diff --git a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala
index edaaa8835cc0..5fd39393335d 100644
--- a/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala
+++ b/connector/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala
@@ -81,14 +81,14 @@ private[sql] class AvroOptions(
 
   /**
    * Top level record name in write result, which is required in Avro spec.
-   * See https://avro.apache.org/docs/1.11.2/specification/#schema-record .
+   * See https://avro.apache.org/docs/1.11.4/specification/#schema-record .
    * Default value is "topLevelRecord"
    */
   val recordName: String = parameters.getOrElse(RECORD_NAME, "topLevelRecord")
 
   /**
    * Record namespace in write result. Default value is "".
-   * See Avro spec for details: https://avro.apache.org/docs/1.11.2/specification/#schema-record .
+   * See Avro spec for details: https://avro.apache.org/docs/1.11.4/specification/#schema-record .
    */
   val recordNamespace: String = parameters.getOrElse(RECORD_NAMESPACE, "")
 
diff --git a/dev/deps/spark-deps-hadoop-3-hive-2.3 b/dev/deps/spark-deps-hadoop-3-hive-2.3
index 06e6aa199021..4feea62dfe64 100644
--- a/dev/deps/spark-deps-hadoop-3-hive-2.3
+++ b/dev/deps/spark-deps-hadoop-3-hive-2.3
@@ -21,9 +21,9 @@ arrow-memory-core/12.0.1//arrow-memory-core-12.0.1.jar
 arrow-memory-netty/12.0.1//arrow-memory-netty-12.0.1.jar
 arrow-vector/12.0.1//arrow-vector-12.0.1.jar
 audience-annotations/0.5.0//audience-annotations-0.5.0.jar
-avro-ipc/1.11.2//avro-ipc-1.11.2.jar
-avro-mapred/1.11.2//avro-mapred-1.11.2.jar
-avro/1.11.2//avro-1.11.2.jar
+avro-ipc/1.11.4//avro-ipc-1.11.4.jar
+avro-mapred/1.11.4//avro-mapred-1.11.4.jar
+avro/1.11.4//avro-1.11.4.jar
 aws-java-sdk-bundle/1.12.262//aws-java-sdk-bundle-1.12.262.jar
 azure-data-lake-store-sdk/2.3.9//azure-data-lake-store-sdk-2.3.9.jar
 azure-keyvault-core/1.0.0//azure-keyvault-core-1.0.0.jar
diff --git a/docs/sql-data-sources-avro.md b/docs/sql-data-sources-avro.md
index 1da75e5d7b17..a23c438af6d4 100644
--- a/docs/sql-data-sources-avro.md
+++ b/docs/sql-data-sources-avro.md
@@ -417,7 +417,7 @@ applications. Read the [Advanced Dependency Management](https://spark.apache
 Submission Guide for more details.
 
 ## Supported types for Avro -> Spark SQL conversion
-Currently Spark supports reading all [primitive types](https://avro.apache.org/docs/1.11.2/specification/#primitive-types) and [complex types](https://avro.apache.org/docs/1.11.2/specification/#complex-types) under records of Avro.
+Currently Spark supports reading all [primitive types](https://avro.apache.org/docs/1.11.4/specification/#primitive-types) and [complex types](https://avro.apache.org/docs/1.11.4/specification/#complex-types) under records of Avro.
 <table>
   <thead><tr><th><b>Avro type</b></th><th><b>Spark SQL type</b></th></tr></thead>
   <tr>
@@ -481,7 +481,7 @@ In addition to the types listed above, it supports reading `union` types. The fo
 3. `union(something, null)`, where something is any supported Avro type. This will be mapped to the same Spark SQL type as that of something, with nullable set to true.
 All other union types are considered complex. They will be mapped to StructType where field names are member0, member1, etc., in accordance with members of the union. This is consistent with the behavior when converting between Avro and Parquet.
 
-It also supports reading the following Avro [logical types](https://avro.apache.org/docs/1.11.2/specification/#logical-types):
+It also supports reading the following Avro [logical types](https://avro.apache.org/docs/1.11.4/specification/#logical-types):
 
 <table>
   <thead><tr><th><b>Avro logical type</b></th><th><b>Avro type</b></th><th><b>Spark SQL type</b></th></tr></thead>
diff --git a/pom.xml b/pom.xml
index 0ccb6ac76a9b..e427f4d4ce68 100644
--- a/pom.xml
+++ b/pom.xml
@@ -158,7 +158,7 @@
     -->
     <codahale.metrics.version>4.2.19</codahale.metrics.version>
     <!-- Should be consistent with SparkBuild.scala and docs -->
-    <avro.version>1.11.2</avro.version>
+    <avro.version>1.11.4</avro.version>
     <aws.kinesis.client.version>1.12.0</aws.kinesis.client.version>
     <!-- Should be consistent with Kinesis client dependency -->
     <aws.java.sdk.version>1.11.655</aws.java.sdk.version>
@@ -1485,6 +1485,10 @@
         <artifactId>avro</artifactId>
         <version>${avro.version}</version>
         <exclusions>
+          <exclusion>
+            <groupId>org.apache.commons</groupId>
+            <artifactId>commons-compress</artifactId>
+          </exclusion>
           <exclusion>
             <groupId>commons-io</groupId>
             <artifactId>commons-io</artifactId>
diff --git a/project/SparkBuild.scala b/project/SparkBuild.scala
index f8659a4f4a25..162f34415c53 100644
--- a/project/SparkBuild.scala
+++ b/project/SparkBuild.scala
@@ -1103,7 +1103,8 @@ object DependencyOverrides {
     dependencyOverrides += "com.google.guava" % "guava" % guavaVersion,
     dependencyOverrides += "xerces" % "xercesImpl" % "2.12.2",
     dependencyOverrides += "jline" % "jline" % "2.14.6",
-    dependencyOverrides += "org.apache.avro" % "avro" % "1.11.2")
+    dependencyOverrides += "org.apache.avro" % "avro" % "1.11.4",
+    dependencyOverrides += "org.apache.commons" % "commons-compress" % "1.23.0")
 }
 
 /**
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
index 8476c87dc283..d35cc79c6a32 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala
@@ -908,7 +908,7 @@ class HiveClientSuite(version: String, allVersions: Seq[String])
   test("Decimal support of Avro Hive serde") {
     val tableName = "tab1"
     // TODO: add the other logical types. For details, see the link:
-    // https://avro.apache.org/docs/1.11.2/specification/#logical-types
+    // https://avro.apache.org/docs/1.11.4/specification/#logical-types
     val avroSchema =
     """{
       |  "name": "test_record",