[SPARK-36726] Upgrade Parquet to 1.12.1

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

Upgrade Apache Parquet to 1.12.1

### Why are the changes needed?

Parquet 1.12.1 contains the following bug fixes:
- PARQUET-2064: Make Range public accessible in RowRanges
- PARQUET-2022: ZstdDecompressorStream should close `zstdInputStream`
- PARQUET-2052: Integer overflow when writing huge binary using dictionary encoding
- PARQUET-1633: Fix integer overflow
- PARQUET-2054: fix TCP leaking when calling ParquetFileWriter.appendFile
- PARQUET-2072: Do Not Determine Both Min/Max for Binary Stats
- PARQUET-2073: Fix estimate remaining row count in ColumnWriteStoreBase
- PARQUET-2078: Failed to read parquet file after writing with the same

In particular PARQUET-2078 is a blocker for the upcoming Apache Spark 3.2.0 release.

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

No

### How was this patch tested?

Existing tests + a new test for the issue in SPARK-36696

Closes #33969 from sunchao/upgrade-parquet-12.1.

Authored-by: Chao Sun <[email protected]>
Signed-off-by: DB Tsai <[email protected]>
(cherry picked from commit a927b08)
Signed-off-by: DB Tsai <[email protected]>

Author: sunchao

dev/deps/spark-deps-hadoop-2.7-hive-2.3

@@ -201,12 +201,12 @@ orc-shims/1.6.10//orc-shims-1.6.10.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
-parquet-column/1.12.0//parquet-column-1.12.0.jar
-parquet-common/1.12.0//parquet-common-1.12.0.jar
-parquet-encoding/1.12.0//parquet-encoding-1.12.0.jar
-parquet-format-structures/1.12.0//parquet-format-structures-1.12.0.jar
-parquet-hadoop/1.12.0//parquet-hadoop-1.12.0.jar
-parquet-jackson/1.12.0//parquet-jackson-1.12.0.jar
+parquet-column/1.12.1//parquet-column-1.12.1.jar
+parquet-common/1.12.1//parquet-common-1.12.1.jar
+parquet-encoding/1.12.1//parquet-encoding-1.12.1.jar
+parquet-format-structures/1.12.1//parquet-format-structures-1.12.1.jar
+parquet-hadoop/1.12.1//parquet-hadoop-1.12.1.jar
+parquet-jackson/1.12.1//parquet-jackson-1.12.1.jar
 protobuf-java/2.5.0//protobuf-java-2.5.0.jar
 py4j/0.10.9.2//py4j-0.10.9.2.jar
 pyrolite/4.30//pyrolite-4.30.jar

dev/deps/spark-deps-hadoop-3.2-hive-2.3

@@ -172,12 +172,12 @@ orc-shims/1.6.10//orc-shims-1.6.10.jar
 oro/2.0.8//oro-2.0.8.jar
 osgi-resource-locator/1.0.3//osgi-resource-locator-1.0.3.jar
 paranamer/2.8//paranamer-2.8.jar
-parquet-column/1.12.0//parquet-column-1.12.0.jar
-parquet-common/1.12.0//parquet-common-1.12.0.jar
-parquet-encoding/1.12.0//parquet-encoding-1.12.0.jar
-parquet-format-structures/1.12.0//parquet-format-structures-1.12.0.jar
-parquet-hadoop/1.12.0//parquet-hadoop-1.12.0.jar
-parquet-jackson/1.12.0//parquet-jackson-1.12.0.jar
+parquet-column/1.12.1//parquet-column-1.12.1.jar
+parquet-common/1.12.1//parquet-common-1.12.1.jar
+parquet-encoding/1.12.1//parquet-encoding-1.12.1.jar
+parquet-format-structures/1.12.1//parquet-format-structures-1.12.1.jar
+parquet-hadoop/1.12.1//parquet-hadoop-1.12.1.jar
+parquet-jackson/1.12.1//parquet-jackson-1.12.1.jar
 protobuf-java/2.5.0//protobuf-java-2.5.0.jar
 py4j/0.10.9.2//py4j-0.10.9.2.jar
 pyrolite/4.30//pyrolite-4.30.jar

pom.xml

@@ -136,7 +136,7 @@
     <kafka.version>2.8.0</kafka.version>
     <!-- After 10.15.1.3, the minimum required version is JDK9 -->
     <derby.version>10.14.2.0</derby.version>
-    <parquet.version>1.12.0</parquet.version>
+    <parquet.version>1.12.1</parquet.version>
     <orc.version>1.6.10</orc.version>
     <jetty.version>9.4.43.v20210629</jetty.version>
     <jakartaservlet.version>4.0.3</jakartaservlet.version>

sql/core/src/test/resources/test-data/malformed-file-offset.parquet

@@ -855,6 +855,12 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
     }
   }
 
+  test("SPARK-36726: test incorrect Parquet row group file offset") {
+    readParquetFile(testFile("test-data/malformed-file-offset.parquet")) { df =>
+      assert(df.count() == 3650)
+    }
+  }
+
   test("VectorizedParquetRecordReader - direct path read") {
     val data = (0 to 10).map(i => (i, (i + 'a').toChar.toString))
     withTempPath { dir =>