Elizabeth Thompson cc6cf348c7 fix(datasets): log datetime format-detection DB query failures at WARNING (SC-115217)
DatetimeFormatDetector.detect_column_format() already handles any failure
during best-effort datetime format sampling by returning None -- format
detection has zero user-facing impact when skipped. It used a single
broad except Exception around the whole method body, so an expected,
already-handled failure while actually querying the target database
(bad connection config, transient outage, permission errors) was logged
via logger.exception() (ERROR + full traceback), which Sentry's logging
integration captures on every occurrence.

The specific trigger is a customer's misconfigured BigQuery connection
rejecting the sampling query with a 400 ("Cannot parse '' as CloudRegion"),
flooding Sentry ~90k times across 24 users since 2025-12 with a condition
that is fully recoverable and has no user impact.

Wrap only the database.get_df() call in its own try/except, logging at
WARNING instead -- matching the level already used for the sibling
"No data returned"/"Could not detect format" cases a few lines below.
The outer except Exception is unchanged, so genuine internal bugs (SQL
building, quoting, etc.) still log at ERROR and stay actionable.

Fixes SUPERSET-PYTHON-YDB

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-24 15:31:48 +00:00
2024-04-15 11:21:42 -06:00

Superset

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A modern, enterprise-ready business intelligence web application.

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  • User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
  • Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
  • Developer Guide — Contribute to Superset or build on its REST API and extension framework.

Why Superset? | Supported Databases | Release Notes | Get Involved | Resources | Organizations Using Superset

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

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Video Overview

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Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

Amazon Athena   Amazon DynamoDB   Amazon Redshift   Apache Doris   Apache Drill   Apache Druid   Apache Hive   Apache Impala   Apache Kylin   Apache Pinot   Apache Solr   Apache Spark SQL   Ascend   Aurora MySQL (Data API)   Aurora PostgreSQL (Data API)   Azure Data Explorer   Azure Synapse   ClickHouse   Cloudflare D1   CockroachDB   Couchbase   CrateDB   Databend   Databricks   Denodo   Dremio   DuckDB   Elasticsearch   Exasol   Firebird   Firebolt   Google BigQuery   Google Sheets   Greenplum   Hologres   IBM Db2   IBM Netezza Performance Server   MariaDB   Microsoft SQL Server   MonetDB   MongoDB   MotherDuck   OceanBase   Oracle   Presto   RisingWave   SAP HANA   SAP Sybase   Shillelagh   SingleStore   Snowflake   SQLite   StarRocks   Superset meta database   TDengine   Teradata   TimescaleDB   Trino   Vertica   YDB   YugabyteDB

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Try out Superset's quickstart guide or learn about the options for production deployments.

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Contributor Guide

Interested in contributing? Check out our Developer Guide to find resources around contributing along with a detailed guide on how to set up a development environment.

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JavaScript 0.3%
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