DOCS-modin-project#1855: add runner of h2o benchmark as example (modi…

…n-project#1856)

Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com>

examples/cluster/h2o-runner.py

@@ -0,0 +1,50 @@
+# Licensed to Modin Development Team under one or more contributor license agreements.
+# See the NOTICE file distributed with this work for additional information regarding
+# copyright ownership.  The Modin Development Team licenses this file to you under the
+# Apache License, Version 2.0 (the "License"); you may not use this file except in
+# compliance with the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software distributed under
+# the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific language
+# governing permissions and limitations under the License.
+
+
+# pip install git+https://github.com/intel-go/ibis.git@develop
+
+# NOTE: expects https://github.com/intel-go/omniscripts/ checked out and in PYTHONPATH
+
+# the following import turns on experimental mode in Modin,
+# including enabling running things in remote cloud
+import modin.experimental.pandas as pd  # noqa: F401
+from modin.experimental.cloud import create_cluster
+
+from h2o import run_benchmark
+
+test_cluster = create_cluster(
+    "aws",
+    "aws_credentials",
+    cluster_name="rayscale-test",
+    region="eu-north-1",
+    zone="eu-north-1b",
+    image="ami-00e1e82d7d4ca80d3",
+)
+with test_cluster:
+    parameters = {
+        "no_pandas": False,
+        "pandas_mode": "Modin_on_ray",
+        "ray_tmpdir": "/tmp",
+        "ray_memory": 1024 * 1024 * 1024,
+        "extended_functionality": False,
+    }
+
+    # G1... - for groupby queries; J1... - for join queries;
+    # Additional required files inside h2o-data folder:
+    # - J1_1e6_1e0_0_0.csv
+    # - J1_1e6_1e3_0_0.csv
+    # - J1_1e6_1e6_0_0.csv
+    for data_file in ["G1_5e5_1e2_0_0.csv", "J1_1e6_NA_0_0.csv"]:
+        parameters["data_file"] = f"https://modin-datasets.s3.amazonaws.com/h2o/{data_file}"
+        run_benchmark(parameters)