Qubole data output
This article provides an introduction to Qubole along with a guide on how to create a Qubole data output using Upsolver.
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This article provides an introduction to Qubole along with a guide on how to create a Qubole data output using Upsolver.
Last updated
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Qubole is an open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics.
1. Go to the Outputs page and click New.
2. Select Qubole as your output type.
3. Name your output and select your Data Sources, then click Next.
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.
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 along with the Column Type.
Note: All numbers are mapped to doubles by default. Change this to BIGINT if you know that your numbers are integers.
8. Add any required lookups and review them under the Calculated Fields tab.
12. Partition the data by clicking More > Manage Partitions and then selecting the following:
Key: Partitions the data table using one or more fields (or calculated fields)
Partitioning Time: Partitions the data table using a specific time field
13. To keep only the latest event per upsert key, click More > Manage Upserts then select the following:
Keys: A unique key identifying a row in the table
Deletions: The delete key (events with the value true in their deletion key field will be deleted)
14. Click Run and fill out the following fields:
S3 Storage: The storage for the data of the table; the access key of this storage must belong to the same AWS account as the access key of the selected connection
Database Name
Table Name
15. Click Next and complete the following:
16. 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.
You have now successfully outputted your table to Qubole.
7. Add any required calculated fields and review them in the Calculated Fields tab. See:
9. Through the Filters tab, add a filter like WHERE in SQL to the data source.
See:
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:
11. In the Aggregation Calculated Fields area under the Calculated Fields tab, add any required calculated fields on aggregations. See: ,
See: ,
Connection:
See:
Select the compute cluster to run the calculation on. Alternatively, click the drop-down and .
