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filter_by_range(table_name=None, view_name=”, column_name=None, lower_bound=None, upper_bound=None, options=)[source]

Calculates which objects from a table have a column that is within the given bounds. An object from the table identified by input parameter table_name is added to the view input parameter view_name if its column is within [input parameter lower_bound, input parameter upper_bound] (inclusive). The operation is synchronous. The response provides a count of the number of objects which passed the bound filter. Although this functionality can also be accomplished with the standard filter function, it is more efficient.

For track objects, the count reflects how many points fall within the given bounds (which may not include all the track points of any given track).

Parameters

table_name (str) –

Name of the table on which the filter by range operation will be performed, in [schema_name.]table_name format, using standard name resolution rules. Must be an existing table.

view_name (str) –

If provided, then this will be the name of the view containing the results, in [schema_name.]view_name format, using standard name resolution rules and meeting table naming criteria. Must not be an already existing table or view. The default value is ‘’.

column_name (str) –

Name of a column on which the operation would be applied.

lower_bound (float) –

Value of the lower bound (inclusive).

upper_bound (float) –

Value of the upper bound (inclusive).

options (dict of str to str) –

Optional parameters. Allowed keys are:

  • create_temp_table – If true, a unique temporary table name will be generated in the sys_temp schema and used in place of input parameter view_name. This is always allowed even if the caller does not have permission to create tables. The generated name is returned in qualified_view_name. Allowed values are:

    • true

    • false

    The default value is ‘false’.

  • collection_name – [DEPRECATED–please specify the containing schema for the view as part of input parameter view_name and use GPUdb.create_schema() to create the schema if non-existent] Name of a schema for the newly created view. If the schema is non-existent, it will be automatically created.

The default value is an empty dict ( ).

Returns

A dict with the following entries–

count (long) –

The number of records passing the range filter.

info (dict of str to str) –

Additional information. Allowed keys are:

  • qualified_view_name – The fully qualified name of the view (i.e. including the schema)

The default value is an empty dict ( ).