1 files changed, 76 insertions, 0 deletions
diff --git a/src/arrow/js/perf/config.ts b/src/arrow/js/perf/config.ts
new file mode 100644
index 000000000..08ea9ecc1
--- /dev/null
+++ b/src/arrow/js/perf/config.ts
@@ -0,0 +1,76 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF 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.
+
+import * as Arrow from '../src/Arrow.dom';
+
+// from https://stackoverflow.com/a/19303725/214950
+let seed = 1;
+function random() {
+    const x = Math.sin(seed++) * 10000;
+    return x - Math.floor(x);
+}
+
+console.time('Prepare Data');
+
+const LENGTH = 100000;
+const NUM_BATCHES = 10;
+
+const values = Arrow.Utf8Vector.from(['Charlottesville', 'New York', 'San Francisco', 'Seattle', 'Terre Haute', 'Washington, DC']);
+
+const batches = Array.from({length: NUM_BATCHES}).map(() => {
+    const lat = Float32Array.from(
+        { length: LENGTH },
+        () => ((random() - 0.5) * 2 * 90));
+    const lng = Float32Array.from(
+        { length: LENGTH },
+        () => ((random() - 0.5) * 2 * 90));
+
+    const origin = Uint8Array.from(
+        { length: LENGTH },
+        () => (random() * 6));
+    const destination = Uint8Array.from(
+        { length: LENGTH },
+        () => (random() * 6));
+
+    const originType = new Arrow.Dictionary(values.type, new Arrow.Int8, 0, false);
+    const destinationType = new Arrow.Dictionary(values.type, new Arrow.Int8, 0, false);
+
+    return Arrow.RecordBatch.new({
+        'lat': Arrow.Float32Vector.from(lat),
+        'lng': Arrow.Float32Vector.from(lng),
+        'origin': Arrow.Vector.new(Arrow.Data.Dictionary(originType, 0, origin.length, 0, null, origin, values)),
+        'destination': Arrow.Vector.new(Arrow.Data.Dictionary(destinationType, 0, destination.length, 0, null, destination, values)),
+    });
+});
+
+const tracks = new Arrow.DataFrame(batches[0].schema, batches);
+
+console.timeEnd('Prepare Data');
+
+export default [
+    {
+        name: 'tracks',
+        df: tracks,
+        ipc: tracks.serialize(),
+        countBys: ['origin', 'destination'],
+        counts: [
+            {column: 'lat',    test: 'gt' as 'gt' | 'eq', value: 0        },
+            {column: 'lng',    test: 'gt' as 'gt' | 'eq', value: 0        },
+            {column: 'origin', test: 'eq' as 'gt' | 'eq', value: 'Seattle'},
+        ],
+    }
+];