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google-cloud-datastore | based Java and Python client libraries | Database library

 by   GoogleCloudPlatform Java Version: python-5.0.0-beta License: Apache-2.0

 by   GoogleCloudPlatform Java Version: python-5.0.0-beta License: Apache-2.0

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kandi X-RAY | google-cloud-datastore Summary

google-cloud-datastore is a Java library typically used in Database applications. google-cloud-datastore has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However google-cloud-datastore build file is not available. You can download it from GitHub, Maven.
Note: This repository contains low-level Java and Python client libraries for Google Cloud Datastore. For more idiomatic and usable client libraries in these languages, please visit the Google Cloud Client Libraries for Java and Google Cloud Client Libraries for Python repositories. You can also find the full list of supported client libraries in a variety of languages on the Client Libraries page of Cloud Datastore. Cloud Datastore is a highly-scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database that scales automatically to handle your applications' load. Cloud Datastore provides a myriad of capabilities such as ACID transactions, SQL-like queries, indexes and much more. For more information, see the Cloud Datastore documentation. This repository contains clients that are deliberately low-level and map directly to the underlying Datastore RPC model. They're designed to provide more flexibility to developers and higher level library implementers.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • google-cloud-datastore has a highly active ecosystem.
  • It has 203 star(s) with 134 fork(s). There are 96 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 49 open issues and 124 have been closed. On average issues are closed in 762 days. There are no pull requests.
  • It has a positive sentiment in the developer community.
  • The latest version of google-cloud-datastore is python-5.0.0-beta
This Library - Support
Best in #Database
Average in #Database
This Library - Support
Best in #Database
Average in #Database

quality kandi Quality

  • google-cloud-datastore has 0 bugs and 0 code smells.
This Library - Quality
Best in #Database
Average in #Database
This Library - Quality
Best in #Database
Average in #Database

securitySecurity

  • google-cloud-datastore has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • google-cloud-datastore code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
This Library - Security
Best in #Database
Average in #Database
This Library - Security
Best in #Database
Average in #Database

license License

  • google-cloud-datastore is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
This Library - License
Best in #Database
Average in #Database
This Library - License
Best in #Database
Average in #Database

buildReuse

  • google-cloud-datastore releases are available to install and integrate.
  • Deployable package is available in Maven.
  • google-cloud-datastore has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • It has 3710 lines of code, 304 functions and 34 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
This Library - Reuse
Best in #Database
Average in #Database
This Library - Reuse
Best in #Database
Average in #Database
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google-cloud-datastore Key Features

Python Proto Client Library and Samples

Java Proto Client Library and Samples

RPC API Reference

google-cloud-datastore Examples and Code Snippets

See all related Code Snippets

Client Libraries

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pip install googledatastore

How to get rid of call to CallCredentials2 in grpc api

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  <plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-enforcer-plugin</artifactId>
    <version>1.4.1</version>
    <executions>
      <execution>
        <id>enforce</id>
        <goals>
          <goal>enforce</goal>
        </goals>
        <configuration>
          <rules>
            <requireUpperBoundDeps/>
          </rules>
        </configuration>
      </execution>
    </executions>
  </plugin>
$ mvn dependency:tree
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.42.1:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.42.1:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-auth:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-core:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.40.1:compile
...
<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>24.0.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>
<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-datastore</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-storage</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-dataproc</artifactId>
  </dependency>
  <dependency><!-- not part of the BOM -->
    <groupId>com.google.api-client</groupId>
    <artifactId>google-api-client</artifactId>
    <version>1.32.2</version>
  </dependency>
</dependencies>
$ mvn dependency:tree
...
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.1.3:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.41.0:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.2:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-auth:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-core:jar:1.41.0:runtime
...
  <plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-enforcer-plugin</artifactId>
    <version>1.4.1</version>
    <executions>
      <execution>
        <id>enforce</id>
        <goals>
          <goal>enforce</goal>
        </goals>
        <configuration>
          <rules>
            <requireUpperBoundDeps/>
          </rules>
        </configuration>
      </execution>
    </executions>
  </plugin>
$ mvn dependency:tree
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.42.1:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.42.1:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-auth:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-core:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.40.1:compile
...
<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>24.0.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>
<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-datastore</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-storage</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-dataproc</artifactId>
  </dependency>
  <dependency><!-- not part of the BOM -->
    <groupId>com.google.api-client</groupId>
    <artifactId>google-api-client</artifactId>
    <version>1.32.2</version>
  </dependency>
</dependencies>
$ mvn dependency:tree
...
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.1.3:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.41.0:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.2:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-auth:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-core:jar:1.41.0:runtime
...
  <plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-enforcer-plugin</artifactId>
    <version>1.4.1</version>
    <executions>
      <execution>
        <id>enforce</id>
        <goals>
          <goal>enforce</goal>
        </goals>
        <configuration>
          <rules>
            <requireUpperBoundDeps/>
          </rules>
        </configuration>
      </execution>
    </executions>
  </plugin>
$ mvn dependency:tree
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.42.1:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.42.1:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-auth:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-core:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.40.1:compile
...
<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>24.0.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>
<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-datastore</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-storage</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-dataproc</artifactId>
  </dependency>
  <dependency><!-- not part of the BOM -->
    <groupId>com.google.api-client</groupId>
    <artifactId>google-api-client</artifactId>
    <version>1.32.2</version>
  </dependency>
</dependencies>
$ mvn dependency:tree
...
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.1.3:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.41.0:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.2:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-auth:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-core:jar:1.41.0:runtime
...
  <plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-enforcer-plugin</artifactId>
    <version>1.4.1</version>
    <executions>
      <execution>
        <id>enforce</id>
        <goals>
          <goal>enforce</goal>
        </goals>
        <configuration>
          <rules>
            <requireUpperBoundDeps/>
          </rules>
        </configuration>
      </execution>
    </executions>
  </plugin>
$ mvn dependency:tree
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.42.1:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.42.1:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.0:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-auth:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-core:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.40.1:compile
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.40.1:compile
...
<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>24.0.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>
<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-datastore</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-storage</artifactId>
  </dependency>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-dataproc</artifactId>
  </dependency>
  <dependency><!-- not part of the BOM -->
    <groupId>com.google.api-client</groupId>
    <artifactId>google-api-client</artifactId>
    <version>1.32.2</version>
  </dependency>
</dependencies>
$ mvn dependency:tree
...
[INFO] +- com.google.cloud:google-cloud-datastore:jar:2.1.3:compile
[INFO] |  +- io.grpc:grpc-api:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-context:jar:1.41.0:compile
...
[INFO] +- com.google.cloud:google-cloud-dataproc:jar:2.2.2:compile
[INFO] |  +- io.grpc:grpc-stub:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-protobuf-lite:jar:1.41.0:compile
[INFO] |  +- io.grpc:grpc-alts:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-grpclb:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-auth:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-netty-shaded:jar:1.41.0:runtime
[INFO] |  +- io.grpc:grpc-core:jar:1.41.0:runtime
...

