Skip to content

Commit

Permalink
adding documentation
Browse files Browse the repository at this point in the history
  • Loading branch information
jhsb25 committed May 20, 2024
1 parent f470440 commit c464f73
Show file tree
Hide file tree
Showing 4 changed files with 16 additions and 1 deletion.
Original file line number Diff line number Diff line change
Expand Up @@ -350,7 +350,7 @@
"type": "string"
},
"sheet_name": {
"title": "Sheet Name Or Index",
"title": "Sheet Name or Index",
"description": "The name or index of the sheet that will be read from the workbook into the stream.",
"type": "string"
}
Expand Down
5 changes: 5 additions & 0 deletions docs/integrations/sources/azure-blob-storage.md
Original file line number Diff line number Diff line change
Expand Up @@ -218,6 +218,11 @@ Apache Parquet is a column-oriented data storage format of the Apache Hadoop eco
The Avro parser uses the [Fastavro library](https://fastavro.readthedocs.io/en/latest/). The following settings are available:
- **Convert Double Fields to Strings**: Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.

#### Xlsx

The Xlsx parser uses the [python-calamine library](https://github.com/dimastbk/python-calamine). The following settings are available:
- **Sheet Name or Index**: The name or index of the sheet within the excel workbook that you want to parse. If the sheet name is provided, the connector will look for the sheet with the exact name. If the sheet index is provided, the connector will look for the sheet at the specified index (0-indexed).

#### JSONL

There are currently no options for JSONL parsing.
Expand Down
5 changes: 5 additions & 0 deletions docs/integrations/sources/google-drive.md
Original file line number Diff line number Diff line change
Expand Up @@ -227,6 +227,11 @@ Apache Parquet is a column-oriented data storage format of the Apache Hadoop eco
The Avro parser uses the [Fastavro library](https://fastavro.readthedocs.io/en/latest/). The following settings are available:
- **Convert Double Fields to Strings**: Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.
#### Xlsx
The Xlsx parser uses the [python-calamine library](https://github.com/dimastbk/python-calamine). The following settings are available:
- **Sheet Name or Index**: The name or index of the sheet within the excel workbook that you want to parse. If the sheet name is provided, the connector will look for the sheet with the exact name. If the sheet index is provided, the connector will look for the sheet at the specified index (0-indexed).
### JSONL
There are currently no options for JSONL parsing.
Expand Down
5 changes: 5 additions & 0 deletions docs/integrations/sources/s3.md
Original file line number Diff line number Diff line change
Expand Up @@ -302,6 +302,11 @@ Apache Parquet is a column-oriented data storage format of the Apache Hadoop eco
The Avro parser uses the [Fastavro library](https://fastavro.readthedocs.io/en/latest/). The following settings are available:
- **Convert Double Fields to Strings**: Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.

#### Xlsx

The Xlsx parser uses the [python-calamine library](https://github.com/dimastbk/python-calamine). The following settings are available:
- **Sheet Name or Index**: The name or index of the sheet within the excel workbook that you want to parse. If the sheet name is provided, the connector will look for the sheet with the exact name. If the sheet index is provided, the connector will look for the sheet at the specified index (0-indexed).

### JSONL

There are currently no options for JSONL parsing.
Expand Down

0 comments on commit c464f73

Please sign in to comment.