def _validate_schema(schema, body):
""" Validate data against a schema """
# Note
#
# Schema validation is currently the major CPU bottleneck of
# BigchainDB. the `jsonschema` library validates python data structures
# directly and produces nice error messages, but validation takes 4+ ms
# per transaction which is pretty slow. The rapidjson library validates
# much faster at 1.5ms, however it produces _very_ poor error messages.
# For this reason we use both, rapidjson as an optimistic pathway and
# jsonschema as a fallback in case there is a failure, so we can produce
# a helpful error message.
try:
schema[1].validate(rapidjson.dumps(body))
except ValueError as exc:
try:
jsonschema.validate(body, schema[0])
except jsonschema.ValidationError as exc2:
raise SchemaValidationError(str(exc2)) from exc2
logger.warning(
'code problem: jsonschema did not raise an exception, wheras rapidjson raised %s',
exc)
raise SchemaValidationError(str(exc)) from exc
def validate_transaction_schema(tx_body):
""" Validate a transaction dict against a schema """
try:
jsonschema.validate(tx_body, TX_SCHEMA)
except jsonschema.ValidationError as exc:
raise SchemaValidationError(str(exc)) from exc
def _validate_schema(schema, body):
""" Validate data against a schema """
try:
jsonschema.validate(body, schema)
except jsonschema.ValidationError as exc:
raise SchemaValidationError(str(exc)) from exc