Install
$ agentstack add skill-redpanda-data-skills-rpk-transform ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
rpk transform: Data Transforms (Wasm)
Redpanda Data Transforms let you run WebAssembly functions directly inside the broker to filter, scrub, transcode, or route records from an input topic to one or more output topics — with no separate stream-processing infrastructure. The Wasm VM runs on the same CPU core (shard) as the partition leader; JIT compilation gives near-native performance. Transforms have at-least-once delivery semantics.
Supported languages: TinyGo (no goroutines), TinyGo (with goroutines), Rust, JavaScript, TypeScript.
Key constraints: no external network or disk access from inside the transform, up to 8 output topics, single-record transforms only (for joins/aggregations use Redpanda Connect).
Quickstart
# 0 — enable data transforms on the cluster (required once, triggers rolling restart)
rpk cluster config set data_transforms_enabled true
# 1 — create the input and output topics first
rpk topic create input-topic output-topic --partitions 3
# 2 — scaffold a Go transform project
rpk transform init my-transform --language=tinygo-no-goroutines --name=my-transform
cd my-transform
# 3 — (optional) edit transform.go — default pass-through template works out of the box
# 4 — build the Wasm binary
# TinyGo buildpack is fetched automatically; Rust/JS deps require --install-deps at init or manual install
rpk transform build
# 5 — deploy: reads transform.yaml; prompts for topics if not set there
rpk transform deploy --input-topic input-topic --output-topic output-topic
# or deploy the .wasm file directly without transform.yaml in cwd
rpk transform deploy \
--file my-transform.wasm \
--name my-transform \
--input-topic input-topic \
--output-topic output-topic
# 6 — verify the deploy
rpk transform list
# 7 — produce a test record and watch the output topic
echo '{"hello":"world"}' | rpk topic produce input-topic
rpk topic consume output-topic --num 1
# 8 — view transform logs (stdout/stderr captured to _redpanda.transform_logs)
rpk transform logs my-transform --since=-1h
rpk transform logs my-transform --follow
# 9 — pause / resume without deleting
rpk transform pause my-transform
rpk transform resume my-transform
# 10 — delete the transform
rpk transform delete my-transform
The rpk transform command group is also available as rpk wasm (alias for backward compatibility).
Enabling Transforms
Data transforms are disabled by default. Before deploying any transform:
rpk cluster config set data_transforms_enabled true
This triggers a rolling restart and may take several minutes.
Redpanda Cloud Applicability
- Availability: the Redpanda Cloud docs state data transforms are supported on BYOC and Dedicated clusters running Redpanda 24.3+. Serverless is not listed as supported — do not advise deploying transforms to a Serverless cluster.
- Enabling: the command is the same —
rpk cluster config set data_transforms_enabled true— but on Cloud it goes through the Cloud control plane, not the broker Admin API. Runrpk cloud loginand select the target cluster first. Self-service cluster properties on Cloud require rpk 25.1.2+ and Redpanda 25.1.2+, and are available only on BYOC/Dedicated clusters on AWS and GCP — not on Azure clusters and not on Serverless. Properties that require a restart (this one does) trigger a long-running Cloud operation that can take several minutes;rpk cluster config setreturns the operation ID. - Managed tuning: only a curated subset of
data_transforms_*cluster properties is settable in Cloud (at verification time:data_transforms_enabled,data_transforms_binary_max_size,data_transforms_per_core_memory_reservation,data_transforms_per_function_memory_limit,data_transforms_logging_line_max_bytes). The rest (for exampledata_transforms_commit_interval_ms,data_transforms_runtime_limit_ms) are managed by Redpanda; setting an unsupported property returnsREASON_INVALID_INPUT. Check the Redpanda Cloud "Cluster Configuration Properties" reference page for the current list. - The lifecycle commands (
rpk transform init/build/deploy/list/logs/delete) work against a Cloud cluster once your rpk profile points at it; the Cloud UI can also view logs and delete transforms. - TODO (unverified): the Cloud rpk reference does not document
rpk transform pause/resume(the self-managed reference does). Whether pause/resume work on Cloud clusters is unconfirmed in the docs — verify on a live cluster before advising. - TODO (unverified): the docs do not state how to enable transforms on Azure BYOC/Dedicated clusters, where self-service cluster properties are unavailable (possibly via Redpanda Support).
