dongjoon-hyun commented on code in PR #45895:
URL: https://github.com/apache/spark/pull/45895#discussion_r1564350531


##########
connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroLogicalTypeInitSuite.scala:
##########
@@ -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.
+ */
+package org.apache.spark.sql.avro
+
+import org.apache.spark.SparkConf
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.types.DecimalType
+
+/**
+ * Test suite for Avro logical type initialization.
+ * Tests here must run in isolation, otherwise some other test might
+ * initialize variable and make this test flaky
+ */
+abstract class AvroLogicalTypeInitSuite
+    extends QueryTest
+      with SharedSparkSession {
+
+  test("custom logical type registration test") {
+    val avroTypeJson =
+      s"""
+         |{
+         |  "type": "record",
+         |  "name": "Entry",
+         |  "fields": [
+         |    {
+         |      "name": "test_col",
+         |      "type": [
+         |        "null",
+         |        {
+         |          "type": "long",
+         |          "logicalType": "custom-decimal",
+         |          "precision": 38,
+         |          "scale": 9
+         |        }
+         |      ],
+         |      "default": null
+         |    }
+         |  ]
+         |}
+         |
+   """.stripMargin
+
+    val df = spark.read.format("avro").option("avroSchema", 
avroTypeJson).load()
+    assert(df.schema.fields(0).dataType == DecimalType(38, 9))
+  }
+}
+
+class AvroV1LogicalTypeInitSuite extends AvroLogicalTypeInitSuite {

Review Comment:
   Thank you for adding this test coverage. I verified this.
   ```
   [info] AvroV1LogicalTypeInitSuite:
   [info] - custom logical type registration test *** FAILED *** (1 second, 105 
milliseconds)
   [info]   LongType did not equal DecimalType(38, 9) 
(AvroLogicalTypeInitSuite.scala:60)
   [info]   Analysis:
   [info]   LongType$(precision: -> 38, scale: -> 9)
   ```



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