can be exported to many popular formats. Reports created with PRD can be published to a Pentaho BI Server so they can be accessed using a browser. Download here.

Data

To follow this guide you need to have a populated MongoDB collection. If you do not have any data in MongoDB yet you can use the Write Data To MongoDB guide to add some data to your MongoDB installation. The instructions in this guide assume that the demo data set is available in a collection called PageSuccessions in a database called Demo.

Step-By-Step Instructions

We will create the report using two tools. First we will use Spoon to create a data transformation that selects data from MongoDB and sorts it into descending order. Then we will use PRD to create a report using the data transformation as its data source.

Setup

Start MongoDB if is not running.

Create a Data Transformation

Start Spoon on your desktop. Once it is running choose 'File' -> 'New' -> 'Transformation' from the menu system or click on the 'New file' icon on the toolbar and choose the 'Transformation' option.

Speed TipYou can download the Kettle Transform top_landing_pages.ktr already completed

Add a MongoDB Input Step: We are going to read data from MongoDB, so expand the 'Big Data section of the Design palette and drag a 'MongoDb Input' step onto the transformation canvas.
Edit the MongoDb Input Step: Double-click on the 'MongoDb Input' step to edit its properties. Enter this information:
Host name, Port, Authentication user and password: the connection information for your MongoDB installation.
Database: 'Demo' or another database if you want.
Collection: 'PageSuccessions'
Query expression: { "$query" : { "url" : "--firstpage--" }, "$orderby" : { "Count" : -1 } }The window should look like this:Click 'OK' to close the 'MongoDB Input' window.
Preview the Data: Click on the Preview toolbar button (the green arrow with the magnifying glass ) or right-click on the step and choose 'Preview'. The 'Transformation debug dialog' will open. Click on 'Quick Launch'. You will should see the data returned by the 'MongoDB Input' step.Congratulations! You've read data from MongoDB. Close the preview window.
Add a JSON Input Step: The data from the 'MongoDB Input' step has a JSON document in each row. To work with the data in these documents we need to use a 'JSON Input' step to extract the fields that we are interested in. Expand the 'Input' section and drag a 'JSON Input' step onto the canvas.
Connect the MongoDB and JSON Steps: Hover the mouse over the 'MongoDb Input' step and a tooltip will appear. Click on the output connector (the green arrow pointing to the right) and drag a connector arrow to the 'Json Input' step. Your canvas should look like this:
Edit the JSON Step: Double-click on the 'Json Input' step to edit it's properties. On the 'File' tab choose 'json' from the 'Get source from field' dropdown list.On the 'Fields' tab, enter this information:Click 'OK' to close the 'Json input' window.
Preview the JSON Input: Preview the 'Json Input' step as we did about with the 'MongoDb Input' step. You will see the JSON documents as before, but if you scroll the table to the right you will see new fields for URL, NextURL, and Count. Notice the data is sorted into descending order by the Count field. Close the preview window.
Save the Transformation: Choose 'File' -> 'Save as...' from the menu system. Save the transformation as 'top_landing_pages.ktr' into a folder of your choice.
Run the Transformation: Choose 'Action' -> 'Run' from the menu system or click on the green run button on the transformation toolbar. A 'Execute a transformation' window will open. Click on the 'Launch' button. An 'Execution Results' panel will open at the bottom of the Spoon window and it will show you the progress of the transformation as it runs. After a few seconds the transformation should finish successfully:If any errors occurred the transformation step that failed will be highlighted in red and you can use the 'Logging' tab to view error messages.

Start Pentaho Report Designer

When PRD starts click on the 'Report Wizard' button or choose 'File' -> 'Report Wizard...' from the menu.
Select a Template: On the 'Look and Feel' stage of the wizard select a report template and click on 'Next'
Add a Data Source: On the 'Data Source' stage click on the '+' icon in the top right to add a new data source.
Choose the Data Source Type: From the 'Choose Type' list click on 'Pentaho Data Integration'.
Add a Query: In the 'Pentaho Data Integration Data Source' window click on the '+' icon to add a new query. A default query, called 'Query 1' is added. Change the name of the query to 'Top Landing Pages'. Then click on the 'Browse' button and select the 'top_landing_pages.ktr' file created above. Finally select the 'Json Input' step.If you want you can click the 'Preview' button to see the data generated by the 'Json Input' step. Click on 'OK' to close the 'Pentaho Data Integration Data Source' window.
Select the Query: In the 'Report Design Wizard' click on the 'Top Landing Pages' query to select it and then click on the 'Next' button.
Layout the Fields: In the 'Layout Step' of the wizard click on 'NextURL' then click on the button to add 'NextURL' to the 'Selected Items' box. Now add 'Count' to the 'Selected Items' box. This will position these two fields as two columns in the report.Click on the 'Next' button.
Format the Fields: In this step you can change the formatting of the fields. Click on the 'NextURL' field to highlight it. Change the Display Name to 'Web Page'. Then click on 'Count' to highlight it. Change the data format to '#,###;(#,###)' and select 'Sum' from the 'Aggregation' list.
Finish the Wizard: Click on 'Finish'. The wizard will close and you will see your report in design mode.
Change the Titles: Double-click on the report title and change it to 'Top Landing Pages'. Double-click on the first subtitle and change it to 'In descending order'. Double-click on the second subtitle and remove the text. Notice that there are lot of style properties you can set for these report elements.
Preview the Report: Click on the preview icon (the eye towards the top left) to preview your report. Notice that the rows of data are sorted into descending order. You can page through the report. At the end of the last page you will see the total for the page counts.Click on the design icon (where the preview icon used to be) to return to design mode.
Run or Export the Report: Click on the run button (green arrow on the toolbar) or choose 'File' -> 'Export' from the menu system. Select the output format for your report. If you used the run button the report will run and the appropriate application will be opened to view the report. If you chose the export option you will be prompted for the location and name of the file that will be exported.

Check The Results
Using the run or export options you will be able to create and view PDF, Excel, HTML, and other file types. Try these options and check that the exported files contain the expected data.