From 9f4068cf8eb4351c02a4862380547ecf2564d838 Mon Sep 17 00:00:00 2001
From: HemangChothani <50404902+HemangChothani@users.noreply.github.com>
Date: Tue, 26 May 2020 19:47:10 +0530
Subject: [PATCH] docs(bigtable): clean up (#32)

---
 google/cloud/bigtable/cluster.py  | 12 ------------
 google/cloud/bigtable/instance.py |  3 ---
 google/cloud/bigtable/table.py    |  9 +++------
 3 files changed, 3 insertions(+), 21 deletions(-)

diff --git a/google/cloud/bigtable/cluster.py b/google/cloud/bigtable/cluster.py
index 5ff1d0404..edb5d261b 100644
--- a/google/cloud/bigtable/cluster.py
+++ b/google/cloud/bigtable/cluster.py
@@ -286,18 +286,6 @@ def update(self):
 
             before calling :meth:`update`.
 
-        :type location: :str:``CreationOnly``
-        :param location: The location where this cluster's nodes and storage
-                reside. For best performance, clients should be located as
-                close as possible to this cluster. Currently only zones are
-                supported, so values should be of the form
-                ``projects/<project>/locations/<zone>``.
-
-        :type serve_nodes: :int
-        :param serve_nodes: The number of nodes allocated to this cluster.
-                More nodes enable higher throughput and more consistent
-                performance.
-
         :rtype: :class:`Operation`
         :returns: The long-running operation corresponding to the
                   update operation.
diff --git a/google/cloud/bigtable/instance.py b/google/cloud/bigtable/instance.py
index dbdd20640..e0a30590b 100644
--- a/google/cloud/bigtable/instance.py
+++ b/google/cloud/bigtable/instance.py
@@ -537,9 +537,6 @@ def cluster(
         :type cluster_id: str
         :param cluster_id: The ID of the cluster.
 
-        :type instance: :class:`~google.cloud.bigtable.instance.Instance`
-        :param instance: The instance where the cluster resides.
-
         :type location_id: str
         :param location_id: (Creation Only) The location where this cluster's
                             nodes and storage reside. For best performance,
diff --git a/google/cloud/bigtable/table.py b/google/cloud/bigtable/table.py
index 69379b21d..4852ff6e1 100644
--- a/google/cloud/bigtable/table.py
+++ b/google/cloud/bigtable/table.py
@@ -359,7 +359,7 @@ def create(self, initial_split_keys=[], column_families={}):
                                    into several tablets.
 
         :type column_families: dict
-        :param column_failies: (Optional) A map columns to create.  The key is
+        :param column_families: (Optional) A map columns to create.  The key is
                                the column_id str and the value is a
                                :class:`GarbageCollectionRule`
         """
@@ -734,8 +734,8 @@ def drop_by_prefix(self, row_key_prefix, timeout=None):
             :start-after: [START bigtable_drop_by_prefix]
             :end-before: [END bigtable_drop_by_prefix]
 
-        :type row_prefix: bytes
-        :param row_prefix: Delete all rows that start with this row key
+        :type row_key_prefix: bytes
+        :param row_key_prefix: Delete all rows that start with this row key
                             prefix. Prefix cannot be zero length.
 
         :type timeout: float
@@ -768,9 +768,6 @@ def mutations_batcher(self, flush_count=FLUSH_COUNT, max_row_bytes=MAX_ROW_BYTES
             :start-after: [START bigtable_mutations_batcher]
             :end-before: [END bigtable_mutations_batcher]
 
-        :type table: class
-        :param table: class:`~google.cloud.bigtable.table.Table`.
-
         :type flush_count: int
         :param flush_count: (Optional) Maximum number of rows per batch. If it
                 reaches the max number of rows it calls finish_batch() to