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

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github gridgain / gridgain / modules / platforms / python / pyignite / datatypes / binary.py View on Github external
#
from pyignite.datatypes import Int, Bool, String, Struct, StructArray


binary_fields_struct = StructArray([
    ('field_name', String),
    ('type_id', Int),
    ('field_id', Int),
])

body_struct = Struct([
    ('type_id', Int),
    ('type_name', String),
    ('affinity_key_field', String),
    ('binary_fields', binary_fields_struct),
    ('is_enum', Bool),
])

enum_struct = StructArray([
    ('literal', String),
    ('type_id', Int),
])

schema_fields_struct = StructArray([
    ('schema_field_id', Int),
])

schema_struct = StructArray([
    ('schema_id', Int),
    ('schema_fields', schema_fields_struct),
])
github gridgain / gridgain / modules / platforms / python / pyignite / api / binary.py View on Github external
query_struct = Query(
        OP_GET_BINARY_TYPE,
        [
            ('type_id', Int),
        ],
        query_id=query_id,
    )

    _, send_buffer = query_struct.from_python({
        'type_id': entity_id(binary_type),
    })
    connection.send(send_buffer)

    response_head_struct = Response([
        ('type_exists', Bool),
    ])
    response_head_type, recv_buffer = response_head_struct.parse(connection)
    response_head = response_head_type.from_buffer_copy(recv_buffer)
    response_parts = []
    if response_head.type_exists:
        resp_body_type, resp_body_buffer = body_struct.parse(connection)
        response_parts.append(('body', resp_body_type))
        resp_body = resp_body_type.from_buffer_copy(resp_body_buffer)
        recv_buffer += resp_body_buffer
        if resp_body.is_enum:
            resp_enum, resp_enum_buffer = enum_struct.parse(connection)
            response_parts.append(('enums', resp_enum))
            recv_buffer += resp_enum_buffer
        resp_schema_type, resp_schema_buffer = schema_struct.parse(connection)
        response_parts.append(('schema', resp_schema_type))
        recv_buffer += resp_schema_buffer
github gridgain / gridgain / modules / platforms / python / pyignite / api / key_value.py View on Github external
('flag', Byte),
            ('key', key_hint or AnyDataObject),
            ('sample', sample_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,
        },
        response_config=[
            ('success', Bool),
        ],
    )
    if result.status == 0:
        result.value = result.value['success']
    return result
github gridgain / gridgain / modules / platforms / python / pyignite / api / sql.py View on Github external
OP_QUERY_SQL_FIELDS,
        [
            ('hash_code', Int),
            ('flag', Byte),
            ('schema', String),
            ('page_size', Int),
            ('max_rows', Int),
            ('query_str', String),
            ('query_args', AnyDataArray()),
            ('statement_type', StatementType),
            ('distributed_joins', Bool),
            ('local', Bool),
            ('replicated_only', Bool),
            ('enforce_join_order', Bool),
            ('collocated', Bool),
            ('lazy', Bool),
            ('timeout', Long),
            ('include_field_names', Bool),
        ],
        query_id=query_id,
    )

    _, send_buffer = query_struct.from_python({
        'hash_code': cache_id(cache),
        'flag': 1 if binary else 0,
        'schema': schema,
        'page_size': page_size,
        'max_rows': max_rows,
        'query_str': query_str,
        'query_args': query_args,
        'statement_type': statement_type,
        'distributed_joins': distributed_joins,