Upsolver
Contact Support
  • Welcome to Upsolver
  • Getting Started
    • Start using Upsolver for free
    • Get started as a Upsolver user
      • Upsolver in 5 minutes
        • Upsolver Quickstart in 5 minutes
          • Additional sandbox fun
        • Amazon Athena data output
        • MySQL (AWS RDS) data output
        • Local MySQL data output
      • Upsolver free training
        • Introduction to Upsolver
          • Transform and write data to Amazon Athena
          • Pre-aggregate data for efficiency and performance
          • UPSERT streaming data to Amazon Athena
      • Prerequisites for AWS deployment
      • AWS integration
      • Deploy Upsolver on your AWS account
      • Prerequisites for Azure Deployment
      • Azure Integration
        • Prerequisites for Azure Users
        • Log into Upsolver
        • Log into Azure & Authenticate
        • Set Up and Deploy Azure Resources
        • Delegate Resource Group, and Deploy Upsolver in Azure
        • Integrate Azure with Upsolver
    • Upsolver concepts
      • Deployment models
      • Upsolver components
      • Data ingestion
    • Upsolver Amazon AWS deployment guide
      • Private VPC
      • Upsolver VPC
      • AWS role permissions
      • VPC peering
    • Tutorials and FAQ
      • Tutorials
        • How To Re-process Data
        • Create an Amazon S3 data source
        • Create an Amazon Athena data output
        • Join multiple data streams for real-time analytics
        • Use Upsolver to index less data into Splunk
        • Upsert and delete use case
        • AWS S3 to Athena use case
        • Merge data use case
        • Full vs. Partial Inbound Data Records
      • FAQ
      • Infrastructure
        • What is a dry-run cluster?
    • Glossary
      • Language guide
        • SQL syntax reference
        • Functions
          • Aggregation Functions
            • APPROX_COUNT_DISTINCT
            • APPROX_COUNT_DISTINCT_EACH
            • AVG
            • AVG_EACH
            • AVG_TIME_SERIES
            • COLLECT_SET
            • COLLECT_SET_EACH
            • COUNT
            • COUNT(*)
            • COUNT_DISTINCT
            • COUNT_EACH
            • COUNT_IF
            • DECAYED_SUM
            • DYNAMIC_SESSIONS
            • FIRST
            • FIRST_ARRAY
            • FIRST_EACH
            • FIRST_TIME_SERIES
            • LAST
            • LAST_ARRAY
            • LAST_EACH
            • LAST_K
            • LAST_K_EACH
            • LAST_TIME_SERIES
            • MAX
            • MAX_BY
            • MAX_EACH
            • MAX_TIME_SERIES
            • MIN
            • MIN_BY
            • MIN_EACH
            • MIN_TIME_SERIES
            • SESSION_COUNT
            • STD_DEV
            • STD_DEV_EACH
            • STRING_MAX_EACH
            • STRING_MIN_EACH
            • SUM
            • SUM_EACH
            • SUM_TIME_SERIES
            • WEIGHTED_AVERAGE
          • Calculated functions
            • Aerospike functions
            • Array functions
            • Conditional functions
            • Date functions
            • External API functions
            • Filter functions
            • Numeric functions
            • Spatial functions
            • String functions
            • Structural functions
              • ZIP
            • Type conversion functions
      • Data formats
      • Data types and features
      • Database output options
      • Upsolver shards
      • Permissions list
      • Index
    • Troubleshooting
      • My CloudFormation stack failed to deploy
      • My private API doesn't start or I can't connect to it
        • Elastic IPs limit reached
        • EC2 Spot Instance not running
        • DNS cache
        • Security group not open
      • My compute cluster doesn't start
      • I can't connect to my Kafka cluster
      • I can't create an S3 data source
      • Data doesn't appear in Athena table
      • I get an exception when querying my Athena table
      • Unable to define a JDBC (Postgres) connection
  • Connecting data sources
    • Amazon AWS data sources
      • Amazon S3 data source
        • Quick guide: S3 data source
        • Full guide: S3 data source
      • Amazon Kinesis Stream data source
      • Amazon S3 over SQS data source
      • Amazon AppFlow data source
        • Setup Google Analytics client ID and client secret.
    • Microsoft Azure data sources
      • Azure Blob storage data source
      • Azure Event Hubs data source
    • Kafka data source
    • Google Cloud Storage data source
    • File upload data source
    • CDC data sources (Debezium)
      • MySQL CDC data source
        • Binlog retention in MySQL
      • PostgreSQL CDC database replication
    • JDBC data source
    • HDFS data source
    • Data source UI
    • Data source properties
  • Data outputs and data transformation
    • Data outputs
      • Amazon AWS data outputs
        • Amazon S3 data output
        • Amazon Athena data output
          • Quick guide: Athena data output
          • Full guide: Athena data output
          • Output all data source fields to Amazon Athena
        • Amazon Kinesis data output
        • Amazon Redshift data output
        • Amazon Redshift Spectrum data output
          • Connect Redshift Spectrum to Glue Data Catalog
        • Amazon SageMaker data output
      • Data lake / database data outputs
        • Snowflake data output
          • Upsert data to Snowflake
        • MySQL data output
        • PostgreSQL data output
        • Microsoft SQL Server data output
        • Elasticsearch data output
        • Dremio
        • PrestoDB
      • Upsolver data output
      • HDFS data output
      • Google Storage data output
      • Microsoft Azure Storage data output
      • Qubole data output
      • Lookup table data output
        • Lookup table alias
        • API Playground
        • Serialization of EACH aggregations
      • Kafka data output
    • Data transformation
      • Transform with SQL
        • Mapping data to a desired schema
        • Transforming data with SQL
        • Aggregate streaming data
        • Query hierarchical data
      • Work with Arrays
      • View outputs
      • Create an output
        • Modify an output in SQL
          • Quick guide: SQL data transformation
        • Add calculated fields
        • Add filters
        • Add lookups
          • Add lookups from data sources
          • Add lookups from lookup tables
          • Adding lookups from reference data
        • Output properties
          • General output properties
      • Run an output
      • Edit an output
      • Duplicate an output
      • Stop an output
      • Delete an output
  • Guide for developers
    • Upsolver REST API
      • Create a data source
      • Modify a data source
      • API content formats
    • CI/CD on Upsolver
  • Administration
    • Connections
      • Amazon S3 connection
      • Amazon Kinesis connection
      • Amazon Redshift connection
      • Amazon Athena connection
      • Amazon S3 over SQS connection
      • Google Storage connection
      • Azure Blob storage connection
      • Snowflake connection
      • MySQL connection
      • Elasticsearch connection
      • HDFS connection
      • Qubole connection
      • PostgreSQL connection
      • Microsoft SQL Server connection
      • Spotinst Private VPC connection
      • Kafka connection
    • Clusters
      • Cluster types
        • Compute cluster
        • Query cluster
        • Local API cluster
      • Monitoring clusters
      • Cluster tasks
      • Cluster Elastic IPs
      • Cluster properties
      • Uploading user-provided certificates
    • Python UDF
    • Reference data
    • Workspaces
    • Monitoring
      • Credits
      • Delays In Upsolver pipelines
      • Monitoring reports
        • Monitoring system properties
        • Monitoring metrics
    • Security
      • IAM: Identity and access management
        • Manage users
        • Manage groups
        • Manage policies
      • Git integration
      • Single sign-on with SAML
        • Microsoft Azure AD with SAML sign-on
        • Okta with SAML sign-on
        • OneLogin with SAML sign-on
      • AMI security updates
  • Support
    • Upsolver support portal
  • Change log
  • Legal
Powered by GitBook
On this page