Project Layout
rpk transform init creates transform.yaml (with only name and language) plus language-specific scaffolding. The files generated per language are:
- TinyGo:
transform.yaml,transform.go,go.mod,README.md.go.sumappears only after dependency install (go mod tidy, triggered by--install-depsor the post-init prompt). - Rust:
transform.yaml,Cargo.toml,README.md,src/main.rs,.cargo/config.toml. - JavaScript:
transform.yaml,package.json,README.md,esbuild.js,src/index.js. - TypeScript: same as JavaScript plus
tsconfig.jsonandsrc/index.ts.
my-transform/ # TinyGo example
├── transform.yaml # name + language (init writes these two fields only)
├── transform.go # boilerplate with OnRecordWritten callback
├── go.mod
└── README.md
transform.yaml
rpk transform init writes only name and language. The other fields are added by the user and all are overridable by CLI flags at deploy time. --from-offset is a CLI-only deploy flag and is not a transform.yaml field.
name: my-transform
language: tinygo-no-goroutines # or tinygo-with-goroutines, rust, javascript, typescript
description: "Optional description"
input-topic: input-topic
output-topics:
- output-topic
env:
MY_VAR: "some-value" # max 128 vars, keys must not start with REDPANDA_
compression: none # none | gzip | snappy | lz4 | zstd
Supported Languages
| Flag value | Description | |---|---| | tinygo-no-goroutines | Higher throughput; no goroutine support | | tinygo-with-goroutines | Goroutines via asyncify scheduler (~10x slower) | | rust | Full Rust with redpanda-transform-sdk crate | | javascript | JS via @redpanda-data/transform-sdk npm package | | typescript | TypeScript, compiled via esbuild |
Command Reference
rpk transform init
rpk transform init [DIRECTORY] [flags]
Flags:
-l, --language string Language (tinygo-no-goroutines, tinygo-with-goroutines, rust, javascript, typescript)
--name string Transform name
--install-deps Install language dependencies (rustup target add, cargo add, npm install, go mod tidy); default: interactive prompt
Initializes project files in the current directory (or the named subdirectory). Creates transform.yaml and boilerplate source.
rpk transform build
rpk transform build [-- ]
Reads transform.yaml in the current directory, installs the appropriate buildpack, and produces .wasm. For TinyGo: uses -opt=2 -llvm-features=+simd128 -no-debug by default. For Rust: runs cargo build --release; the wasm32-wasip1 target is supplied by the generated .cargo/config.toml (not passed on the command line by rpk). For JS/TS: npm run build then bundles via esbuild and wasm-merge.
Pass extra flags after -- to forward to the underlying toolchain:
# Add TinyGo debug symbols
rpk transform build -- -no-debug=false
rpk transform deploy
rpk transform deploy [flags]
Flags:
-i, --input-topic string Input topic
-o, --output-topic strings Output topic(s) — repeatable, up to 8
--name string Transform name (overrides transform.yaml)
--file string Path or URL to .wasm file (skips transform.yaml lookup)
--var KEY=VALUE Environment variable — repeatable
--compression string Output batch compression: none|gzip|snappy|lz4|zstd (default: none)
--from-offset string Starting offset: @, +, -
When run in the same directory as transform.yaml, reads config from that file; CLI flags take precedence. When --file is provided, both https:// and http:// URLs are accepted — the binary is fetched over the network and deployed into the broker; prefer https:// and a trusted source.
Reprocessing with --from-offset
The --from-offset flag is only honored on the first deploy of a transform name. To reprocess existing records with an existing transform, delete it first, then redeploy with the flag.
# Start from offset 0 of each partition
rpk transform deploy --from-offset +0
# Start 100 records before the end of each partition
rpk transform deploy --from-offset -100
# Start from a Unix millisecond timestamp
rpk transform deploy --from-offset @1617181723000
rpk transform list
rpk transform list [flags] (alias: ls)
Flags:
-d, --detailed Print per-partition processor status (partition, node, status, lag)
--format json|yaml|text|wide|help (default: text)
Shows all deployed transforms: name, input topic, output topic(s), running processors (e.g. 3 / 3), and total lag.
rpk transform logs
rpk transform logs NAME [flags] (alias: log)
Flags:
-f, --follow Stream new logs continuously
--since string Start time (now, -1h, 2024-03-12, 2024-03-12T12:00:00Z, Unix ms/s)
--until string End time (same formats)
--head int First N log entries
--tail int Last N log entries (mutually exclusive with --follow)
--format string text|wide|json (default: text)
Reads from the internal _redpanda.transform_logs topic. STDOUT from the transform emits at INFO level; STDERR emits at WARN level. --format=wide includes timestamp and level prefix. --format=json emits OpenTelemetry LogRecord JSON.
