[SPARK-42951][SS][CONNECT] DataStreamReader APIs

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

This PR adds the `orc`, `parquet`, and `text` APIs in connect's DataStreamReader

### Why are the changes needed?

Part of Streaming Connect project.

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

Yes, now the three APIs are enabled. But everything is pretty much still under developed so far.

### How was this patch tested?

Manually tested, unit tests will be added in SPARK-43031 as a follow-up PR #40691.

Closes #40689 from WweiL/SPARK-42951-reader-apis.

Authored-by: Wei Liu <wei.liu@databricks.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>

Author: WweiL

python/pyspark/sql/connect/streaming/readwriter.py

@@ -168,9 +168,75 @@ def json(
 
     json.__doc__ = PySparkDataStreamReader.json.__doc__
 
-    # def orc() TODO
-    # def parquet() TODO
-    # def text() TODO
+    def orc(
+        self,
+        path: str,
+        mergeSchema: Optional[bool] = None,
+        pathGlobFilter: Optional[Union[bool, str]] = None,
+        recursiveFileLookup: Optional[Union[bool, str]] = None,
+    ) -> "DataFrame":
+        self._set_opts(
+            mergeSchema=mergeSchema,
+            pathGlobFilter=pathGlobFilter,
+            recursiveFileLookup=recursiveFileLookup,
+        )
+        if isinstance(path, str):
+            return self.load(path=path, format="orc")
+        else:
+            raise TypeError("path can be only a single string")
+
+    orc.__doc__ = PySparkDataStreamReader.orc.__doc__
+
+    def parquet(
+        self,
+        path: str,
+        mergeSchema: Optional[bool] = None,
+        pathGlobFilter: Optional[Union[bool, str]] = None,
+        recursiveFileLookup: Optional[Union[bool, str]] = None,
+        datetimeRebaseMode: Optional[Union[bool, str]] = None,
+        int96RebaseMode: Optional[Union[bool, str]] = None,
+    ) -> "DataFrame":
+        self._set_opts(
+            mergeSchema=mergeSchema,
+            pathGlobFilter=pathGlobFilter,
+            recursiveFileLookup=recursiveFileLookup,
+            datetimeRebaseMode=datetimeRebaseMode,
+            int96RebaseMode=int96RebaseMode,
+        )
+        self._set_opts(
+            mergeSchema=mergeSchema,
+            pathGlobFilter=pathGlobFilter,
+            recursiveFileLookup=recursiveFileLookup,
+            datetimeRebaseMode=datetimeRebaseMode,
+            int96RebaseMode=int96RebaseMode,
+        )
+        if isinstance(path, str):
+            return self.load(path=path, format="parquet")
+        else:
+            raise TypeError("path can be only a single string")
+
+    parquet.__doc__ = PySparkDataStreamReader.parquet.__doc__
+
+    def text(
+        self,
+        path: str,
+        wholetext: bool = False,
+        lineSep: Optional[str] = None,
+        pathGlobFilter: Optional[Union[bool, str]] = None,
+        recursiveFileLookup: Optional[Union[bool, str]] = None,
+    ) -> "DataFrame":
+        self._set_opts(
+            wholetext=wholetext,
+            lineSep=lineSep,
+            pathGlobFilter=pathGlobFilter,
+            recursiveFileLookup=recursiveFileLookup,
+        )
+        if isinstance(path, str):
+            return self.load(path=path, format="text")
+        else:
+            raise TypeError("path can be only a single string")
+
+    text.__doc__ = PySparkDataStreamReader.text.__doc__
 
     def csv(
         self,
@@ -245,7 +311,7 @@ def csv(
 
     csv.__doc__ = PySparkDataStreamReader.csv.__doc__
 
-    # def table() TODO. Use Read(table_name) relation.
+    # def table() TODO(SPARK-43042). Use Read(table_name) relation.
 
 
 DataStreamReader.__doc__ = PySparkDataStreamReader.__doc__