Was this helpful?

  1. Data outputs and data transformation
  2. Data transformation
  3. Create an output

Add filters

This page provides a guide on how to add a filter to outputs in Upsolver.

PreviousAdd calculated fieldsNextAdd lookups

Last updated 4 years ago

Was this helpful?

You can add whitelist and blacklist filters to a lookup table or an output based on calculated fields that are a function of one or more fields. These functions can be a combination of built-in functions and .

To add a filter

1. Click Add Filter or in the Filters tab, click Add Filter.

See: to learn more about a specific filter function.

2. Click Select next to the desired filter function.

3. From the dropdown, select the values to use for each required input. You can also click on the hierarchy iconto review the available fields in your data. Additionally, click on the add iconto add another calculation within this function.

4. Decide whether the Filter Type is:

  • Whitelist: if result True, keep record

  • Blacklist: if result True, discard record

5. Select where to locate the calculated field (e.g. root, data) and name this field. This operation joins the input arrays using a cartesian product.

The fields are typically added at the root level, however on occasion you can opt to co‑locate a field with another element in the hierarchy.

6. Click Preview to review your calculated field before saving; a Field Content Samples panel will appear on the right.

7. To add columns to the preview, click Choose Columns and select the desired columns. Then click Update.

Toggle from From to Code to review the calculated field as code.

8. Click Save.

The resulting filter can now be found in the Filters tab under Whitelist Filters or Blacklist Filters respectively.

your own Python functions
Functions