# Last hour of logs
rpk transform logs my-transform --since=-1h
# Logs between two timestamps
rpk transform logs my-transform \
--since=2024-03-12T12:00:00Z \
--until=2024-03-12T13:00:00Z
# Stream in real time with wide format
rpk transform logs my-transform --follow --format=wide
rpk transform pause / resume
rpk transform pause NAME
rpk transform resume NAME
Pause suspends execution without deleting the transform. Processors show as inactive in rpk transform list. Resume restarts them from the last committed offset.
rpk transform delete
rpk transform delete NAME [--no-confirm]
Permanently removes a transform and its committed offset state. Prompts for confirmation unless --no-confirm is set. After deletion, a re-deploy with --from-offset will reprocess from the specified position.
Built-In Environment Variables
Redpanda injects these automatically into every transform at runtime:
| Variable | Value | |---|---| | REDPANDA_INPUT_TOPIC | The configured input topic | | REDPANDA_OUTPUT_TOPIC_0 | First output topic | | REDPANDA_OUTPUT_TOPIC_N | Nth output topic (0-indexed) |
Custom variables must not start with REDPANDA_, must be `.
Monitoring Metrics
All transform metrics carry a function_name label. Note: transform_name is the log-record attribute key in _redpanda.transform_logs JSON, not a Prometheus label — use function_name in PromQL. redpanda_transform_state also carries a state label (running|inactive|errored).
| Metric | What it measures | |---|---| | redpanda_transform_execution_latency_sec | Transform execution latency histogram | | redpanda_transform_execution_errors | Count of execution errors | | redpanda_transform_failures | Count of transform function failures | | redpanda_transform_state | Count of processors in each state; state label = running\|inactive\|errored | | redpanda_transform_processor_lag | Records pending processing | | redpanda_transform_read_bytes | Bytes read from input topic | | redpanda_transform_write_bytes | Bytes written to output topic(s) | | redpanda_wasm_engine_cpu_seconds_total | Wasm engine CPU time | | redpanda_wasm_engine_memory_usage | Current Wasm memory usage | | redpanda_wasm_engine_max_memory | Configured Wasm memory limit | | redpanda_wasm_binary_executable_memory_usage | JIT-compiled binary memory |
Enterprise Features for Transform Topics
The transform feature itself is free (BSL) — data_transforms_enabled needs no license. But the input/output topics a transform reads and writes commonly use Redpanda Enterprise features (all require a valid Enterprise license; check with rpk cluster license info):
| Feature | Key config | Relevance to transforms | |---|---|---| | Iceberg Topics | iceberg_enabled (cluster); topic redpanda.iceberg.mode (disabled\|key_value\|value_schema_id_prefix\|value_schema_latest), redpanda.iceberg.delete, redpanda.iceberg.invalid.record.action (drop\|dlq_table), redpanda.iceberg.partition.spec, redpanda.iceberg.target.lag.ms | Route transformed (SR-wire-format) records into an Iceberg output topic so cleaned data lands directly in lakehouse tables — no separate ETL. Requires Tiered Storage on the topic. | | Tiered Storage | cloud_storage_enabled (cluster); topic redpanda.remote.read / redpanda.remote.write / redpanda.remote.delete | Long-term object-storage backing for transform input/output topics; prerequisite for Iceberg. | | Server-side Schema ID Validation | enable_schema_id_validation = none\|redpanda\|compat (cluster); topic redpanda.{key,value}.schema.id.validation, redpanda.{key,value}.subject.name.strategy | Broker drops transform output records whose encoded schema ID is unregistered. | | Leadership Pinning | default_leaders_preference (cluster); topic redpanda.leaders.preference = none\|racks:…\|ordered_racks:… | Transform processors run on the input partition leader; pins which AZs/racks they execute in. | | RBAC / Audit Logging | rpk security role …; audit_enabled | Role-based control over who deploys/manages transforms and reads/writes their topics; audit of admin operations. |
See [enterprise-output-topics.md](references/enterprise-output-topics.md) for the full nested config keys, modes, defaults, and license-expiration behavior.
Reference Directory
- [develop-and-build.md](references/develop-and-build.md): Project init, language templates, SDK API patterns (Go/Rust/JS), error handling, multi-topic routing, and Schema Registry integration inside a transform.
- [deploy-and-operate.md](references/deploy-and-operate.md): Full deploy flags, reprocessing with --from-offset, sharing Wasm binaries via URL, list/logs/pause/resume/delete, cluster config properties, and monitoring metrics.
- [enterprise-output-topics.md](references/enterprise-output-topics.md): Enterprise features for a transform's input/output topics (all require an Enterprise license) — Iceberg Topics (
redpanda.iceberg.*modes/keys), Tiered Storage (redpanda.remote.*), server-side Schema ID Validation (enable_schema_id_validation,redpanda.{key,value}.schema.id.validation), Leadership Pinning (redpanda.leaders.preference), and RBAC / Audit Logging, with cluster vs. topic keys and license-expiration behavior.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: redpanda-data
- Source: redpanda-data/skills
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.