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bigquery-udfs

Creates, deploys, and troubleshoots BigQuery User-Defined Functions (UDFs) and Remote Functions across SQL, JavaScript, Python, and Cloud Run endpoints.

Skill by googleOfficial

IndexedApache-2.0★ 21,542
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Creates, deploys, and troubleshoots BigQuery User-Defined Functions (UDFs) and Remote Functions across SQL, JavaScript, Python, and Cloud Run endpoints. Use when writing custom scalar or aggregate functions in BigQuery, installing PyPI packages or Cloud Storage libraries in a Python or JavaScript UDF, or calling Google Cloud and external APIs from a Python UDF (WITH CONNECTION) or Remote Function. Don't use for standard BigQuery table/dataset CRUD (use bigquery-basics), DataFrames client workflows (use bigquery-bigframes), or BigQuery ML models (use bigquery-ai-ml).

Use cases: backend, cloud, data, ml

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/bigquery-udfs

What's inside

Skill name
bigquery-udfs
Description
Creates, deploys, and troubleshoots BigQuery User-Defined Functions (UDFs) and Remote Functions across SQL, JavaScript, Python, and Cloud Run endpoints. Use when writing custom scalar or aggregate functions in BigQuery, installing PyPI packages or Cloud Storage libraries in a Python or JavaScript UDF, or calling Google Cloud and external APIs from a Python UDF (WITH CONNECTION) or Remote Function. Don't use for standard BigQuery table/dataset CRUD (use bigquery-basics), DataFrames client workflows (use bigquery-bigframes), or BigQuery ML models (use bigquery-ai-ml).
License
Apache-2.0
Metadata
version: 1.0.0 · category: BigDataAndAnalytics
Instructions
419 lines in SKILL.md · view on GitHub

Files (5)

  • SKILL.md
  • iam-and-quotas.md · references/
  • python-udfs.md · references/
  • remote-functions.md · references/
  • sql-and-js-udfs.md · references/

SKILL.md (first lines)

# BigQuery User-Defined Functions (UDFs)

BigQuery User-Defined Functions (UDFs) extend GoogleSQL with custom logic
written in SQL, JavaScript, managed Python (`python-3.11`), or hosted externally
as Remote Functions on Cloud Run and Cloud Run functions.

## Usage Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read and follow the instructions in
[Usage Attribution](references/attribution.md).

## Choosing the Right UDF Type

Always select the lightest-weight runtime that satisfies the requirement,
because BigQuery optimizes native SQL expressions inline while external runtimes
incur serialization and container startup overhead:

UDF Type                                       | Connection Required?       | When to Use                                                                                                                                                                     | Key Constraints
:--------------------------------------------- | :------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :--------------
**SQL UDF** (Default)                          | No                         | Composable expressions, regex, struct/array manipulation, aggregate functions (`CREATE AGGREGATE FUNCTION`), or polymorphic `ANY TYPE` parameters.                              | Lowest latency; zero external dependencies; supports `TEMP` or persistent functions.
**JavaScript UDF**                             | No                         | Custom string/JSON logic or bundling `.js` libraries from Cloud Storage (`gs://`).                                                                                              | Runs in V8 sandbox; `INT64` unsupported as input (pass as `FLOAT64` or `STRING`). Max 32 KB inline code, 1 MB per external resource. Supports `TEMP` or persistent functions.
**Managed Python UDF (Offline)**               | **No**                     | Pure compute using Python 3.11, PyPI wheels (`packages=[...]`), Cloud Storage `.py` modules (`library=[...]`), or vectorized Pandas/PyArrow batches.                            | Persistent functions only (`CREATE TEMP FUNCTION` unsupported). Outbound network blocked. Max container size: 4 vCPU / 16 GiB. `JSON`, `RANGE`, `INTERVAL`, `GEOGRAPHY` unsupported.
**Managed Python UDF (`WITH CONNECTION`)**     | **Yes** (`CLOUD_RESOURCE`) | Invoking Google Cloud APIs (e.g., Cloud Translation, Gemini Enterprise Agent Platform) or online HTTP endpoints directly from Python inside BigQuery containers.                | Requires `WITH CONNECTION`. Outbound traffic restricted to `restricted.googleapis.com` in VPC-SC perimeters (VPC networks unsupported). Max container size: 4 vCPU / 16 GiB.
**Remote Function (`REMOTE WITH CONNECTION`)** | **Yes** (`CLOUD_RESOURCE`) | Calling external APIs or microservices when you need non-Python runtimes (Go, Java, Node.js), private VPC network access, GPUs, or custom Cloud Run scaling.                    | Requires Cloud Run HTTPS endpoint implementing BigQuery JSON batch contract and `roles/run.invoker`. Max input 5 MB per row; response limit 15 MB (Cloud Run) / 10 MB (1st gen).

