Updated version to 1.0.0-rc.2

kubeflow · Jun 16, 2020 · 0796340 · 0796340
1 parent e27f474
commit 0796340
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diff --git a/VERSION b/VERSION
@@ -1 +1 @@
-1.0.0-rc.1
+1.0.0-rc.2
diff --git a/backend/api/python_http_client/README.md b/backend/api/python_http_client/README.md
@@ -3,8 +3,8 @@ This file contains REST API specification for Kubeflow Pipelines. The file is au
 
 This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
 
-- API version: 1.0.0-rc.1
-- Package version: 1.0.0-rc.1
+- API version: 1.0.0-rc.2
+- Package version: 1.0.0-rc.2
 - Build package: org.openapitools.codegen.languages.PythonClientCodegen
 For more information, please visit [https://www.google.com](https://www.google.com)
 

diff --git a/backend/api/python_http_client/kfp_server_api/__init__.py b/backend/api/python_http_client/kfp_server_api/__init__.py
@@ -28,7 +28,7 @@
 
 from __future__ import absolute_import
 
-__version__ = "1.0.0-rc.1"
+__version__ = "1.0.0-rc.2"
 
 # import apis into sdk package
 from kfp_server_api.api.experiment_service_api import ExperimentServiceApi

diff --git a/backend/api/python_http_client/kfp_server_api/api_client.py b/backend/api/python_http_client/kfp_server_api/api_client.py
@@ -92,7 +92,7 @@ def __init__(self, configuration=None, header_name=None, header_value=None,
             self.default_headers[header_name] = header_value
         self.cookie = cookie
         # Set default User-Agent.
-        self.user_agent = 'OpenAPI-Generator/1.0.0-rc.1/python'
+        self.user_agent = 'OpenAPI-Generator/1.0.0-rc.2/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

diff --git a/backend/api/python_http_client/kfp_server_api/configuration.py b/backend/api/python_http_client/kfp_server_api/configuration.py
@@ -365,8 +365,8 @@ def to_debug_report(self):
         return "Python SDK Debug Report:\n"\
                "OS: {env}\n"\
                "Python Version: {pyversion}\n"\
-               "Version of the API: 1.0.0-rc.1\n"\
-               "SDK Package Version: 1.0.0-rc.1".\
+               "Version of the API: 1.0.0-rc.2\n"\
+               "SDK Package Version: 1.0.0-rc.2".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self):

diff --git a/backend/api/python_http_client/setup.py b/backend/api/python_http_client/setup.py
@@ -27,7 +27,7 @@
 from setuptools import setup, find_packages  # noqa: H301
 
 NAME = "kfp-server-api"
-VERSION = "1.0.0-rc.1"
+VERSION = "1.0.0-rc.2"
 # To install the library, run the following
 #
 # python setup.py install

diff --git a/backend/api/swagger/kfp_api_single_file.swagger.json b/backend/api/swagger/kfp_api_single_file.swagger.json
diff --git a/components/gcp/bigquery/query/README.md b/components/gcp/bigquery/query/README.md
@@ -85,7 +85,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
 import kfp.components as comp
 
 bigquery_query_op = comp.load_component_from_url(
-    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/bigquery/query/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/bigquery/query/component.yaml')
 help(bigquery_query_op)
 ```
 

diff --git a/components/gcp/bigquery/query/component.yaml b/components/gcp/bigquery/query/component.yaml
@@ -59,7 +59,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.bigquery, query,

diff --git a/components/gcp/bigquery/query/sample.ipynb b/components/gcp/bigquery/query/sample.ipynb
@@ -104,7 +104,7 @@
     "import kfp.components as comp\n",
     "\n",
     "bigquery_query_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/bigquery/query/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/bigquery/query/component.yaml')\n",
     "help(bigquery_query_op)"
    ]
   },

diff --git a/components/gcp/container/component_sdk/python/setup.py b/components/gcp/container/component_sdk/python/setup.py
@@ -15,7 +15,7 @@
 from setuptools import setup
 
 PACKAGE_NAME = 'kfp-component'
-VERSION = '1.0.0-rc.1'
+VERSION = '1.0.0-rc.2'
 
 setup(
     name=PACKAGE_NAME,

diff --git a/components/gcp/dataflow/launch_python/README.md b/components/gcp/dataflow/launch_python/README.md
@@ -91,7 +91,7 @@ The steps to use the component in a pipeline are:
     ```python
     import kfp.components as comp
 
-    dataflow_python_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataflow/launch_python/component.yaml')
+    dataflow_python_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataflow/launch_python/component.yaml')
     help(dataflow_python_op)
     ```
 

diff --git a/components/gcp/dataflow/launch_python/component.yaml b/components/gcp/dataflow/launch_python/component.yaml
@@ -53,7 +53,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataflow, launch_python,

diff --git a/components/gcp/dataflow/launch_python/sample.ipynb b/components/gcp/dataflow/launch_python/sample.ipynb
@@ -92,7 +92,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataflow_python_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataflow/launch_python/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataflow/launch_python/component.yaml')\n",
     "help(dataflow_python_op)"
    ]
   },

diff --git a/components/gcp/dataflow/launch_template/README.md b/components/gcp/dataflow/launch_template/README.md
@@ -64,7 +64,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
 import kfp.components as comp
 
 dataflow_template_op = comp.load_component_from_url(
-    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataflow/launch_template/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataflow/launch_template/component.yaml')
 help(dataflow_template_op)
 ```
 

