[SPARK-35395][DOCS] Move ORC data source options from Python and Scala into a single page

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

This PR proposes move ORC data source options from Python, Scala and Java into a single page.

### Why are the changes needed?

So far, the documentation for ORC data source options is separated into different pages for each language API documents. However, this makes managing many options inconvenient, so it is efficient to manage all options in a single page and provide a link to that page in the API of each language.

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

Yes, the documents will be shown below after this change:

- "ORC Files" page
![Screen Shot 2021-05-21 at 2 07 14 PM](https://user-images.githubusercontent.com/44108233/119085078-f4564d00-ba3d-11eb-8990-3ba031d809da.png)

- Python
![Screen Shot 2021-05-21 at 2 06 46 PM](https://user-images.githubusercontent.com/44108233/119085097-00daa580-ba3e-11eb-8017-ac5a95a7c053.png)

- Scala
![Screen Shot 2021-05-21 at 2 06 09 PM](https://user-images.githubusercontent.com/44108233/119085135-164fcf80-ba3e-11eb-9cac-78dded523f38.png)

- Java
![Screen Shot 2021-05-21 at 2 06 30 PM](https://user-images.githubusercontent.com/44108233/119085125-118b1b80-ba3e-11eb-9434-f26612d7da13.png)

### How was this patch tested?

Manually build docs and confirm the page.

Closes #32546 from itholic/SPARK-35395.

Authored-by: itholic <haejoon.lee@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>

Author: itholic

docs/sql-data-sources-orc.md

@@ -172,3 +172,29 @@ When reading from Hive metastore ORC tables and inserting to Hive metastore ORC
   <td>2.0.0</td>
   </tr>
 </table>
+
+## Data Source Option
+
+Data source options of ORC can be set via:
+* the `.option`/`.options` methods of
+  *  `DataFrameReader`
+  *  `DataFrameWriter`
+  *  `DataStreamReader`
+  *  `DataStreamWriter`
+
+<table class="table">
+  <tr><th><b>Property Name</b></th><th><b>Default</b></th><th><b>Meaning</b></th><th><b>Scope</b></th></tr>
+  <tr>
+    <td><code>mergeSchema</code></td>
+    <td>None</td>
+    <td>sets whether we should merge schemas collected from all ORC part-files. This will override <code>spark.sql.orc.mergeSchema</code>. The default value is specified in <code>spark.sql.orc.mergeSchema</code>.</td>
+    <td>read</td>
+  </tr>
+  <tr>
+    <td><code>compression</code></td>
+    <td>None</td>
+    <td>compression codec to use when saving to file. This can be one of the known case-insensitive shorten names (none, snappy, zlib, lzo, and zstd). This will override <code>orc.compress</code> and <code>spark.sql.orc.compression.codec</code>. If None is set, it uses the value specified in <code>spark.sql.orc.compression.codec</code>.</td>
+    <td>write</td>
+  </tr>
+</table>
+Other generic options can be found in <a href="https://spark.apache.org/docs/latest/sql-data-sources-generic-options.html"> Generic File Source Options</a>.

python/pyspark/sql/readwriter.py

@@ -793,28 +793,13 @@ def orc(self, path, mergeSchema=None, pathGlobFilter=None, recursiveFileLookup=N
         Parameters
         ----------
         path : str or list
-        mergeSchema : str or bool, optional
-            sets whether we should merge schemas collected from all
-            ORC part-files. This will override ``spark.sql.orc.mergeSchema``.
-            The default value is specified in ``spark.sql.orc.mergeSchema``.
-        pathGlobFilter : str or bool
-            an optional glob pattern to only include files with paths matching
-            the pattern. The syntax follows `org.apache.hadoop.fs.GlobFilter`.
-            It does not change the behavior of
-            `partition discovery <https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#partition-discovery>`_.  # noqa
-        recursiveFileLookup : str or bool
-            recursively scan a directory for files. Using this option
-            disables
-            `partition discovery <https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#partition-discovery>`_.  # noqa
 
-            modification times occurring before the specified time. The provided timestamp
-            must be in the following format: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)
-        modifiedBefore : an optional timestamp to only include files with
-            modification times occurring before the specified time. The provided timestamp
-            must be in the following format: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)
-        modifiedAfter : an optional timestamp to only include files with
-            modification times occurring after the specified time. The provided timestamp
-            must be in the following format: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)
+        Other Parameters
+        ----------------
+        Extra options
+            For the extra options, refer to
+            `Data Source Option <https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option>`_  # noqa
+            in the version you use.
 
         Examples
         --------
@@ -1417,12 +1402,13 @@ def orc(self, path, mode=None, partitionBy=None, compression=None):
                 exists.
         partitionBy : str or list, optional
             names of partitioning columns
-        compression : str, optional
-            compression codec to use when saving to file. This can be one of the
-            known case-insensitive shorten names (none, snappy, zlib, lzo, and zstd).
-            This will override ``orc.compress`` and
-            ``spark.sql.orc.compression.codec``. If None is set, it uses the value
-            specified in ``spark.sql.orc.compression.codec``.
+
+        Other Parameters
+        ----------------
+        Extra options
+            For the extra options, refer to
+            `Data Source Option <https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option>`_  # noqa
+            in the version you use.
 
