memgraph/tests/macro_benchmark/groups/match/vertex_on_index.run.py

# Copyright 2021 Memgraph Ltd.
#
# Use of this software is governed by the Business Source License
# included in the file licenses/BSL.txt; by using this file, you agree to be bound by the terms of the Business Source
# License, and you may not use this file except in compliance with the Business Source License.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software will be governed
# by the Apache License, Version 2.0, included in the file
# licenses/APL.txt.

from setup import LABEL_INDEX, ID, VERTEX_COUNT, rint

print("UNWIND range(0, 10000) AS i "
      "MATCH (n:%s {%s: %d}) RETURN n SKIP 1000000" % (
        LABEL_INDEX, ID, rint(VERTEX_COUNT)))
Add license to cpp/hpp/py test files (#283) 2021-10-26 14:53:56 +08:00			`# Copyright 2021 Memgraph Ltd.`
			`#`
			`# Use of this software is governed by the Business Source License`
			`# included in the file licenses/BSL.txt; by using this file, you agree to be bound by the terms of the Business Source`
			`# License, and you may not use this file except in compliance with the Business Source License.`
			`#`
			`# As of the Change Date specified in that file, in accordance with`
			`# the Business Source License, use of this software will be governed`
			`# by the Apache License, Version 2.0, included in the file`
			`# licenses/APL.txt.`

Harness MATCH tests refactored Summary: 1. Test setup rewritten to take cca 8 seconds. Note that edges are created by using: `MATCH (a) WITH a MATCH (b) WITH b WHERE rand() < X CREATE (a)-[:ET]->(b)` Where `X` is a threshold calculated so the desired edge count is the expectation. This seems the only feasable way of generating a large number of edges since query execution does not depend on edge count, but on vertex count. 2. Using the new `assert` function to verify graph state. I recommend doing that in all the harness tests (I don't think we currently have something better). 3. All tests rewritten to take around 200ms per iteration. 4. Test are using SKIP to avoid sending data to the client, but ensure that appropriate operations get executed. This currently seems like the best way of removing unwanted side-effects. Harness will cost us our sanity. And it doesn't even provide good quality regression testing we really need :( Reviewers: buda, mislav.bradac, mferencevic Reviewed By: mferencevic Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D752 2017-09-05 19:54:28 +08:00			`from setup import LABEL_INDEX, ID, VERTEX_COUNT, rint`

			`print("UNWIND range(0, 10000) AS i "`
			`"MATCH (n:%s {%s: %d}) RETURN n SKIP 1000000" % (`
			`LABEL_INDEX, ID, rint(VERTEX_COUNT)))`