Upload data
The below calls describeDatasets uploads. For tasks like interactive chart generation, we recommend instead using File uploads, as you can quickly make different datasets out of previously uploaded Files.
| Route | Method | Headers | Parameters | Return |
|---|---|---|---|---|
api/v2/upload/datasets/<dataset_id>/nodes/jsonapi/v2/upload/datasets/<dataset_id>/edges/json
|
POST |
Content-Type: application/json Authorization: Bearer YOUR_JWT_TOKEN |
Query (url) parameters (see cudf.io.json.read_json()):
{
?compression: str,
?dtype: bool | dict,
?lines: bool,
?orient: 'split', 'records', 'index', 'columns', 'values', 'table'
}
Body version 1 (orient=records): row-based - list of row objects
[
{<column_name> 'a, ... },
...
]
Body version 2 (inferred): columnar - record of column arrays
{
<column_name>: [ ... ],
...
}
Body version 3 (orient=records, lines=True): json logs - object per line
{<column_name>: 'a, ... },
...
|
{
"data": {
"dataset_id": str,
"dtypes": {<str>: str},
"num_cols": int,
"num_rows": int,
"time_parsing_s": int
},
"message": str,
"success": bool
}
|
|
Input: edges_columnar.json:
{
"s": ["a", "b", "c"],
"d": ["b", "c", "a"],
"prop1": [2, 4, 6]
}
Upload:
|
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Output: |
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api/v2/upload/datasets/<dataset_id>/nodes/csvapi/v2/upload/datasets/<dataset_id>/edges/csv
|
POST | Authorization: Bearer YOUR_JWT_TOKEN |
Query (url) parameters (see cudf.io.csv.read_csv and pandas.read_csv):
{
?sep: str,
?delim_whitespace: bool,
?lineterminator: str,
?skipinitialspace: bool,
?names: arr,
?dtype: list | dict,
?quotechar: str,
?quoting: int,
?doublequote: bool,
?encoding: str,
?header: int | 'infer',
?usecols: list<int> | list<str>,
?mangle_dupe_cols: bool,
?skiprows: int,
?skipfooter: int,
?compression: 'infer' | 'gzip'| 'zip',
?decimal: str,
?thousands: str,
?true_values: list,
?false_values': list,
?nrows: int,
?byte_range: [int, int],
?skip_blank_lines: bool,
?parse_dates: list<int>| list<str>,
?comment: str,
?na_values: list,
?keep_default_na: bool,
?na_filter: bool,
?prefix: str
}
Body: row-based
header1,header2,...
val1,val2,...
...
|
{
"data": {
"dataset_id": str,
"dtypes": {<str>: str},
"num_cols": int,
"num_rows": int,
"time_parsing_s": int
},
"message": str,
"success": bool
}
|
|
Input: edges.csv:
s,d,prop1
a,b,2
b,c,4
c,a,6
Upload:
|
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Output: |
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api/v2/upload/datasets/<dataset_id>/nodes/parquetapi/v2/upload/datasets/<dataset_id>/edges/parquet
|
POST | Authorization: Bearer YOUR_JWT_TOKEN |
Query (url) parameters (see cudf.io.parquet.read_parquet()):
{
?columns: list,
?row_groups': int
}
Body: See CSV format
|
{
"data": {
"dataset_id": str,
"dtypes": {<str>: str},
"num_cols": int,
"num_rows": int,
"time_parsing_s": int
},
"message": str,
"success": bool
}
|
|
Input: edges.parquet: see CSV example Upload: |
||||
Output: |
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api/v2/upload/datasets/<dataset_id>/nodes/orcapi/v2/upload/datasets/<dataset_id>/edges/orc
|
POST | Authorization: Bearer YOUR_JWT_TOKEN |
Query (url) parameters (see cudf.io.orc.read_orc()):
{
?columns: list,
?skiprows: int,
?num_rows: int
}
Body: See CSV format
|
{
"data": {
"dataset_id": str,
"dtypes": {<str>: str},
"num_cols": int,
"num_rows": int,
"time_parsing_s": int
},
"message": str,
"success": bool
}
|
|
Input: edges.orc: see CSV example Upload: |
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Output: |
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api/v2/upload/datasets/<dataset_id>/nodes/arrowapi/v2/upload/datasets/<dataset_id>/edges/arrow
|
POST | Authorization: Bearer YOUR_JWT_TOKEN |
Query (url) parameters: none Body: See CSV format |
{
"data": {
"dataset_id": str,
"dtypes": {<str>: str},
"num_cols": int,
"num_rows": int,
"time_parsing_s": int
},
"message": str,
"success": bool
}
|
|
Input: edges.arrow: see CSV example Upload: |
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Output: |
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