Storage input (S3 / GCS / Azure Blob / Local)
Storage input — storageInput
Read a file from a cloud object store (AWS S3, Google Cloud Storage, Azure Blob Storage) or a local folder via a reusable Storage Connection. On every run the file is downloaded once and materialized to a parquet snapshot so credentials never cross the process boundary.
Storage Input
s3://my-bucket/sales/2024-06.csv
Change Types
amount→float · date→datetime
Group By + Aggregate
revenue by region
Storage Output
s3://my-bucket/reports/summary.parquet
Use cases
- Read a daily export file from S3 in a scheduled flow so every run picks up the latest data.
- Process a shared file stored in a company Azure Blob container.
- Point at a local folder for development or self-hosted setups.
Configuration
| Config key | Type | Required | Description |
|---|---|---|---|
connection_id | string | Yes | The storage connection to read from |
path | string | Yes | File path inside the bucket/container/folder (e.g. data/sales.csv) |
format | string | No | csv (default), tsv, excel, parquet, json, jsonl, or text |
The connection defines the provider, bucket/container, and how credentials are resolved from environment variables. The node only needs the relative path within that bucket.
Generated Python code
The exported script is portable, so it never embeds cloud credentials. Instead it reads the object by its file name and tells you to download it first:
# storageInput: download 'data/sales.csv' from your storage connection first
df_sales = pd.read_csv('sales.csv')
Tips & common mistakes
- Create the connection first. Go to Connections → Add connection and
pick the storage provider. Set the key's secret reference — a bare name or
env:NAMEfor an environment variable,keyring:NAMEfor the OS keychain (recommended on desktop), orfile:/pathfor a mounted secret file. Ciaren never stores the secret itself; see Connections. - Path is relative to the bucket/container root. Do not include the
s3://bucket-name/prefix — that comes from the connection. - Preview uses a bounded sample. Preview and profile read the first N rows to stay fast; the full run reads the whole file.
See also
- Storage output — write back to the same or a different bucket
- Database Connections — create and manage storage connections
- File input — read an uploaded dataset instead of a remote file