diff --git a/components/gcp/dataflow/launch_template/component.yaml b/components/gcp/dataflow/launch_template/component.yaml
@@ -63,7 +63,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataflow, launch_template,

diff --git a/components/gcp/dataflow/launch_template/sample.ipynb b/components/gcp/dataflow/launch_template/sample.ipynb
@@ -82,7 +82,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataflow_template_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataflow/launch_template/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataflow/launch_template/component.yaml')\n",
     "help(dataflow_template_op)"
    ]
   },

diff --git a/components/gcp/dataproc/create_cluster/README.md b/components/gcp/dataproc/create_cluster/README.md
@@ -88,7 +88,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_create_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/create_cluster/component.yaml')
+    dataproc_create_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/create_cluster/component.yaml')
     help(dataproc_create_cluster_op)
     ```
 

diff --git a/components/gcp/dataproc/create_cluster/component.yaml b/components/gcp/dataproc/create_cluster/component.yaml
@@ -70,7 +70,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, create_cluster,

diff --git a/components/gcp/dataproc/create_cluster/sample.ipynb b/components/gcp/dataproc/create_cluster/sample.ipynb
@@ -88,7 +88,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_create_cluster_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/create_cluster/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/create_cluster/component.yaml')\n",
     "help(dataproc_create_cluster_op)"
    ]
   },

diff --git a/components/gcp/dataproc/delete_cluster/README.md b/components/gcp/dataproc/delete_cluster/README.md
@@ -66,7 +66,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_delete_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/delete_cluster/component.yaml')
+    dataproc_delete_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/delete_cluster/component.yaml')
     help(dataproc_delete_cluster_op)
     ```
 

diff --git a/components/gcp/dataproc/delete_cluster/component.yaml b/components/gcp/dataproc/delete_cluster/component.yaml
@@ -36,7 +36,7 @@ inputs:
     type: Integer
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       kfp_component.google.dataproc, delete_cluster,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/delete_cluster/sample.ipynb b/components/gcp/dataproc/delete_cluster/sample.ipynb
@@ -71,7 +71,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_delete_cluster_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/delete_cluster/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/delete_cluster/component.yaml')\n",
     "help(dataproc_delete_cluster_op)"
    ]
   },

diff --git a/components/gcp/dataproc/submit_hadoop_job/README.md b/components/gcp/dataproc/submit_hadoop_job/README.md
@@ -83,7 +83,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_submit_hadoop_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_hadoop_job/component.yaml')
+    dataproc_submit_hadoop_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_hadoop_job/component.yaml')
     help(dataproc_submit_hadoop_job_op)
     ```
 

diff --git a/components/gcp/dataproc/submit_hadoop_job/component.yaml b/components/gcp/dataproc/submit_hadoop_job/component.yaml
@@ -80,7 +80,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, submit_hadoop_job,

diff --git a/components/gcp/dataproc/submit_hadoop_job/sample.ipynb b/components/gcp/dataproc/submit_hadoop_job/sample.ipynb
@@ -86,7 +86,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_hadoop_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
     "help(dataproc_submit_hadoop_job_op)"
    ]
   },

diff --git a/components/gcp/dataproc/submit_hive_job/README.md b/components/gcp/dataproc/submit_hive_job/README.md
@@ -73,7 +73,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_submit_hive_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_hive_job/component.yaml')
+    dataproc_submit_hive_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_hive_job/component.yaml')
     help(dataproc_submit_hive_job_op)
     ```
 

diff --git a/components/gcp/dataproc/submit_hive_job/component.yaml b/components/gcp/dataproc/submit_hive_job/component.yaml
@@ -75,7 +75,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, submit_hive_job,

diff --git a/components/gcp/dataproc/submit_hive_job/sample.ipynb b/components/gcp/dataproc/submit_hive_job/sample.ipynb
@@ -77,7 +77,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_hive_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
     "help(dataproc_submit_hive_job_op)"
    ]
   },

