How to use the pyignite.datatypes.AnyDataObject function in pyignite

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github gridgain / gridgain / modules / platforms / python / pyignite / api / key_value.py View on Github external
:param binary: (optional) pass True to keep the value in binary form.
     False by default,
    :param query_id: (optional) a value generated by client and returned
     as-is in response.query_id. When the parameter is omitted, a random
     value is generated,
    :return: API result data object. Contains zero status and a boolean
     success code, or non-zero status and an error description if something
     has gone wrong.
    """

    query_struct = Query(
        OP_CACHE_REPLACE_IF_EQUALS,
        [
            ('hash_code', Int),
            ('flag', Byte),
            ('key', key_hint or AnyDataObject),
            ('sample', sample_hint or AnyDataObject),
            ('value', value_hint or AnyDataObject),
        ],
        query_id=query_id,
    )
    result = query_struct.perform(
        connection,
        query_params={
            'hash_code': cache_id(cache),
            'flag': 1 if binary else 0,
            'key': key,
            'sample': sample,
            'value': value,
        },
        response_config=[
            ('success', Bool),
github gridgain / gridgain / modules / platforms / python / pyignite / api / sql.py View on Github external
OP_QUERY_SQL_FIELDS_CURSOR_GET_PAGE,
        [
            ('cursor', Long),
        ],
        query_id=query_id,
    )

    _, send_buffer = query_struct.from_python({
        'cursor': cursor,
    })

    connection.send(send_buffer)

    response_struct = Response([
        ('data', StructArray([
            ('field_{}'.format(i), AnyDataObject) for i in range(field_count)
        ])),
        ('more', Bool),
    ])
    response_class, recv_buffer = response_struct.parse(connection)
    response = response_class.from_buffer_copy(recv_buffer)

    result = APIResult(response)
    if result.status != 0:
        return result
    value = response_struct.to_python(response)
    result.value = {
        'data': [],
        'more': value['more']
    }
    for row_dict in value['data']:
        row = []