diff --git a/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieFileIndex.scala b/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieFileIndex.scala
index 69248fc2c237..a88d263e9dc7 100644
--- a/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieFileIndex.scala
+++ b/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieFileIndex.scala
@@ -86,13 +86,9 @@ class TestHoodieFileIndex extends HoodieSparkClientTestBase with ScalaAssertionS
   @BeforeEach
   override def setUp() {
     setTableName("hoodie_test")
+    super.setUp()
     initPath()
-    initSparkContexts()
     spark = sqlContext.sparkSession
-    initTestDataGenerator()
-    initFileSystem()
-    initMetaClient()
-
     queryOpts = queryOpts ++ Map("path" -> basePath)
   }
 
diff --git a/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieParquetBloom.scala b/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieParquetBloom.scala
index 2e5e30362bb9..a6f3a0e7368b 100644
--- a/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieParquetBloom.scala
+++ b/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieParquetBloom.scala
@@ -19,53 +19,29 @@ package org.apache.hudi
 
 import org.apache.spark.sql._
 import org.apache.spark.sql.hudi.HoodieSparkSessionExtension
-import org.apache.spark.util.{AccumulatorV2}
+import org.apache.spark.util.AccumulatorV2
 import org.apache.spark.SparkContext
-
 import org.apache.hudi.testutils.HoodieClientTestUtils.getSparkConfForTest
 import org.apache.hudi.DataSourceWriteOptions
 import org.apache.hudi.config.HoodieWriteConfig
 import org.apache.hudi.common.model.{HoodieTableType, WriteOperationType}
-
-
-import org.junit.jupiter.api.Assertions.{assertEquals}
-import org.junit.jupiter.api.{BeforeEach}
+import org.apache.hudi.testutils.HoodieSparkClientTestBase
+import org.junit.jupiter.api.Assertions.assertEquals
+import org.junit.jupiter.api.BeforeEach
 import org.junit.jupiter.params.ParameterizedTest
-import org.junit.jupiter.params.provider.{EnumSource}
-
-class TestHoodieParquetBloomFilter {
-
-  var spark: SparkSession = _
-  var sqlContext: SQLContext = _
-  var sc: SparkContext = _
+import org.junit.jupiter.params.provider.EnumSource
 
-  def initSparkContext(): Unit = {
-    val sparkConf = getSparkConfForTest(getClass.getSimpleName)
-
-    spark = SparkSession.builder()
-      .withExtensions(new HoodieSparkSessionExtension)
-      .config(sparkConf)
-      .getOrCreate()
-
-    sc = spark.sparkContext
-    sc.setLogLevel("ERROR")
-    sqlContext = spark.sqlContext
-  }
-
-  @BeforeEach
-  def setUp() {
-    initSparkContext()
-  }
+class TestHoodieParquetBloomFilter extends HoodieSparkClientTestBase with ScalaAssertionSupport {
 
   @ParameterizedTest
   @EnumSource(value = classOf[WriteOperationType], names = Array("BULK_INSERT", "INSERT", "UPSERT", "INSERT_OVERWRITE"))
   def testBloomFilter(operation: WriteOperationType): Unit = {
     // setup hadoop conf with bloom col enabled
-    spark.sparkContext.hadoopConfiguration.set("parquet.bloom.filter.enabled#bloom_col", "true")
-    spark.sparkContext.hadoopConfiguration.set("parquet.bloom.filter.expected.ndv#bloom_col", "2")
+    jsc.hadoopConfiguration.set("parquet.bloom.filter.enabled#bloom_col", "true")
+    jsc.hadoopConfiguration.set("parquet.bloom.filter.expected.ndv#bloom_col", "2")
     // ensure nothing but bloom can trigger read skip
-    spark.sql("set parquet.filter.columnindex.enabled=false")
-    spark.sql("set parquet.filter.stats.enabled=false")
+    sparkSession.sql("set parquet.filter.columnindex.enabled=false")
+    sparkSession.sql("set parquet.filter.stats.enabled=false")
 
     val basePath = java.nio.file.Files.createTempDirectory("hoodie_bloom_source_path").toAbsolutePath.toString
     val opts = Map(
@@ -75,7 +51,7 @@ class TestHoodieParquetBloomFilter {
       DataSourceWriteOptions.RECORDKEY_FIELD.key -> "_row_key",
       DataSourceWriteOptions.PARTITIONPATH_FIELD.key -> "partition"
     )
-    val inputDF = spark.sql(
+    val inputDF = sparkSession.sql(
       """select '0' as _row_key, '1' as bloom_col, '2' as partition, '3' as ts
         |union
         |select '1', '2', '3', '4'
@@ -86,19 +62,19 @@ class TestHoodieParquetBloomFilter {
       .save(basePath)
 
     val accu = new NumRowGroupsAcc
-    spark.sparkContext.register(accu)
+    sparkSession.sparkContext.register(accu)
 
     // this one shall skip partition scanning thanks to bloom when spark >=3
-    spark.read.format("hudi").load(basePath).filter("bloom_col = '3'").foreachPartition((it: Iterator[Row]) => it.foreach(_ => accu.add(0)))
+    sparkSession.read.format("hudi").load(basePath).filter("bloom_col = '3'").foreachPartition((it: Iterator[Row]) => it.foreach(_ => accu.add(0)))
     assertEquals(if (currentSparkSupportParquetBloom()) 0 else 1, accu.value)
 
     // this one will trigger one partition scan
-    spark.read.format("hudi").load(basePath).filter("bloom_col = '2'").foreachPartition((it: Iterator[Row]) => it.foreach(_ => accu.add(0)))
+    sparkSession.read.format("hudi").load(basePath).filter("bloom_col = '2'").foreachPartition((it: Iterator[Row]) => it.foreach(_ => accu.add(0)))
     assertEquals(1, accu.value)
   }
 
   def currentSparkSupportParquetBloom(): Boolean = {
-    Integer.valueOf(spark.version.charAt(0)) >= 3
+    Integer.valueOf(sparkSession.version.charAt(0)) >= 3
   }
 }