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Release 0.2.5 - e66dcb18607406330f953bf99b04fe7c3ed1a4a8 #3179

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merged 5 commits into from
Feb 27, 2020
Merged

Release 0.2.5 - e66dcb18607406330f953bf99b04fe7c3ed1a4a8 #3179

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3f4b801
Updated component images to version e66dcb18607406330f953bf99b04fe7c3…
Bobgy Feb 27, 2020
2a45464
Updated components to version 3f4b80127f35e40760eeb1813ce1d3f641502222
Bobgy Feb 27, 2020
302e95c
Update setup.py
Bobgy Feb 27, 2020
ddfa015
Fix swagger codegen download url
Bobgy Feb 27, 2020
49862ed
Update versions
Bobgy Feb 27, 2020
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3 changes: 2 additions & 1 deletion backend/api/build_kfp_server_api_python_package.sh
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Expand Up @@ -35,7 +35,8 @@ if [ -z "$VERSION" ]; then
fi

codegen_file=/tmp/swagger-codegen-cli.jar
codegen_uri=http://central.maven.org/maven2/io/swagger/swagger-codegen-cli/2.4.7/swagger-codegen-cli-2.4.7.jar
# Browse all versions in: https://repo1.maven.org/maven2/io/swagger/swagger-codegen-cli/2.4.7/
codegen_uri=https://repo1.maven.org/maven2/io/swagger/swagger-codegen-cli/2.4.7/swagger-codegen-cli-2.4.7.jar
if ! [ -f "$codegen_file" ]; then
wget --no-verbose "$codegen_uri" -O "$codegen_file"
fi
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2 changes: 1 addition & 1 deletion components/gcp/bigquery/query/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/bigquery/query/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/bigquery/query/component.yaml')
help(bigquery_query_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/bigquery/query/component.yaml
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Expand Up @@ -59,7 +59,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.bigquery, query,
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2 changes: 1 addition & 1 deletion components/gcp/bigquery/query/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/bigquery/query/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/bigquery/query/component.yaml')\n",
"help(bigquery_query_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/container/component_sdk/python/setup.py
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Expand Up @@ -15,7 +15,7 @@
from setuptools import setup

PACKAGE_NAME = 'kfp-component'
VERSION = '0.1.40'
VERSION = '0.2.5'