creating dataproc cluster with multiple jars

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--properties=^#^spark:spark.jars.packages=artifact1,artifact2,artifact3#spark:spark.driver.memory=3000m

Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas

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# https://www.kaggle.com/new-york-state/nys-nyc-transit-subway-entrance-and-exit-data
import kaggle.cli
import sys, requests, urllib
import pandas as pd
from pathlib import Path
from zipfile import ZipFile

# fmt: off
# download data set
url = "https://www.kaggle.com/new-york-state/nys-nyc-transit-subway-entrance-and-exit-data"
sys.argv = [sys.argv[0]] + f"datasets download {urllib.parse.urlparse(url).path[1:]}".split(" ")
kaggle.cli.main()
zfile = ZipFile(f'{urllib.parse.urlparse(url).path.split("/")[-1]}.zip')
dfs = {f.filename: pd.read_csv(zfile.open(f)) for f in zfile.infolist() if Path(f.filename).suffix in [".csv"]}
# fmt: on

df_subway = dfs['nyc-transit-subway-entrance-and-exit-data.csv']

from shapely.geometry import Point, MultiPoint
from shapely.ops import nearest_points
import geopandas as gpd

geometry = [Point(xy) for xy in zip(df_subway['Station Longitude'], df_subway['Station Latitude'])]

# Coordinate reference system :
crs = {'init': 'EPSG:4326'}

# Creating a Geographic data frame 
gdf_subway_entrance_geometry = gpd.GeoDataFrame(df_subway, crs=crs, geometry=geometry).to_crs('EPSG:5234')
gdf_subway_entrance_geometry

df_yes_entry = gdf_subway_entrance_geometry
df_yes_entry = gdf_subway_entrance_geometry[gdf_subway_entrance_geometry.Entry=='YES']
df_yes_entry

# randomly select a point....
gpdPoint = gdf_subway_entrance_geometry.sample(1).geometry.tolist()[0]
pts = MultiPoint(df_yes_entry['geometry'].values) # does not work with a geopandas series, works with a numpy array
pt = Point(gpdPoint.x, gpdPoint.y)
#[o.wkt for o in nearest_points(pt, pts)]
for o in nearest_points(pt, pts):
  print(o)

ContextualVersionConflict using BigQuery in AI-Platform-Notebooks

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import pandas

sql = """
    SELECT name
    FROM `bigquery-public-data.usa_names.usa_1910_current`
    WHERE state = 'TX'
    LIMIT 100
"""

# Run a Standard SQL query using the environment's default project
df = pandas.read_gbq(sql, dialect='standard')

# Run a Standard SQL query with the project set explicitly
project_id = 'your-project-id'
df = pandas.read_gbq(sql, project_id=project_id, dialect='standard')
google-api-core           1.22.4             pyh9f0ad1d_0    conda-forge 
google-api-core-grpcio-gcp 1.22.2               hc8dfbb8_0    conda-forge 

Once deployed my app reports - Cannot import name 'vision' from 'google.cloud'

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Flask~=1.1.2
google-api-core==1.22.4
google-auth==1.23.0
google-cloud-core==1.4.3
google-cloud-datastore==2.0.0
google-cloud-logging==2.0.0
google-cloud-storage==1.33.0
google-cloud-vision==2.0.0
google-crc32c==1.0.0
google-resumable-media==1.1.0
requests==2.25.0
grpcio==1.34.0

What's the equivalent of appengine:run for the Java 11 Cloud SDK?

