- System requirements
- About datastore-indexes.xml
- Using automatic index configuration
- Manual index configuration
- Updating indexes
- Deleting unused indexes
- Passwordless login with OAuth2
- Command-line arguments
To use the
gcd tool, you must
have Java 7 installed
on your computer.
You specify configuration for datastore indexes in
WEB-INF/datastore-indexes.xml, in your dataset directory. This is an XML file whose root element is
<datastore-indexes>. It contains zero or more
<datastore-index> elements, one for each index that the Datastore should maintain.
As described on the Datastore Indexes page, an index is a table of values for a set of given properties for entities of a given kind. Each column of property values is sorted either in ascending or descending order. Configuration for an index specifies the kind of the entities, and the names of the properties and their sort orders.
Here is an example that specifies two indexes:
<?xml version="1.0" encoding="utf-8"?> <datastore-indexes autoGenerate="true"> <datastore-index kind="Employee" ancestor="false"> <property name="lastName" direction="asc" /> <property name="hireDate" direction="desc" /> </datastore-index> <datastore-index kind="Project" ancestor="false"> <property name="dueDate" direction="asc" /> <property name="cost" direction="desc" /> </datastore-index> </datastore-indexes>
<datastore-indexes> element has an
autoGenerate attribute that controls whether this file should be considered along with automatically generated index configuration. See Using Automatic Index Configuration below.
<datastore-index> element represents an index. The
kind attribute specifies the kind of the entities to index. The
ancestor attribute is
true if the index supports queries that filter by ancestor-key to constrain results to a single entity group,
<property> elements in a
<datastore-index> represent the entity properties to index. The
name attribute is the property name, and the
direction attribute is the sort order, either
asc for ascending or
desc for descending. The order of the property elements specifies the order in the index: rows are sorted by the first property, then the second property, and so on.
Using automatic index configuration
Determining the indexes required by your application's queries manually can be tedious and error-prone. Thankfully, the development server can determine the index configuration for you. To use automatic index configuration, add the attribute
autoGenerate="true" to your
<datastore-indexes> element. Automatic index configuration is also used if your dataset does not have a
With automatic index configuration enabled, the development server maintains a file named
WEB-INF/appengine-generated/datastore-indexes-auto.xml in your dataset directory. When your app, running against the development server, attempts a datastore query for which there is no corresponding index in either
datastore-indexes-auto.xml, the server adds the appropriate configuration to
If automatic index configuration is enabled when you update your production indexes (see Updating Indexes), the tool uses both
datastore-indexes-auto.xml to determine which indexes need to be built for your dataset in production.
autoGenerate="false" is in your
datastore-indexes.xml, the development server and the command line tool that updates your indexes in production (see Updating Indexes) ignore the contents of
datastore-indexes-auto.xml. If the app running locally performs a query whose index is not specified in
datastore-indexes.xml, the development server throws an exception, just as the production Datastore would.
It's a good idea to occasionally move index configuration from
datastore-indexes.xml, then disable automatic index configuration and test your app against the development server. This makes it easy to maintain indexes without having to manage two files, and ensures that your testing will reproduce errors caused by missing index configuration.
Manual index configuration
The legacy App Engine Datastore viewer allows you to interactively query the
Datastore using a query language called GQL. These interactive queries will
succeed if your dataset has the necessary index to fulfill the query and fail
with an error containing the xml definition of the missing index if it does not.
By translating your Google Cloud Datastore queries to GQL you can use
interactive queries and the detailed error messages they return to determine
which indexes need to be added to your dataset's
provides a superset of the query functionality available in the Google Cloud
Datastore query API so this translation should always be possible.
To run a GQL query using the legacy App Engine Datastore viewer:
- Go to the Google Developers Console.
- In the list of projects, locate the project for your dataset (the project ID will match your dataset ID).
- Click your dataset to make it active for administration.
- Click the App Engine icon to display the legacy Admin Console.
- Click the Datastore Viewer link on the left-hand side of the page.
- Click the +Options link to open up the interactive query form.
- Type your query in the form and click Run Query.
- If the query succeeds, no further action is necessary, you have the indexes you need for that query.
- If the query fails, copy the xml index definition contained in the error
message and add it to your
Google Cloud Datastore provides the
gcd command line tool for updating the
indexes that are available to your production dataset. This tool looks at your
dataset index configuration (the
appengine-generated/datastore-indexes-auto.xml files), and if the index configuration
defines an index that doesn't exist yet in your production dataset, the
Datastore creates the new index.
gcd-v1beta2-rev1-3.0.0/gcd.sh updateindexes [options] <dataset-directory>
where options are command line arguments supplied to the
Depending on how much data is already in the Datastore that belongs in the new index, the process of creating the index may take a while. If the app performs a query that requires an index that hasn't finished building yet, the query will raise an exception. To prevent this, you must be careful about deploying a new version of your app that requires a new index before the new index finishes building.
You can check the status of the dataset's indexes from the Indexes section of the Datastore console for your project in the Developers Console.
Deleting unused indexes
When you change or remove an index from the index configuration, the original index is not deleted from the Datastore automatically. This gives you the opportunity to leave an older version of the app running while new indexes are being built, or to revert to the older version immediately if a problem is discovered with a newer version.
When you are sure that old indexes are no longer needed, you can delete them
from the Datastore using the
vacuumindexes action. The command to vacuum
indexes is as follows:
gcd-v1beta2-rev1-3.0.0/gcd.sh vacuumindexes [options] <dataset-directory>
where options are command line arguments supplied to the
This command deletes all indexes for the dataset that are not mentioned in the
local versions of
Passwordless login with OAuth2
If you don't want to enter your login credentials, you can use an OAuth 2.0 token instead. This token gives access to the Datastore, but not to other parts of your Google account; if your Google account uses two-factor authentication, you'll find this especially convenient. You can store this token to permanently log in on this machine.
To set this up, set the
--auth_mode option to
gcd-v1beta2-rev1-3.0.0/gcd.sh updateindexes --auth_mode=oauth2 <dataset-directory>
A page will appear in your web browser prompting you for authorization. If no
browser could be started, then
gcd will instead show you a URL to copy/paste
into your browser. Log in if necessary. The page will ask whether you wish to
give the Datastore access. Click OK, then you will be given a token that you
will need to supply to the prompt from
From now on, when you use the
--auth_mode=oauth2 option it uses the saved
gcd tool accepts the following options for index management:
- Dataset ID to use instead of the one in the project directory. If your local dataset ID and the Cloud Datastore project ID don't match, you need to use this option in order to update indexes in the Cloud Datastore project.
- Authentication mode for connecting to Cloud Datastore.
oauth2will take you through an OAuth2 flow using a web browser.
passwordwill prompt you for a password on the command line.
- Force deletion of indexes without being prompted (For