[SPARK-45967][BUILD] Upgrade jackson to 2.16.0

The pr aims to upgrade FasterXML jackson from 2.15.2 to 2.16.0.

New version that fix some bugs, release notes as follows:
- 2.1.6.0 https://github.com/FasterXML/jackson/wiki/Jackson-Release-2.16, eg:
[Databind](https://github.com/FasterXML/jackson-databind) [apache#1770](FasterXML/jackson-databind#1770): Incorrect deserialization for BigDecimal numbers
- 2.15.3 https://github.com/FasterXML/jackson/wiki/Jackson-Release-2.15.3, eg:
[Databind](https://github.com/FasterXML/jackson-databind) [apache#3968](FasterXML/jackson-databind#3968): Records with additional constructors failed to deserialize

The last upgrade occurred 6 months ago, apache#41414

No.

Pass GA.

No.

Closes apache#43859 from panbingkun/SPARK-45967.

Authored-by: panbingkun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

dev/deps/spark-deps-hadoop-3-hive-2.3

@@ -97,15 +97,15 @@ httpcore/4.4.16//httpcore-4.4.16.jar
 ini4j/0.5.4//ini4j-0.5.4.jar
 istack-commons-runtime/3.0.8//istack-commons-runtime-3.0.8.jar
 ivy/2.5.1//ivy-2.5.1.jar
-jackson-annotations/2.15.2//jackson-annotations-2.15.2.jar
+jackson-annotations/2.16.0//jackson-annotations-2.16.0.jar
 jackson-core-asl/1.9.13//jackson-core-asl-1.9.13.jar
-jackson-core/2.15.2//jackson-core-2.15.2.jar
-jackson-databind/2.15.2//jackson-databind-2.15.2.jar
-jackson-dataformat-cbor/2.15.2//jackson-dataformat-cbor-2.15.2.jar
-jackson-dataformat-yaml/2.15.2//jackson-dataformat-yaml-2.15.2.jar
-jackson-datatype-jsr310/2.15.2//jackson-datatype-jsr310-2.15.2.jar
+jackson-core/2.16.0//jackson-core-2.16.0.jar
+jackson-databind/2.16.0//jackson-databind-2.16.0.jar
+jackson-dataformat-cbor/2.16.0//jackson-dataformat-cbor-2.16.0.jar
+jackson-dataformat-yaml/2.16.0//jackson-dataformat-yaml-2.16.0.jar
+jackson-datatype-jsr310/2.16.0//jackson-datatype-jsr310-2.16.0.jar
 jackson-mapper-asl/1.9.13//jackson-mapper-asl-1.9.13.jar
-jackson-module-scala_2.13/2.15.2//jackson-module-scala_2.13-2.15.2.jar
+jackson-module-scala_2.13/2.16.0//jackson-module-scala_2.13-2.16.0.jar
 jakarta.annotation-api/1.3.5//jakarta.annotation-api-1.3.5.jar
 jakarta.inject/2.6.1//jakarta.inject-2.6.1.jar
 jakarta.servlet-api/4.0.3//jakarta.servlet-api-4.0.3.jar
@@ -246,7 +246,7 @@ scala-xml_2.13/2.1.0//scala-xml_2.13-2.1.0.jar
 shims/0.9.38//shims-0.9.38.jar
 slf4j-api/2.0.6//slf4j-api-2.0.6.jar
 snakeyaml-engine/2.7//snakeyaml-engine-2.7.jar
-snakeyaml/2.0//snakeyaml-2.0.jar
+snakeyaml/2.2//snakeyaml-2.2.jar
 snappy-java/1.1.10.5//snappy-java-1.1.10.5.jar
 spire-macros_2.13/0.18.0//spire-macros_2.13-0.18.0.jar
 spire-platform_2.13/0.18.0//spire-platform_2.13-0.18.0.jar

pom.xml

@@ -183,8 +183,8 @@
     <scalafmt.validateOnly>true</scalafmt.validateOnly>
     <scalafmt.changedOnly>true</scalafmt.changedOnly>
     <codehaus.jackson.version>1.9.13</codehaus.jackson.version>
-    <fasterxml.jackson.version>2.15.2</fasterxml.jackson.version>
-    <fasterxml.jackson.databind.version>2.15.2</fasterxml.jackson.databind.version>
+    <fasterxml.jackson.version>2.16.0</fasterxml.jackson.version>
+    <fasterxml.jackson.databind.version>2.16.0</fasterxml.jackson.databind.version>
     <snappy.version>1.1.10.5</snappy.version>
     <netlib.ludovic.dev.version>3.0.3</netlib.ludovic.dev.version>
     <commons-codec.version>1.15</commons-codec.version>

sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala

@@ -1084,7 +1084,8 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
     val invalidDataType = "MAP<INT, cow>"
     val invalidDataTypeReason = "Unrecognized token 'MAP': " +
       "was expecting (JSON String, Number, Array, Object or token 'null', 'true' or 'false')\n " +
-      "at [Source: (String)\"MAP<INT, cow>\"; line: 1, column: 4]"
+      "at [Source: REDACTED (`StreamReadFeature.INCLUDE_SOURCE_IN_LOCATION` disabled); " +
+      "line: 1, column: 4]"
     checkError(
       exception = intercept[AnalysisException] {
         df.select(from_json($"json", invalidDataType, Map.empty[String, String])).collect()
@@ -1099,7 +1100,8 @@ class JsonFunctionsSuite extends QueryTest with SharedSparkSession {
     val invalidTableSchema = "x INT, a cow"
     val invalidTableSchemaReason = "Unrecognized token 'x': " +
       "was expecting (JSON String, Number, Array, Object or token 'null', 'true' or 'false')\n" +
-      " at [Source: (String)\"x INT, a cow\"; line: 1, column: 2]"
+      " at [Source: REDACTED (`StreamReadFeature.INCLUDE_SOURCE_IN_LOCATION` disabled); " +
+      "line: 1, column: 2]"
     checkError(
       exception = intercept[AnalysisException] {
         df.select(from_json($"json", invalidTableSchema, Map.empty[String, String])).collect()