setup(
name=PACKAGE_NAME,
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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_python/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataflow/launch_python/component.yaml')
dataflow_python_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataflow/launch_python/component.yaml')
help(dataflow_python_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_python/component.yaml
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Expand Up @@ -53,7 +53,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataflow, launch_python,
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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_python/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataflow/launch_python/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataflow/launch_python/component.yaml')\n",
"help(dataflow_python_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_template/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataflow/launch_template/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataflow/launch_template/component.yaml')
help(dataflow_template_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_template/component.yaml
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Expand Up @@ -63,7 +63,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataflow, launch_template,
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2 changes: 1 addition & 1 deletion components/gcp/dataflow/launch_template/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataflow/launch_template/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataflow/launch_template/component.yaml')\n",
"help(dataflow_template_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/create_cluster/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/create_cluster/component.yaml')
dataproc_create_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/create_cluster/component.yaml')
help(dataproc_create_cluster_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/create_cluster/component.yaml
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Expand Up @@ -70,7 +70,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, create_cluster,
Expand Down
2 changes: 1 addition & 1 deletion components/gcp/dataproc/create_cluster/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/create_cluster/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/create_cluster/component.yaml')\n",
"help(dataproc_create_cluster_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/delete_cluster/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/delete_cluster/component.yaml')
dataproc_delete_cluster_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/delete_cluster/component.yaml')
help(dataproc_delete_cluster_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/delete_cluster/component.yaml
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Expand Up @@ -36,7 +36,7 @@ inputs:
type: Integer
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
kfp_component.google.dataproc, delete_cluster,
--project_id, {inputValue: project_id},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/delete_cluster/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/delete_cluster/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/delete_cluster/component.yaml')\n",
"help(dataproc_delete_cluster_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hadoop_job/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_hadoop_job/component.yaml')
dataproc_submit_hadoop_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_hadoop_job/component.yaml')
help(dataproc_submit_hadoop_job_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hadoop_job/component.yaml
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Expand Up @@ -80,7 +80,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, submit_hadoop_job,
Expand Down
2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hadoop_job/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
"help(dataproc_submit_hadoop_job_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hive_job/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_hive_job/component.yaml')
dataproc_submit_hive_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_hive_job/component.yaml')
help(dataproc_submit_hive_job_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hive_job/component.yaml
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Expand Up @@ -75,7 +75,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, submit_hive_job,
Expand Down
2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_hive_job/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
"help(dataproc_submit_hive_job_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pig_job/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_pig_job/component.yaml')
dataproc_submit_pig_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_pig_job/component.yaml')
help(dataproc_submit_pig_job_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pig_job/component.yaml
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Expand Up @@ -75,7 +75,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, submit_pig_job,
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pig_job/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
"help(dataproc_submit_pig_job_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pyspark_job/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_pyspark_job/component.yaml')
dataproc_submit_pyspark_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_pyspark_job/component.yaml')
help(dataproc_submit_pyspark_job_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pyspark_job/component.yaml
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Expand Up @@ -69,7 +69,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, submit_pyspark_job,
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_pyspark_job/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
"help(dataproc_submit_pyspark_job_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_spark_job/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_spark_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_spark_job/component.yaml')
help(dataproc_submit_spark_job_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_spark_job/component.yaml
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Expand Up @@ -76,7 +76,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, submit_spark_job,
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_spark_job/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
"help(dataproc_submit_spark_job_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_sparksql_job/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_sparksql_job/component.yaml')
dataproc_submit_sparksql_job_op = comp.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_sparksql_job/component.yaml')
help(dataproc_submit_sparksql_job_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_sparksql_job/component.yaml
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Expand Up @@ -75,7 +75,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.dataproc, submit_sparksql_job,
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2 changes: 1 addition & 1 deletion components/gcp/dataproc/submit_sparksql_job/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
"help(dataproc_submit_sparksql_job_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/batch_predict/README.md
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/ml_engine/batch_predict/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/ml_engine/batch_predict/component.yaml')
help(mlengine_batch_predict_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/batch_predict/component.yaml
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Expand Up @@ -69,7 +69,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.ml_engine, batch_predict,
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/batch_predict/sample.ipynb
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Expand Up @@ -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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/ml_engine/batch_predict/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/ml_engine/batch_predict/component.yaml')\n",
"help(mlengine_batch_predict_op)"
]
},
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/deploy/README.md
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Expand Up @@ -104,7 +104,7 @@ 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/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/ml_engine/deploy/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/ml_engine/deploy/component.yaml')
help(mlengine_deploy_op)
```

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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/deploy/component.yaml
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Expand Up @@ -95,7 +95,7 @@ outputs:
type: UI metadata
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:85945e10920757efab999217c836403c024b09e3
image: gcr.io/ml-pipeline/ml-pipeline-gcp:e66dcb18607406330f953bf99b04fe7c3ed1a4a8
args: [
--ui_metadata_path, {outputPath: MLPipeline UI metadata},
kfp_component.google.ml_engine, deploy,
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2 changes: 1 addition & 1 deletion components/gcp/ml_engine/deploy/sample.ipynb
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Expand Up @@ -121,7 +121,7 @@
"import kfp.components as comp\n",
"\n",
"mlengine_deploy_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/0ad0b368802eca8ca73b40fe08adb6d97af6a62f/components/gcp/ml_engine/deploy/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/3f4b80127f35e40760eeb1813ce1d3f641502222/components/gcp/ml_engine/deploy/component.yaml')\n",
"help(mlengine_deploy_op)"
]
},
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