[SPARK-36670][SQL][TEST] Add FileSourceCodecSuite

### What changes were proposed in this pull request?

This patch mainly proposes to add some e2e test cases in Spark for codec used by main datasources.

### Why are the changes needed?

We found there is no e2e test cases available for main datasources like Parquet, Orc. It makes developers harder to identify possible bugs early. We should add such tests in Spark.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

Added tests.

Closes #33912 from viirya/SPARK-36670.

Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>
(cherry picked from commit 5a0ae694d0)
Signed-off-by: Liang-Chi Hsieh <viirya@gmail.com>

pom.xml

@@ -300,6 +300,12 @@
         <enabled>false</enabled>
       </snapshots>
     </repository>
+    <repository>
+      <id>jitpack.io</id>
+      <url>https://jitpack.io</url>
+      <name>Jitpack.io repository</name>
+      <!-- needed for brotli-codec -->
+    </repository>
   </repositories>
   <pluginRepositories>
     <pluginRepository>

project/SparkBuild.scala

@@ -274,7 +274,9 @@ object SparkBuild extends PomBuild {
       "gcs-maven-central-mirror" at "https://maven-central.storage-download.googleapis.com/maven2/",
       DefaultMavenRepository,
       Resolver.mavenLocal,
-      Resolver.file("ivyLocal", file(Path.userHome.absolutePath + "/.ivy2/local"))(Resolver.ivyStylePatterns)
+      Resolver.file("ivyLocal", file(Path.userHome.absolutePath + "/.ivy2/local"))(Resolver.ivyStylePatterns),
+      // needed for brotli-codec
+      "jitpack.io" at "https://jitpack.io"
     ),
     externalResolvers := resolvers.value,
     otherResolvers := SbtPomKeys.mvnLocalRepository(dotM2 => Seq(Resolver.file("dotM2", dotM2))).value,

sql/core/pom.xml

@@ -178,6 +178,12 @@
       <artifactId>htmlunit-driver</artifactId>
       <scope>test</scope>
     </dependency>
+    <dependency>
+      <groupId>com.github.rdblue</groupId>
+      <artifactId>brotli-codec</artifactId>
+      <version>0.1.1</version>
+      <scope>test</scope>
+    </dependency>
   </dependencies>
   <build>
     <outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceCodecSuite.scala

@@ -0,0 +1,75 @@
+/*
+ * 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.execution.datasources
+
+import org.apache.spark.sql.QueryTest
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.test.{SharedSparkSession, SQLTestUtils}
+
+trait FileSourceCodecSuite extends QueryTest with SQLTestUtils with SharedSparkSession {
+
+  protected def format: String
+  protected val codecConfigName: String
+  protected def availableCodecs: Seq[String]
+
+  def testWithAllCodecs(name: String)(f: => Unit): Unit = {
+    for (codec <- availableCodecs) {
+      test(s"$name - file source $format - codec: $codec") {
+        withSQLConf(codecConfigName -> codec) {
+          f
+        }
+      }
+    }
+  }
+
+  testWithAllCodecs("write and read") {
+    withTempPath { dir =>
+      testData
+        .repartition(5)
+        .write
+        .format(format)
+        .save(dir.getCanonicalPath)
+
+      val df = spark.read.format(format).load(dir.getCanonicalPath)
+      checkAnswer(df, testData)
+    }
+  }
+}
+
+class ParquetCodecSuite extends FileSourceCodecSuite {
+
+  override def format: String = "parquet"
+  override val codecConfigName: String = SQLConf.PARQUET_COMPRESSION.key
+  // Exclude "lzo" because it is GPL-licenced so not included in Hadoop.
+  // TODO(SPARK-36669): "lz4" codec fails due to HADOOP-17891.
+  override protected def availableCodecs: Seq[String] =
+    if (System.getProperty("os.arch") == "aarch64") {
+      // Exclude "brotli" due to PARQUET-1975.
+      Seq("none", "uncompressed", "snappy", "gzip", "zstd")
+    } else {
+      Seq("none", "uncompressed", "snappy", "gzip", "brotli", "zstd")
+    }
+}
+
+class OrcCodecSuite extends FileSourceCodecSuite {
+
+  override def format: String = "orc"
+  override val codecConfigName: String = SQLConf.ORC_COMPRESSION.key
+  override protected def availableCodecs = Seq("none", "uncompressed", "snappy",
+    "zlib", "zstd", "lz4", "lzo")
+}