HDFS data output
This article provides an introduction to HDFS along with a guide on how to create an HDFS data output using Upsolver.
Last updated
This article provides an introduction to HDFS along with a guide on how to create an HDFS data output using Upsolver.
Last updated
Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation.
It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
As HDFS provides better data throughput than traditional file systems, in addition to high fault tolerance and native support of large datasets, it is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.
1. Go to the Outputs page and click New.
2. Select HDFS as your output type.
3. Name your output and select whether the output should be Tabular or Hierarchical. After adding your Data Sources, click Next.
Click Properties to review this output's properties. See: Output properties
4. Click the information iconin the fields tree to view information about a field. The following will be displayed:
How many of the events in this data source include this field, expressed as a percentage (e.g. 20.81%).
The percentage distribution of the field values. These distribution values can be exported by clicking Export.
5. Click the information iconnext to a hierarchy element (such as the overall data) to review the following metrics:
The number of fields in the selected hierarchy.
Toggle from UI to SQL at any point to view the corresponding SQL code for your selected output.
You can also edit your output directly in SQL. See: Transform with SQL
7. Add any required calculated fields and review them in the Calculated Fields tab. See: Adding Calculated Fields
8. Add any required lookups and review them under the Calculated Fields tab.
9. Through the Filters tab, add a filter like WHERE in SQL to the data source.
See: Adding Filters
10. Click Make Aggregated to turn the output into an aggregated output. Read the warning before clicking OK and then add the required aggregation. This aggregation field will then be added to the Schema tab. See: Aggregation Functions
11. In the Aggregation Calculated Fields area under the Calculated Fields tab, add any required calculated fields on aggregations. See: Functions, Aggregation Functions
Click Preview at any time to view a preview of your current output.
12. Click Run and fill out the following fields:
Output Format
HDFS connection: How to create an HDFS connection
See: Running an output
13. Click Next and complete the following:
Select the compute cluster to run the calculation on. Alternatively, click the drop-down and create a new compute cluster.
14. Finally, click Deploy to run the output. It will show as Running in the output panel and is now live in production and consumes compute resources.
If you have trouble deploying your output, please contact Upsolver for support.
6. Click the plus iconin the fields tree to add a field from the data source to your output. This will be reflected under the Data Source Field in the Schema tab. If required, modify the Output Column Name.
