You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2021/05/28 13:21:15 UTC

[GitHub] [hudi] wangxianghu commented on a change in pull request #3004: [HUDI-1940] Add SqlQueryBasedTransformer unit test

wangxianghu commented on a change in pull request #3004:
URL: https://github.com/apache/hudi/pull/3004#discussion_r641543572



##########
File path: hudi-utilities/src/test/java/org/apache/hudi/utilities/transform/TestSqlQueryBasedTransformer.java
##########
@@ -0,0 +1,94 @@
+/*
+ * 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.
+ */
+
+package org.apache.hudi.utilities.transform;
+
+import org.apache.hudi.common.config.TypedProperties;
+
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.SparkSession;
+import org.junit.jupiter.api.Test;
+
+import java.util.Collections;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertNotNull;
+
+public class TestSqlQueryBasedTransformer {
+
+  @Test
+  public void testSqlQuery() {
+
+    SparkSession spark = SparkSession
+        .builder()
+        .master("local[2]")
+        .appName(TestSqlQueryBasedTransformer.class.getName())
+        .getOrCreate();
+
+    JavaSparkContext jsc = JavaSparkContext.fromSparkContext(spark.sparkContext());
+
+    // prepare test data
+    String testData = "{\n"
+        + "  \"ts\": 1622126968000,\n"
+        + "  \"uuid\": \"c978e157-72ee-4819-8f04-8e46e1bb357a\",\n"
+        + "  \"rider\": \"rider-213\",\n"
+        + "  \"driver\": \"driver-213\",\n"
+        + "  \"begin_lat\": 0.4726905879569653,\n"
+        + "  \"begin_lon\": 0.46157858450465483,\n"
+        + "  \"end_lat\": 0.754803407008858,\n"
+        + "  \"end_lon\": 0.9671159942018241,\n"
+        + "  \"fare\": 34.158284716382845,\n"
+        + "  \"partitionpath\": \"americas/brazil/sao_paulo\"\n"
+        + "}";
+
+    JavaRDD<String> testRdd = jsc.parallelize(Collections.singletonList(testData), 2);
+    Dataset<Row> ds = spark.read().json(testRdd);
+
+    // create a new column dt, whose value is transformed from ts, format is yyyyMMdd
+    String transSql = "select\n"
+        + "\tuuid,\n"
+        + "\tbegin_lat,\n"
+        + "\tbegin_lon,\n"
+        + "\tdriver,\n"
+        + "\tend_lat,\n"
+        + "\tend_lon,\n"
+        + "\tfare,\n"
+        + "\tpartitionpath,\n"
+        + "\trider,\n"
+        + "\tts,\n"
+        + "\tFROM_UNIXTIME(ts / 1000, 'yyyyMMdd') as dt\n"
+        + "from\n"
+        + "\t<SRC>";
+    TypedProperties props = new TypedProperties();
+    props.put("hoodie.deltastreamer.transformer.sql", transSql);
+
+    // transform
+    SqlQueryBasedTransformer transformer = new SqlQueryBasedTransformer();
+    Dataset<Row> result = transformer.apply(jsc, spark, ds, props);
+
+    // check result
+    assertEquals(result.columns().length, 11);

Review comment:
       > pls use assertEquals(expected, result.columns), so please change to `assertEquals(11, result.columns().length)`
   
   @leesf thanks, done




-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org