githubEdit

Searchable-table

A Searchable Table lets you explore large datasets with search, filters, and pagination. Use it for investigation and validation.

The Searchable Table is used to explore, filter, and inspect large datasets. It helps you quickly find specific records by searching across columns and applying filters.

It’s ideal for:

  • Metrics inspection

  • Log review

  • Event tracking

  • Alert analysis

What it represents

  • Each row represents one record in the dataset.

  • Each column represents one attribute (time, instance, service, value).

It shows raw, detailed data in a structured and interactive format.

The search box lets you:

  • Search across all visible columns

  • Instantly filter matching rows

Column-based filters

Filters let you:

  • Narrow results by time, value, or labels

  • Include or exclude specific field values

  • Focus on relevant data

This enables precise exploration without changing the underlying query.

Pagination

Large datasets are split into pages to:

  • Improve performance

  • Make browsing manageable

You can move between pages to view more records.

What this visualization tells you

The Searchable Table is designed for deep investigation. It lets you:

  • Inspect individual data points

  • Validate metric values

  • Debug issues

  • Audit system behavior

When to use Searchable Table

Use a Searchable Table when:

  • You need row-level visibility

  • You are troubleshooting

  • You need to explore large datasets

circle-info

Use a normal Table when you just need a static grid. Use Searchable Table when you need fast filtering and exploration.

Last updated

Was this helpful?