## Prerequisites & Setup

Ensure the Google Cloud project has an active billing account attached (see
[BigQuery Pricing](https://docs.cloud.google.com/bigquery/pricing)):

1.  **Install and Authenticate Google Cloud SDK**: Install the
    [Google Cloud SDK](https://docs.cloud.google.com/sdk/docs/install)
    and authenticate:

    ```bash
    gcloud auth login
    ```

    Pass `--project={project_id}` and `--region={region}` (or `--location` for
    `bq`) explicitly on each command instead of running `gcloud config set`,
    which persists beyond the task. Default to `us-central1` when the user has
    not specified a region (see
    [BigQuery Locations](https://docs.cloud.google.com/bigquery/docs/locations.md.txt)).

2.  **Enable Required APIs**:

    -   For SQL, JavaScript, and offline Python UDFs: `bigquery.googleapis.com`
    -   Additionally for Python UDFs calling APIs (`WITH CONNECTION`) and Remote
        Functions: `bigqueryconnection.googleapis.com` (and `run.googleapis.com`
        for Remote Functions)

    ```bash
    CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:bigquery-udfs)" \
    gcloud services enable bigquery.googleapis.com \
      bigqueryconnection.googleapis.com \
      run.googleapis.com --quiet
    ```

3.  **Verify Required IAM Roles**:

    -   **All UDFs**: `roles/bigquery.dataEditor` on the dataset and
        `roles/bigquery.jobUser` on the project.
    -   **When using `WITH CONNECTION` (API-calling Python UDFs & Remote
        Functions)**:
        -   UDF Creator: `roles/bigquery.connectionAdmin` on the project (plus
            `resourcemanager.projects.setIamPolicy`, e.g.,
            `roles/resourcemanager.projectIamAdmin`, when granting project-level
            IAM roles to the connection service account via `GRANT ... ON
            PROJECT`).
        -   UDF Caller: `roles/bigquery.connectionUser` on the connection.

--------------------------------------------------------------------------------

## Core Implementation Patterns

### 1. SQL UDFs (Scalar & Templated)

Use `CREATE OR REPLACE FUNCTION` for persistent UDFs or `CREATE TEMP FUNCTION`
for query-scoped functions. Use `ANY TYPE` for polymorphic parameters:

```sql
CREATE OR REPLACE FUNCTION `{project_id}.{dataset_id}.normalize_phone`(
  raw_phone STRING,
  country_code ANY TYPE
)
RETURNS STRING
AS (
  CONCAT('+', CAST(country_code AS STRING), '-', REGEXP_REPLACE(raw_phone, r'[^0-9]', ''))
);
```

See [SQL and JavaScript UDFs](references/sql-and-js-udfs.md) for aggregate UDFs
(`CREATE AGGREGATE FUNCTION`) and JavaScript Cloud Storage library loading.

### 2. JavaScript UDFs

Use raw triple-quoted strings (`r"""..."""`) to avoid escaping backslashes:

```sql
CREATE OR REPLACE FUNCTION `{project_id}.{dataset_id}.extract_url_query_keys`(
  url_str STRING
)
RETURNS ARRAY<STRING>
DETERMINISTIC
LANGUAGE js
OPTIONS (
  library = ['gs://{bucket_name}/libs/uri-parser.js']
)
AS r"""
  if (!url_str) return [];
  try {
    return URIParser.getQueryKeys(url_str);
  } catch (err) {
    return [];
  }
""";
```

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Last commit (this folder)
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Details

Version
1.0.0
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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bigquery-udfs skill. Agent Mart. https://agentmart.dev/skills/google-bigquery-udfs (last updated 2026-10-24)