[HUDI-2362] Add external config file support (#3416)

Co-authored-by: Wenning Ding <wenningd@amazon.com>

hudi-spark-datasource/hudi-spark/src/test/resources/external-config/hudi-defaults.conf

@@ -0,0 +1,23 @@
+#
+# 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.
+#
+
+# Default system properties included when running Hudi jobs.
+# This is useful for setting default environmental settings.
+
+# Example:
+hoodie.datasource.write.table.type               MERGE_ON_READ
+hoodie.datasource.write.hive_style_partitioning  false

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestSqlConf.scala

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+/*
+ * 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.hudi
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+import org.apache.hudi.common.config.DFSPropertiesConfiguration
+import org.apache.hudi.common.model.HoodieTableType
+import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient}
+
+import java.io.File
+import java.nio.file.{Files, Paths}
+
+import org.scalatest.BeforeAndAfter
+
+class TestSqlConf extends TestHoodieSqlBase with BeforeAndAfter {
+
+  def setEnv(key: String, value: String): String = {
+    val field = System.getenv().getClass.getDeclaredField("m")
+    field.setAccessible(true)
+    val map = field.get(System.getenv()).asInstanceOf[java.util.Map[java.lang.String, java.lang.String]]
+    map.put(key, value)
+  }
+
+  test("Test Hudi Conf") {
+    withTempDir { tmp =>
+      val tableName = generateTableName
+      val tablePath = tmp.getCanonicalPath
+      val partitionVal = "2021"
+      // Create table
+      spark.sql(
+        s"""
+           |create table $tableName (
+           |  id int,
+           |  name string,
+           |  price double,
+           |  ts long,
+           |  year string
+           |) using hudi
+           | partitioned by (year)
+           | location '$tablePath'
+           | options (
+           |  primaryKey ='id',
+           |  preCombineField = 'ts'
+           | )
+       """.stripMargin)
+
+      // First merge with a extra input field 'flag' (insert a new record)
+      spark.sql(
+        s"""
+           | merge into $tableName
+           | using (
+           |  select 1 as id, 'a1' as name, 10 as price, 1000 as ts, '1' as flag, $partitionVal as year
+           | ) s0
+           | on s0.id = $tableName.id
+           | when matched and flag = '1' then update set
+           | id = s0.id, name = s0.name, price = s0.price, ts = s0.ts, year = s0.year
+           | when not matched and flag = '1' then insert *
+       """.stripMargin)
+      checkAnswer(s"select id, name, price, ts, year from $tableName")(
+        Seq(1, "a1", 10.0, 1000, partitionVal)
+      )
+
+      // By default, Spark DML would set table type to COW and use Hive style partitioning, here we
+      // set table type to MOR and disable Hive style partitioning in the hudi conf file, and check
+      // if Hudi DML can load these configs correctly
+      assertResult(true)(Files.exists(Paths.get(s"$tablePath/$partitionVal")))
+      assertResult(HoodieTableType.MERGE_ON_READ)(new HoodieTableConfig(
+        new Path(tablePath).getFileSystem(new Configuration),
+        s"$tablePath/" + HoodieTableMetaClient.METAFOLDER_NAME,
+        HoodieTableConfig.PAYLOAD_CLASS_NAME.defaultValue).getTableType)
+
+      // delete the record
+      spark.sql(s"delete from $tableName where year = $partitionVal")
+      val cnt = spark.sql(s"select * from $tableName where year = $partitionVal").count()
+      assertResult(0)(cnt)
+    }
+  }
+
+  before {
+    val testPropsFilePath = new File("src/test/resources/external-config").getAbsolutePath
+    setEnv(DFSPropertiesConfiguration.CONF_FILE_DIR_ENV_NAME, testPropsFilePath)
+    DFSPropertiesConfiguration.refreshGlobalProps()
+  }
+
+  after {
+    DFSPropertiesConfiguration.clearGlobalProps()
+  }
+}