diff --git a/components/gcp/dataproc/submit_pig_job/README.md b/components/gcp/dataproc/submit_pig_job/README.md
@@ -82,7 +82,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_submit_pig_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_pig_job/component.yaml')
+    dataproc_submit_pig_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_pig_job/component.yaml')
     help(dataproc_submit_pig_job_op)
     ```
 

diff --git a/components/gcp/dataproc/submit_pig_job/component.yaml b/components/gcp/dataproc/submit_pig_job/component.yaml
@@ -75,7 +75,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, submit_pig_job,

diff --git a/components/gcp/dataproc/submit_pig_job/sample.ipynb b/components/gcp/dataproc/submit_pig_job/sample.ipynb
@@ -80,7 +80,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_pig_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
     "help(dataproc_submit_pig_job_op)"
    ]
   },

diff --git a/components/gcp/dataproc/submit_pyspark_job/README.md b/components/gcp/dataproc/submit_pyspark_job/README.md
@@ -79,7 +79,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_submit_pyspark_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_pyspark_job/component.yaml')
+    dataproc_submit_pyspark_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_pyspark_job/component.yaml')
     help(dataproc_submit_pyspark_job_op)
     ```
 

diff --git a/components/gcp/dataproc/submit_pyspark_job/component.yaml b/components/gcp/dataproc/submit_pyspark_job/component.yaml
@@ -69,7 +69,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, submit_pyspark_job,

diff --git a/components/gcp/dataproc/submit_pyspark_job/sample.ipynb b/components/gcp/dataproc/submit_pyspark_job/sample.ipynb
@@ -82,7 +82,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_pyspark_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
     "help(dataproc_submit_pyspark_job_op)"
    ]
   },

diff --git a/components/gcp/dataproc/submit_spark_job/README.md b/components/gcp/dataproc/submit_spark_job/README.md
@@ -95,7 +95,7 @@ Follow these steps to use the component in a pipeline:
     import kfp.components as comp
 
     dataproc_submit_spark_job_op = comp.load_component_from_url(
-        'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_spark_job/component.yaml')
+        'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_spark_job/component.yaml')
     help(dataproc_submit_spark_job_op)
     ```
 

diff --git a/components/gcp/dataproc/submit_spark_job/component.yaml b/components/gcp/dataproc/submit_spark_job/component.yaml
@@ -76,7 +76,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, submit_spark_job,

diff --git a/components/gcp/dataproc/submit_spark_job/sample.ipynb b/components/gcp/dataproc/submit_spark_job/sample.ipynb
@@ -93,7 +93,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_spark_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
     "help(dataproc_submit_spark_job_op)"
    ]
   },

diff --git a/components/gcp/dataproc/submit_sparksql_job/README.md b/components/gcp/dataproc/submit_sparksql_job/README.md
@@ -74,7 +74,7 @@ Follow these steps to use the component in a pipeline:
     ```python
     import kfp.components as comp
 
-    dataproc_submit_sparksql_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_sparksql_job/component.yaml')
+    dataproc_submit_sparksql_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_sparksql_job/component.yaml')
     help(dataproc_submit_sparksql_job_op)
     ```
 

diff --git a/components/gcp/dataproc/submit_sparksql_job/component.yaml b/components/gcp/dataproc/submit_sparksql_job/component.yaml
@@ -75,7 +75,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.dataproc, submit_sparksql_job,

diff --git a/components/gcp/dataproc/submit_sparksql_job/sample.ipynb b/components/gcp/dataproc/submit_sparksql_job/sample.ipynb
@@ -78,7 +78,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_sparksql_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
     "help(dataproc_submit_sparksql_job_op)"
    ]
   },

diff --git a/components/gcp/ml_engine/batch_predict/README.md b/components/gcp/ml_engine/batch_predict/README.md
@@ -87,7 +87,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
 import kfp.components as comp
 
 mlengine_batch_predict_op = comp.load_component_from_url(
-    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/ml_engine/batch_predict/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/ml_engine/batch_predict/component.yaml')
 help(mlengine_batch_predict_op)
 ```
 

diff --git a/components/gcp/ml_engine/batch_predict/component.yaml b/components/gcp/ml_engine/batch_predict/component.yaml
@@ -69,7 +69,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.1
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.0.0-rc.2
     args: [
       --ui_metadata_path, {outputPath: MLPipeline UI metadata},
       kfp_component.google.ml_engine, batch_predict,

diff --git a/components/gcp/ml_engine/batch_predict/sample.ipynb b/components/gcp/ml_engine/batch_predict/sample.ipynb
@@ -106,7 +106,7 @@
     "import kfp.components as comp\n",
     "\n",
     "mlengine_batch_predict_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.1/components/gcp/ml_engine/batch_predict/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.0.0-rc.2/components/gcp/ml_engine/batch_predict/component.yaml')\n",
     "help(mlengine_batch_predict_op)"
    ]
   },