Pipelines now supports SQL transformations and Apache Iceberg
Cloudflare Pipelines is a new streaming data platform that ingests events via HTTP or Worker bindings, transforms them with SQL, and writes to R2 as Apache Iceberg tables or Parquet files with exactly-once delivery guarantees. This enables users to build analytics-ready data warehouses for logs, events, and telemetry without managing streaming infrastructure.
Today, we're launching the new Cloudflare Pipelines: a streaming data platform that ingests events, transforms them with SQL, and writes to R2 as Apache Iceberg ↗ tables or Parquet files.
Pipelines can receive events via HTTP endpoints or Worker bindings, transform them with SQL, and deliver to R2 with exactly-once guarantees. This makes it easy to build analytics-ready warehouses for server logs, mobile application events, IoT telemetry, or clickstream data without managing streaming infrastructure.
For example, here's a pipeline that ingests clickstream events and filters out bot traffic while extracting domain information:
INSERT into events_table
SELECT
user_id,
lower(event) AS event_type,
to_timestamp_micros(ts_us) AS event_time,
regexp_match(url, '^https?://([^/]+)')[1] AS domain,
url,
referrer,
user_agent
FROM events_json
WHERE event = 'page_view'
AND NOT regexp_like(user_agent, '(?i)bot|spider');
Get started by creating a pipeline in the dashboard or running a single command in Wrangler:
npx wrangler pipelines setup
Check out our getting started guide to learn how to create a pipeline that delivers events to an Iceberg table you can query with R2 SQL. Read more about today's announcement in our blog post ↗.
Source: original entry ↗
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