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ERROR: (gcloud.beta.emulators.datastore.env-init)
Unable to find env.yaml in the data_dir 
[/tmp/tmp.zolNZC8fnr/emulators/datastore]. 
Please ensure you have started the appropriate emulator.
Storage: /tmp/tmp.sxkNeaNHxo/emulators/datastore/WEB-INF/appengine-generated/local_db.bin
$(gcloud beta emulators datastore env-init --data-dir=/tmp/tmp.sxkNeaNHxo/emulators/datastore)
ERROR: (gcloud.beta.emulators.datastore.env-init)
Unable to find env.yaml in the data_dir 
[/tmp/tmp.zolNZC8fnr/emulators/datastore]. 
Please ensure you have started the appropriate emulator.
Storage: /tmp/tmp.sxkNeaNHxo/emulators/datastore/WEB-INF/appengine-generated/local_db.bin
$(gcloud beta emulators datastore env-init --data-dir=/tmp/tmp.sxkNeaNHxo/emulators/datastore)
ERROR: (gcloud.beta.emulators.datastore.env-init)
Unable to find env.yaml in the data_dir 
[/tmp/tmp.zolNZC8fnr/emulators/datastore]. 
Please ensure you have started the appropriate emulator.
Storage: /tmp/tmp.sxkNeaNHxo/emulators/datastore/WEB-INF/appengine-generated/local_db.bin
$(gcloud beta emulators datastore env-init --data-dir=/tmp/tmp.sxkNeaNHxo/emulators/datastore)

Error while running python test from Build Pipeline - TypeError: __init__() got an unexpected keyword argument 'client_options'

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google-cloud-core==1.3.0
google-cloud-datastore==1.14.0
google-cloud-core==1.4.1
google-cloud-datastore==1.15.0
google-cloud-core==1.3.0
google-cloud-datastore==1.14.0
google-cloud-core==1.4.1
google-cloud-datastore==1.15.0

How to fix AttributeError in App Engine Flex when using grpc and cloud-datastore?

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google-api-core==1.17.0

How should I investigate a memory leak when using Google Cloud Datastore Python libraries?

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from google.cloud import datastore
from google.oauth2 import service_account

def test_datastore(client, entity_type: str) -> list:
    query = client.query(kind=entity_type, namespace="my-namespace")
    query.keys_only()
    for result in query.fetch(1):
        print(f"[+] Got a result: {result}")

creds = service_account.Credentials.from_service_account_file("/path/to/creds")
client = datastore.Client(credentials=creds, project="my-project")

for n in range(0,100):
    test_datastore(client, "my-entity-type")

Google Cloud Datastore - get after insert in one request

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txn.put(builder.builder());

See all related Code Snippets

Community Discussions

Trending Discussions on google-cloud-datastore
  • How to get the location/region of an Datastore instance
  • How to get rid of call to CallCredentials2 in grpc api
  • creating dataproc cluster with multiple jars
  • Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
  • what kind of bigtable replication do my datastore entities use?
  • Not able to access Datastore Resources from GKE
  • ContextualVersionConflict using BigQuery in AI-Platform-Notebooks
  • Once deployed my app reports - Cannot import name 'vision' from 'google.cloud'
  • What's the equivalent of appengine:run for the Java 11 Cloud SDK?
  • Cloud Build fails to build App Engine Python 3.8 app (due to pip bug?)
Trending Discussions on google-cloud-datastore

QUESTION

How to get the location/region of an Datastore instance

Asked 2021-Dec-24 at 00:46

To call the Datastore.export() API I need to provide a GCS bucket name in the same region as the Datastore I'm exporting.

I checked with node.js' @google-cloud/datastore Datastore instances seem to have no .location property or something similar. Also, the Google provided Datastore libraries in other languages seem to lack this functionality.

With other Google APIs you usually have a way to get the Location of the resource. E.g. in GCS: Storage().bucket('mybucket').getMetadata().location -> 'EU'.

How to view Google Cloud Datastore Region shows to get this information in a manual way, but I'm after programmatic access.

ANSWER

Answered 2021-Dec-24 at 00:46

Firestore has a database get method (in preview as of 2021-12-23), that you can use to lookup the location of your database. This API will also tell you the mode of your database (Firestore native vs Datastore mode).

Source https://stackoverflow.com/questions/70461019

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For more information, see the Cloud Datastore documentation.

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