         Examples
         --------

python/pyspark/sql/streaming.py

@@ -637,20 +637,12 @@ def orc(self, path, mergeSchema=None, pathGlobFilter=None, recursiveFileLookup=N
 
         .. versionadded:: 2.3.0
 
-        Parameters
-        ----------
-        mergeSchema : str or bool, optional
-            sets whether we should merge schemas collected from all
-            ORC part-files. This will override ``spark.sql.orc.mergeSchema``.
-            The default value is specified in ``spark.sql.orc.mergeSchema``.
-        pathGlobFilter : str or bool, optional
-            an optional glob pattern to only include files with paths matching
-            the pattern. The syntax follows `org.apache.hadoop.fs.GlobFilter`.
-            It does not change the behavior of `partition discovery`_.
-        recursiveFileLookup : str or bool, optional
-            recursively scan a directory for files. Using this option
-            disables
-            `partition discovery <https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#partition-discovery>`_.  # noqa
+        Other Parameters
+        ----------------
+        Extra options
+            For the extra options, refer to
+            `Data Source Option <https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option>`_  # noqa
+            in the version you use.
 
         Examples
         --------

sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala

@@ -874,23 +874,10 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
   /**
    * Loads ORC files and returns the result as a `DataFrame`.
    *
-   * You can set the following ORC-specific option(s) for reading ORC files:
-   * <ul>
-   * <li>`mergeSchema` (default is the value specified in `spark.sql.orc.mergeSchema`): sets whether
-   * we should merge schemas collected from all ORC part-files. This will override
-   * `spark.sql.orc.mergeSchema`.</li>
-   * <li>`pathGlobFilter`: an optional glob pattern to only include files with paths matching
-   * the pattern. The syntax follows <code>org.apache.hadoop.fs.GlobFilter</code>.
-   * It does not change the behavior of partition discovery.</li>
-   * <li>`modifiedBefore` (batch only): an optional timestamp to only include files with
-   * modification times  occurring before the specified Time. The provided timestamp
-   * must be in the following form: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)</li>
-   * <li>`modifiedAfter` (batch only): an optional timestamp to only include files with
-   * modification times occurring after the specified Time. The provided timestamp
-   * must be in the following form: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)</li>
-   * <li>`recursiveFileLookup`: recursively scan a directory for files. Using this option
-   * disables partition discovery</li>
-   * </ul>
+   * ORC-specific option(s) for reading ORC files can be found in
+   * <a href=
+   *   "https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option">
+   *   Data Source Option</a> in the version you use.
    *
    * @param paths input paths
    * @since 2.0.0

sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala

@@ -881,14 +881,10 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
    *   format("orc").save(path)
    * }}}
    *
-   * You can set the following ORC-specific option(s) for writing ORC files:
-   * <ul>
-   * <li>`compression` (default is the value specified in `spark.sql.orc.compression.codec`):
-   * compression codec to use when saving to file. This can be one of the known case-insensitive
-   * shorten names(`none`, `snappy`, `zlib`, `lzo`, and `zstd`). This will override
-   * `orc.compress` and `spark.sql.orc.compression.codec`. If `orc.compress` is given,
-   * it overrides `spark.sql.orc.compression.codec`.</li>
-   * </ul>
+   * ORC-specific option(s) for writing ORC files can be found in
+   * <a href=
+   *   "https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option">
+   *   Data Source Option</a> in the version you use.
    *
    * @since 1.5.0
    */

sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala

@@ -453,20 +453,17 @@ final class DataStreamReader private[sql](sparkSession: SparkSession) extends Lo
   /**
    * Loads a ORC file stream, returning the result as a `DataFrame`.
    *
-   * You can set the following ORC-specific option(s) for reading ORC files:
+   * You can set the following option(s):
    * <ul>
    * <li>`maxFilesPerTrigger` (default: no max limit): sets the maximum number of new files to be
    * considered in every trigger.</li>
-   * <li>`mergeSchema` (default is the value specified in `spark.sql.orc.mergeSchema`): sets whether
-   * we should merge schemas collected from all ORC part-files. This will override
-   * `spark.sql.orc.mergeSchema`.</li>
-   * <li>`pathGlobFilter`: an optional glob pattern to only include files with paths matching
-   * the pattern. The syntax follows <code>org.apache.hadoop.fs.GlobFilter</code>.
-   * It does not change the behavior of partition discovery.</li>
-   * <li>`recursiveFileLookup`: recursively scan a directory for files. Using this option
-   * disables partition discovery</li>
    * </ul>
    *
+   * ORC-specific option(s) for reading ORC file stream can be found in
+   * <a href=
+   *   "https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option">
+   *   Data Source Option</a> in the version you use.
+   *
    * @since 2.3.0
    */
   def orc(path: String): DataFrame = {