Upload
class Upload
Uploads are the interface for bringing data into Redivis. They are associated with a particular table, and can be created on any table belonging to an unreleased version of a dataset. Multiple uploads can be added to a table, in which case they are "stacked" together (equivalent to a union join, with mixed schemas supported).
Constructors
table.upload
(upload_name)
Construct a reference to an upload. upload_name
is optional, and will be inferred based on the file name if not provided (for non-file uploads, the default name will be set to the current timestamp).
Examples
dataset = redivis.user("user_name").dataset("dataset_name", version="next")
table = dataset.table("table_name")
upload = table.upload().create(
"./data.csv", # Path to file, data frame, bytes, etc
type="delimited", # Inferred from file extension if not provided
remove_on_fail=True, # Remove the upload if a failure occurs
wait_for_finish=True, # Wait for the upload to finish processing
raise_on_fail=True # Raise an error on failure
)
Attributes
table
A reference to the Table instance that constructed this upload.
properties
A dict containing the API resource representation of the upload. This will only be populated after certain methods are called, particularly the get
method.
Methods
upload.create
(data[, ...])
Create an upload with the provided data and/or configuration.
Delete an upload.
Check whether an upload exists.
Fetch an upload and populate upload.properties
upload.insert_rows
(rows, *[, update_schema])
Insert rows into an upload of type "stream"
upload.list_variables
([max_results])
List the variables associated with a given upload.
upload.to_*
([max_results, *, ...])
Various methods to read data out of an imported (but not yet released) upload. Mirrors the various Table.to_* methods (e.g., upload.to_pandas_dataframe()
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