File Batcher Module - NVIDIA Docs

This module loads the input files, removes files that are older than the chosen window of time, and then groups the remaining files by period that fall inside the window.

Configurable Parameters

Parameter	Type	Description	Example Value	Default Value
`batching_options`	dictionary	Options for batching	See below	`-`
`cache_dir`	string	Cache directory	“./file_batcher_cache”	`None`
`file_type`	string	File type	“JSON”	`"JSON"`
`filter_nulls`	boolean	Whether to filter null values	false	`false`
`schema`	dictionary	Data schema	See below	`[Required]`
`timestamp_column_name`	string	Name of the timestamp column	“timestamp”	`"timestamp"`

batching_options

Key	Type	Description	Example Value	Default Value
`end_time`	datetime/string	Endtime of the time window	“2023-03-14T23:59:59”	`None`
`iso_date_regex_pattern`	string	Regex pattern for ISO date matching	“\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}”	`<iso_date_regex_pattern>`
`parser_kwargs`	dictionary	Additional arguments for the parser	{}	`{}`
`period`	string	Time period for grouping files	“1d”	`"D"`
`sampling_rate_s`	integer	Sampling rate in seconds	60	`60`
`start_time`	datetime/string	Start time of the time window	“2023-03-01T00:00:00”	`None`

schema

Key	Type	Description	Example Value	Default Value
`encoding`	string	Encoding	“latin1”	`"latin1"`
`schema_str`	string	Schema string	“string”	`[Required]`

Example JSON Configuration

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            {
  "batching_options": {
    "end_time": "2023-03-14T23:59:59",
    "iso_date_regex_pattern": "\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}",
    "parser_kwargs": {},
    "period": "1d",
    "sampling_rate_s": 60,
    "start_time": "2023-03-01T00:00:00"
  },
  "cache_dir": "./file_batcher_cache",
  "file_type": "JSON",
  "filter_nulls": false,
  "schema": {
    "schema_str": "string",
    "encoding": "latin1"
  },
  "timestamp_column_name": "timestamp"
}