Function scanParquet

scanParquet(source: string, options?: ScanParquetOptions): LazyDataFrame<any>
Lazily read from a local or cloud-hosted parquet file (or files).

This function allows the query optimizer to push down predicates and projections to the scan level, typically increasing performance and reducing memory overhead.

This allows the query optimizer to push down predicates and projections to the scan level, thereby potentially reducing memory overhead.
Parameters
- source: string
  Path(s) to a file. If a single path is given, it can be a globbing pattern.
- options: ScanParquetOptions = {}
  Options for scanParquet
  - OptionalallowMissingColumns?: boolean
  - Optionalcache?: boolean
  - OptionalcloudOptions?: Record<string, string>
  - Optionalglob?: boolean
  - OptionalhivePartitioning?: boolean
  - OptionalhiveSchema?: unknown
  - OptionalincludeFilePaths?: string
  - OptionallowMemory?: boolean
  - OptionalnRows?: number
  - Optionalparallel?: "columns" | "auto" | "row_groups" | "none"
  - Optionalrechunk?: boolean
  - Optionalretries?: number
  - OptionalrowIndexName?: string
  - OptionalrowIndexOffset?: number
  - OptionaltryParseHiveDates?: boolean
  - OptionaluseStatistics?: boolean
Returns LazyDataFrame<any>
Example
```
     const lazyDf = pl.scanParquet("s3://[bucket-name]/[file-key]", {
         cloudOptions: {
             aws_access_key_id: credentials.accessKeyId,
             aws_secret_access_key: credentials.secretAccessKey,
             aws_session_token: credentials.sessionToken,
             aws_region: "us-east-1",
         },
     });
```
- Defined in polars/io.ts:530