release-b63472062bd80737c7f39e0eda901db0fe23a5e0 (#2700)

* Updated component images to version b634720 * Updated components to version a8d3b69 * update component sdk version
kubeflow · Dec 5, 2019 · 5f17ecd · 5f17ecd
1 parent b634720
commit 5f17ecd
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diff --git a/components/gcp/bigquery/query/README.md b/components/gcp/bigquery/query/README.md
@@ -89,7 +89,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/bigquery/query/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.bigquery, query,
       --query, {inputValue: query},

diff --git a/components/gcp/bigquery/query/sample.ipynb b/components/gcp/bigquery/query/sample.ipynb
@@ -108,7 +108,7 @@
     "import kfp.components as comp\n",
     "\n",
     "bigquery_query_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/bigquery/query/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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 = '0.1.36'
+VERSION = '0.1.37'
 
 setup(
     name=PACKAGE_NAME,

diff --git a/components/gcp/dataflow/launch_python/README.md b/components/gcp/dataflow/launch_python/README.md
@@ -94,7 +94,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataflow/launch_python/component.yaml')
+    dataflow_python_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataflow, launch_python,
       --python_file_path, {inputValue: python_file_path},

diff --git a/components/gcp/dataflow/launch_python/sample.ipynb b/components/gcp/dataflow/launch_python/sample.ipynb
@@ -95,7 +95,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataflow_python_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataflow/launch_python/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -67,7 +67,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataflow/launch_template/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataflow, launch_template,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataflow/launch_template/sample.ipynb b/components/gcp/dataflow/launch_template/sample.ipynb
@@ -85,7 +85,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataflow_template_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataflow/launch_template/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -92,7 +92,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/create_cluster/component.yaml')
+    dataproc_create_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, create_cluster,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/create_cluster/sample.ipynb b/components/gcp/dataproc/create_cluster/sample.ipynb
@@ -92,7 +92,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_create_cluster_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/create_cluster/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -70,7 +70,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/delete_cluster/component.yaml')
+    dataproc_delete_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     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
@@ -75,7 +75,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_delete_cluster_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/delete_cluster/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -87,7 +87,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_hadoop_job/component.yaml')
+    dataproc_submit_hadoop_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, submit_hadoop_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_hadoop_job/sample.ipynb b/components/gcp/dataproc/submit_hadoop_job/sample.ipynb
@@ -90,7 +90,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_hadoop_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -77,7 +77,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_hive_job/component.yaml')
+    dataproc_submit_hive_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, submit_hive_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_hive_job/sample.ipynb b/components/gcp/dataproc/submit_hive_job/sample.ipynb
@@ -81,7 +81,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_hive_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -86,7 +86,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_pig_job/component.yaml')
+    dataproc_submit_pig_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, submit_pig_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_pig_job/sample.ipynb b/components/gcp/dataproc/submit_pig_job/sample.ipynb
@@ -84,7 +84,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_pig_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -83,7 +83,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_pyspark_job/component.yaml')
+    dataproc_submit_pyspark_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, submit_pyspark_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_pyspark_job/sample.ipynb b/components/gcp/dataproc/submit_pyspark_job/sample.ipynb
@@ -86,7 +86,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_pyspark_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -101,7 +101,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_spark_job/component.yaml')
+        'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, submit_spark_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_spark_job/sample.ipynb b/components/gcp/dataproc/submit_spark_job/sample.ipynb
@@ -99,7 +99,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_spark_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -77,7 +77,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_sparksql_job/component.yaml')
+    dataproc_submit_sparksql_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.dataproc, submit_sparksql_job,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/dataproc/submit_sparksql_job/sample.ipynb b/components/gcp/dataproc/submit_sparksql_job/sample.ipynb
@@ -81,7 +81,7 @@
     "import kfp.components as comp\n",
     "\n",
     "dataproc_submit_sparksql_job_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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
@@ -94,7 +94,7 @@ 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/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/ml_engine/batch_predict/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/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:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.ml_engine, batch_predict,
       --project_id, {inputValue: project_id},

diff --git a/components/gcp/ml_engine/batch_predict/sample.ipynb b/components/gcp/ml_engine/batch_predict/sample.ipynb
@@ -112,7 +112,7 @@
     "import kfp.components as comp\n",
     "\n",
     "mlengine_batch_predict_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/ml_engine/batch_predict/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/components/gcp/ml_engine/batch_predict/component.yaml')\n",
     "help(mlengine_batch_predict_op)"
    ]
   },

diff --git a/components/gcp/ml_engine/deploy/README.md b/components/gcp/ml_engine/deploy/README.md
@@ -110,7 +110,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
 import kfp.components as comp
 
 mlengine_deploy_op = comp.load_component_from_url(
-    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/ml_engine/deploy/component.yaml')
+    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/components/gcp/ml_engine/deploy/component.yaml')
 help(mlengine_deploy_op)
 ```
 

diff --git a/components/gcp/ml_engine/deploy/component.yaml b/components/gcp/ml_engine/deploy/component.yaml
@@ -95,7 +95,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.ml_engine, deploy,
       --model_uri, {inputValue: model_uri},

diff --git a/components/gcp/ml_engine/deploy/sample.ipynb b/components/gcp/ml_engine/deploy/sample.ipynb
@@ -128,7 +128,7 @@
     "import kfp.components as comp\n",
     "\n",
     "mlengine_deploy_op = comp.load_component_from_url(\n",
-    "    'https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/ml_engine/deploy/component.yaml')\n",
+    "    'https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/components/gcp/ml_engine/deploy/component.yaml')\n",
     "help(mlengine_deploy_op)"
    ]
   },

diff --git a/components/gcp/ml_engine/train/README.md b/components/gcp/ml_engine/train/README.md
@@ -104,7 +104,7 @@ The steps to use the component in a pipeline are:
     ```python
     import kfp.components as comp
 
-    mlengine_train_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/4e7e6e866c1256e641b0c3effc55438e6e4b30f6/components/gcp/ml_engine/train/component.yaml')
+    mlengine_train_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/a8d3b6977df26a89701cd229f01c1840a8475521/components/gcp/ml_engine/train/component.yaml')
     help(mlengine_train_op)
     ```
 ### Sample

diff --git a/components/gcp/ml_engine/train/component.yaml b/components/gcp/ml_engine/train/component.yaml
@@ -103,7 +103,7 @@ outputs:
     type: UI metadata
 implementation:
   container:
-    image: gcr.io/ml-pipeline/ml-pipeline-gcp:9ad7d7dd9776ce75a83712f5723db2ef93ba5c26
+    image: gcr.io/ml-pipeline/ml-pipeline-gcp:b63472062bd80737c7f39e0eda901db0fe23a5e0
     args: [
       kfp_component.google.ml_engine, train,
       --project_id, {inputValue: project_id},