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.repo-metadata.json
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.repo-metadata.json
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{
"name": "bigtable",
"name_pretty": "Cloud Bigtable",
"product_documentation": "https://cloud.google.com/bigtable",
"client_documentation": "https://googleapis.dev/python/bigtable/latest",
"issue_tracker": "https://issuetracker.google.com/savedsearches/559777",
"release_level": "ga",
"language": "python",
"repo": "googleapis/python-bigtable",
"distribution_name": "google-cloud-bigtable",
"api_id": "bigtable.googleapis.com",
"requires_billing": true,
"samples": [
{"name": "Hello World in Cloud Bigtable",
"description": "Demonstrates how to connect to Cloud Bigtable and run some basic operations. More information available at: https://cloud.google.com/bigtable/docs/samples-python-hello",
"file": "main.py",
"runnable": true,
"custom_content": "<pre>usage: main.py [-h] [--table TABLE] project_id instance_id<br>Demonstrates how to connect to Cloud Bigtable and run some basic operations.<br>Prerequisites: - Create a Cloud Bigtable cluster.<br>https://cloud.google.com/bigtable/docs/creating-cluster - Set your Google<br>Application Default Credentials.<br>https://developers.google.com/identity/protocols/application-default-<br>credentials<br><br><br>positional arguments:<br> project_id Your Cloud Platform project ID.<br> instance_id ID of the Cloud Bigtable instance to connect to.<br><br><br>optional arguments:<br> -h, --help show this help message and exit<br> --table TABLE Table to create and destroy. (default: Hello-Bigtable)</pre>",
"override_path": "hello"},
{"name": "Hello World using HappyBase",
"description": "This sample demonstrates using the Google Cloud Client Library HappyBase package, an implementation of the HappyBase API to connect to and interact with Cloud Bigtable. More information available at: https://cloud.google.com/bigtable/docs/samples-python-hello-happybase",
"file": "main.py",
"runnable": true,
"custom_content": "<pre>usage: main.py [-h] [--table TABLE] project_id instance_id<br>Demonstrates how to connect to Cloud Bigtable and run some basic operations.<br>Prerequisites: - Create a Cloud Bigtable cluster.<br>https://cloud.google.com/bigtable/docs/creating-cluster - Set your Google<br>Application Default Credentials.<br>https://developers.google.com/identity/protocols/application-default-<br>credentials<br><br><br>positional arguments:<br> project_id Your Cloud Platform project ID.<br> instance_id ID of the Cloud Bigtable instance to connect to.<br><br><br>optional arguments:<br> -h, --help show this help message and exit<br> --table TABLE Table to create and destroy. (default: Hello-Bigtable)</pre>",
"override_path": "hello_happybase"},
{"name": "cbt Command Demonstration",
"description": "This page explains how to use the cbt command to connect to a Cloud Bigtable instance, perform basic administrative tasks, and read and write data in a table. More information about this quickstart is available at https://cloud.google.com/bigtable/docs/quickstart-cbt",
"file": "instanceadmin.py",
"runnable": true,
"custom_content" : "<pre>usage: instanceadmin.py [-h] [run] [dev-instance] [del-instance] [add-cluster] [del-cluster] project_id instance_id cluster_id<br>Demonstrates how to connect to Cloud Bigtable and run some basic operations.<br>Prerequisites: - Create a Cloud Bigtable cluster.<br>https://cloud.google.com/bigtable/docs/creating-cluster - Set your Google<br>Application Default Credentials.<br>https://developers.google.com/identity/protocols/application-default-<br>credentials<br><br><br>positional arguments:<br> project_id Your Cloud Platform project ID.<br> instance_id ID of the Cloud Bigtable instance to connect to.<br><br><br>optional arguments:<br> -h, --help show this help message and exit<br> --table TABLE Table to create and destroy. (default: Hello-Bigtable)</pre>",
"override_path": "instanceadmin"},
{"name": "Metric Scaler",
