diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index a5b2d8be7a..e6c312abf1 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -92,6 +92,8 @@ license: |
   - In Spark 3.2, `CREATE TABLE AS SELECT` with non-empty `LOCATION` will throw `AnalysisException`. To restore the behavior before Spark 3.2, you can set `spark.sql.legacy.allowNonEmptyLocationInCTAS` to `true`.
 
   - In Spark 3.2, special datetime values such as `epoch`, `today`, `yesterday`, `tomorrow`, and `now` are supported in typed literals only, for instance, `select timestamp'now'`. In Spark 3.1 and 3.0, such special values are supported in any casts of strings to dates/timestamps. To keep these special values as dates/timestamps in Spark 3.1 and 3.0, you should replace them manually, e.g. `if (c in ('now', 'today'), current_date(), cast(c as date))`.
+  
+  - In Spark 3.2, `FloatType` is mapped to `FLOAT` in MySQL. Prior to this, it used to be mapped to `REAL`, which is by default a synonym to `DOUBLE PRECISION` in MySQL. 
 
 ## Upgrading from Spark SQL 3.0 to 3.1
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
index 71bba6f110..81b816449f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/MySQLDialect.scala
@@ -20,7 +20,8 @@ package org.apache.spark.sql.jdbc
 import java.sql.{SQLFeatureNotSupportedException, Types}
 import java.util.Locale
 
-import org.apache.spark.sql.types.{BooleanType, DataType, LongType, MetadataBuilder}
+import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
+import org.apache.spark.sql.types.{BooleanType, DataType, FloatType, LongType, MetadataBuilder}
 
 private case object MySQLDialect extends JdbcDialect {
 
@@ -94,4 +95,11 @@ private case object MySQLDialect extends JdbcDialect {
   override def getTableCommentQuery(table: String, comment: String): String = {
     s"ALTER TABLE $table COMMENT = '$comment'"
   }
+
+  override def getJDBCType(dt: DataType): Option[JdbcType] = dt match {
+    // See SPARK-35446: MySQL treats REAL as a synonym to DOUBLE by default
+    // We override getJDBCType so that FloatType is mapped to FLOAT instead
+    case FloatType => Option(JdbcType("FLOAT", java.sql.Types.FLOAT))
+    case _ => JdbcUtils.getCommonJDBCType(dt)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
index 5865ff245a..f85c479d60 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala
@@ -899,6 +899,11 @@ class JDBCSuite extends QueryTest
       Option(TimestampType))
   }
 
+  test("SPARK-35446: MySQLDialect type mapping of float") {
+    val mySqlDialect = JdbcDialects.get("jdbc:mysql://127.0.0.1/db")
+    assert(mySqlDialect.getJDBCType(FloatType).map(_.databaseTypeDefinition).get == "FLOAT")
+  }
+
   test("PostgresDialect type mapping") {
     val Postgres = JdbcDialects.get("jdbc:postgresql://127.0.0.1/db")
     val md = new MetadataBuilder().putLong("scale", 0)