precog / quasar-datasource-s3 Edit

Quasar connector providing support for Amazon S3 as a data source

Version Matrix

Quasar S3 Datasource

Usage

libraryDependencies += "com.precog" %% "quasar-datasource-s3" % <version>

Configuration

The configuration of the S3 datasource has the following JSON format

{
  "bucket": String,
  "format": {
    "type": "json" | "separated-values"
    // for "json"
    "precise": Boolean,
    "variant" "array-wrapped" | "line-delimited"
    // for "separated-values", all strings must be one symbol length
    "header": Boolean,
    // The first char of row break
    "row1": String,
    // The second char of row break, empty string if row break has only one symbol
    "row2": String,
    // Column separator (char)
    "record": String,
    "openQuote": String,
    "closeQuote": String,
    "escape": String
  },
  ["compressionScheme": "gzip" | "zip"]
  ["credentials": Object]
}
  • bucket the URL of the S3 bucket to use, e.g. https://yourbucket.s3.amazonaws.com
  • format the format of the resource referred to by url. CSV/TSV, array wrapped json and line delimited jsons are supported
  • compressionScheme (optional, default = empty) compression scheme that the resources in the container are assumed to be compressed with. Currrently "gzip" and "zip" are supported. If omitted, the resources are not assumed to be compressed.
  • credentials (optional, default = empty) S3 credentials to use for access in case the bucket is not public. Object has the following format: { "accessKey": String, "secretKey": String, "region": String }. The credentials section can be omitted completely for public buckets, but for private buckets the section needs to be there with all 3 fields specified.

Example:

{
  "bucket": "https://yourbucket.s3.amazonaws.com",
  "format": {"type": "json", "variant": "line-delimited", "precise": false},
  "jsonParsing": "array",
  "compressionScheme": "gzip",
  "credentials": {
    "accessKey": "some access key",
    "secretKey": "super secret key",
    "region": "us-east-1"
  }
}

Running the test suite for secure buckets

You need to decode the base64-encoded credentials.

For GNU base64:

base64 -d testCredentials.json.b64 > testCredentials.json

For BSD (or macOS) base64:

base64 -D -i testCredentials.json.b64 -o testCredentials.json

After this, you should be able to run the SecureS3DatasourceSpec spec