"description": "This sample demonstrates how to use Stackdriver Monitoring to scale Cloud Bigtable based on CPU usage.",
"file": "metricscaler.py",
"runnable": true,
"custom_content": "<pre>usage: metricscaler.py [-h] [--high_cpu_threshold HIGH_CPU_THRESHOLD] [--low_cpu_threshold LOW_CPU_THRESHOLD] [--short_sleep SHORT_SLEEP] [--long_sleep LONG_SLEEP] bigtable_instance bigtable_cluster<br>usage: metricscaler.py [-h] [--high_cpu_threshold HIGH_CPU_THRESHOLD] <br> [--low_cpu_threshold LOW_CPU_THRESHOLD] <br> [--short_sleep SHORT_SLEEP] [--long_sleep LONG_SLEEP] <br> bigtable_instance bigtable_cluster <br><br> <br>Scales Cloud Bigtable clusters based on CPU usage. <br><br> <br>positional arguments: <br> bigtable_instance ID of the Cloud Bigtable instance to connect to. <br> bigtable_cluster ID of the Cloud Bigtable cluster to connect to. <br><br> <br>optional arguments: <br> -h, --help show this help message and exit <br> --high_cpu_threshold HIGH_CPU_THRESHOLD <br> If Cloud Bigtable CPU usage is above this threshold, <br> scale up <br> --low_cpu_threshold LOW_CPU_THRESHOLD <br> If Cloud Bigtable CPU usage is below this threshold, <br> scale down <br> --short_sleep SHORT_SLEEP <br> How long to sleep in seconds between checking metrics <br> after no scale operation <br> --long_sleep LONG_SLEEP <br> How long to sleep in seconds between checking metrics <br> after a scaling operation</pre>",
"override_path": "metricscaler"},
{"name": "Quickstart",
"description": "Demonstrates of Cloud Bigtable. This sample creates a Bigtable client, connects to an instance and then to a table, then closes the connection.",
"file": "main.py",
"runnable": true,
"custom_content": "<pre>usage: main.py [-h] [--table TABLE] project_id instance_id<br>usage: main.py [-h] [--table TABLE] project_id instance_id <br><br> <br>positional arguments: <br> project_id Your Cloud Platform project ID. <br> instance_id ID of the Cloud Bigtable instance to connect to. <br><br> <br>optional arguments: <br> -h, --help show this help message and exit <br> --table TABLE Existing table used in the quickstart. (default: my-table)</pre>",
"override_path": "quickstart"},
{"name": "Quickstart using HappyBase",
"description": "Demonstrates of Cloud Bigtable using HappyBase. This sample creates a Bigtable client, connects to an instance and then to a table, then closes the connection.",
"file": "main.py",
"runnable": true,
"custom_content": "<pre>usage: main.py [-h] [--table TABLE] project_id instance_id<br>usage: main.py [-h] [--table TABLE] project_id instance_id <br><br> <br>positional arguments: <br> project_id Your Cloud Platform project ID. <br> instance_id ID of the Cloud Bigtable instance to connect to. <br><br> <br>optional arguments: <br> -h, --help show this help message and exit <br> --table TABLE Existing table used in the quickstart. (default: my-table)</code",
"override_path": "quickstart_happybase"},
{"name": "Snippets",
"description": "This folder contains snippets for Python Cloud Bigtable.",
"override_path": "snippets"},
{"name": "Table Admin",
"description": "Demonstrates how to connect to Cloud Bigtable and run some basic operations.",
"file": "tableadmin.py",
"runnable": true,
"custom_content": "<pre>usage: tableadmin.py [-h] [run] [delete] [--table TABLE] project_id instance_id<br>usage: tableadmin.py [-h] [run] [delete] [--table TABLE] project_id instance_id <br><br> <br>Demonstrates how to connect to Cloud Bigtable and run some basic operations. <br>Prerequisites: - Create a Cloud Bigtable cluster. <br>https://cloud.google.com/bigtable/docs/creating-cluster - Set your Google <br>Application Default Credentials. <br>https://developers.google.com/identity/protocols/application-default- <br>credentials <br><br> <br>positional arguments: <br> project_id Your Cloud Platform project ID. <br> instance_id ID of the Cloud Bigtable instance to connect to. <br><br> <br>optional arguments: <br> -h, --help show this help message and exit <br> --table TABLE Table to create and destroy. (default: Hello-Bigtable)</pre>",
"override_path": "tableadmin"}
]
}