[SPARK-27256][CORE][SQL] If the configuration is used to set the number of bytes, we'd better use bytesConf'.

## What changes were proposed in this pull request?
Currently, if we want to configure `spark.sql.files.maxPartitionBytes` to 256 megabytes, we must set  `spark.sql.files.maxPartitionBytes=268435456`, which is very unfriendly to users.

And if we set it like this:`spark.sql.files.maxPartitionBytes=256M`, we will  encounter this exception:
```
Exception in thread "main" java.lang.IllegalArgumentException:
 spark.sql.files.maxPartitionBytes should be long, but was 256M
        at org.apache.spark.internal.config.ConfigHelpers$.toNumber(ConfigBuilder.scala)
```
This PR use `bytesConf` to replace `longConf` or `intConf`,  if the configuration is used to set the number of bytes.
Configuration change list:
`spark.files.maxPartitionBytes`
`spark.files.openCostInBytes`
`spark.shuffle.sort.initialBufferSize`
`spark.shuffle.spill.initialMemoryThreshold`
`spark.sql.autoBroadcastJoinThreshold`
`spark.sql.files.maxPartitionBytes`
`spark.sql.files.openCostInBytes`
`spark.sql.defaultSizeInBytes`
## How was this patch tested?
1.Existing unit tests
2.Manual testing

Closes apache#24187 from 10110346/bytesConf.

Authored-by: liuxian <liu.xian3@zte.com.cn>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>

Author: 10110346

core/src/main/java/org/apache/spark/shuffle/sort/UnsafeShuffleWriter.java

@@ -144,7 +144,7 @@ public UnsafeShuffleWriter(
     this.sparkConf = sparkConf;
     this.transferToEnabled = sparkConf.getBoolean("spark.file.transferTo", true);
     this.initialSortBufferSize =
-      (int) sparkConf.get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE());
+      (int) (long) sparkConf.get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE());
     this.inputBufferSizeInBytes =
       (int) (long) sparkConf.get(package$.MODULE$.SHUFFLE_FILE_BUFFER_SIZE()) * 1024;
     this.outputBufferSizeInBytes =

core/src/main/scala/org/apache/spark/internal/config/package.scala

@@ -606,15 +606,15 @@ package object config {
 
   private[spark] val FILES_MAX_PARTITION_BYTES = ConfigBuilder("spark.files.maxPartitionBytes")
     .doc("The maximum number of bytes to pack into a single partition when reading files.")
-    .longConf
+    .bytesConf(ByteUnit.BYTE)
     .createWithDefault(128 * 1024 * 1024)
 
   private[spark] val FILES_OPEN_COST_IN_BYTES = ConfigBuilder("spark.files.openCostInBytes")
     .doc("The estimated cost to open a file, measured by the number of bytes could be scanned in" +
       " the same time. This is used when putting multiple files into a partition. It's better to" +
       " over estimate, then the partitions with small files will be faster than partitions with" +
       " bigger files.")
-    .longConf
+    .bytesConf(ByteUnit.BYTE)
     .createWithDefault(4 * 1024 * 1024)
 
   private[spark] val HADOOP_RDD_IGNORE_EMPTY_SPLITS =
@@ -868,8 +868,9 @@ package object config {
   private[spark] val SHUFFLE_SORT_INIT_BUFFER_SIZE =
     ConfigBuilder("spark.shuffle.sort.initialBufferSize")
       .internal()
-      .intConf
-      .checkValue(v => v > 0, "The value should be a positive integer.")
+      .bytesConf(ByteUnit.BYTE)
+      .checkValue(v => v > 0 && v <= Int.MaxValue,
+        s"The buffer size must be greater than 0 and less than or equal to ${Int.MaxValue}.")
       .createWithDefault(4096)
 
   private[spark] val SHUFFLE_COMPRESS =
@@ -891,7 +892,7 @@ package object config {
       .internal()
       .doc("Initial threshold for the size of a collection before we start tracking its " +
         "memory usage.")
-      .longConf
+      .bytesConf(ByteUnit.BYTE)
       .createWithDefault(5 * 1024 * 1024)
 
   private[spark] val SHUFFLE_SPILL_BATCH_SIZE =

sql/catalyst/src/main/java/org/apache/spark/sql/execution/UnsafeExternalRowSorter.java

@@ -111,7 +111,7 @@ private UnsafeExternalRowSorter(
       taskContext,
       recordComparatorSupplier,
       prefixComparator,
-      (int) sparkEnv.conf().get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE()),
+      (int) (long) sparkEnv.conf().get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE()),
       pageSizeBytes,
       (int) SparkEnv.get().conf().get(
         package$.MODULE$.SHUFFLE_SPILL_NUM_ELEMENTS_FORCE_SPILL_THRESHOLD()),

sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala

@@ -254,7 +254,7 @@ object SQLConf {
       "command <code>ANALYZE TABLE &lt;tableName&gt; COMPUTE STATISTICS noscan</code> has been " +
       "run, and file-based data source tables where the statistics are computed directly on " +
       "the files of data.")
-    .longConf
+    .bytesConf(ByteUnit.BYTE)
     .createWithDefault(10L * 1024 * 1024)
 
   val LIMIT_SCALE_UP_FACTOR = buildConf("spark.sql.limit.scaleUpFactor")
@@ -853,7 +853,7 @@ object SQLConf {
 
   val FILES_MAX_PARTITION_BYTES = buildConf("spark.sql.files.maxPartitionBytes")
     .doc("The maximum number of bytes to pack into a single partition when reading files.")
-    .longConf
+    .bytesConf(ByteUnit.BYTE)
     .createWithDefault(128 * 1024 * 1024) // parquet.block.size
 
   val FILES_OPEN_COST_IN_BYTES = buildConf("spark.sql.files.openCostInBytes")
@@ -1156,7 +1156,7 @@ object SQLConf {
       s"which is larger than `${AUTO_BROADCASTJOIN_THRESHOLD.key}` to be more conservative. " +
       "That is to say by default the optimizer will not choose to broadcast a table unless it " +
       "knows for sure its size is small enough.")
-    .longConf
+    .bytesConf(ByteUnit.BYTE)
     .createWithDefault(Long.MaxValue)
 
   val NDV_MAX_ERROR =

sql/core/src/main/java/org/apache/spark/sql/execution/UnsafeKVExternalSorter.java

@@ -94,7 +94,7 @@ public UnsafeKVExternalSorter(
         taskContext,
         comparatorSupplier,
         prefixComparator,
-        (int) SparkEnv.get().conf().get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE()),
+        (int) (long) SparkEnv.get().conf().get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE()),
         pageSizeBytes,
         numElementsForSpillThreshold,
         canUseRadixSort);
@@ -160,7 +160,7 @@ public UnsafeKVExternalSorter(
         taskContext,
         comparatorSupplier,
         prefixComparator,
-        (int) SparkEnv.get().conf().get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE()),
+        (int) (long) SparkEnv.get().conf().get(package$.MODULE$.SHUFFLE_SORT_INIT_BUFFER_SIZE()),
         pageSizeBytes,
         numElementsForSpillThreshold,
         inMemSorter);