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54
README.md
View file

@ -50,9 +50,9 @@ are limited to four minutes and ten megabytes in size. Furthermore, queries and
indexes that span entity groups are always eventually consistent, which means
they could take seconds, and very rarely, days to update. While most online
services find eventual consistency useful, it is not appropriate for a service
conducting financial exchanges. Therefore Domain Registry has been engineered
to employ performance and complexity tradeoffs that allow strong consistency to
be applied throughout the codebase.
conducting financial exchanges. Therefore Domain Registry has been engineered to
employ performance and complexity tradeoffs that allow strong consistency to be
applied throughout the codebase.
Domain Registry has a commit log system. Commit logs are retained in datastore
for thirty days. They are also streamed to Cloud Storage for backup purposes.
@ -63,8 +63,8 @@ order to do restores. Each EPP resource entity also stores a map of its past
mutations with 24-hour granularity. This makes it possible to have point-in-time
projection queries with effectively no overhead.
The Registry Data Escrow (RDE) system is also built with reliability in mind.
It executes on top of App Engine task queues, which can be double-executed and
The Registry Data Escrow (RDE) system is also built with reliability in mind. It
executes on top of App Engine task queues, which can be double-executed and
therefore require operations to be idempotent. RDE isn't idempotent. To work
around this, RDE uses datastore transactions to achieve mutual exclusion and
serialization. We call this the "Locking Rolling Cursor Pattern." One benefit of
@ -101,7 +101,8 @@ domain availability checks. This service listens on the `/check` path.
* [RFC 3915: EPP Grace Period Mapping](http://tools.ietf.org/html/rfc3915)
* [RFC 5734: EPP Transport over TCP](http://tools.ietf.org/html/rfc5734)
* [RFC 5910: EPP DNSSEC Mapping](http://tools.ietf.org/html/rfc5910)
* [Draft: EPP Launch Phase Mapping (Proposed)](http://tools.ietf.org/html/draft-tan-epp-launchphase-11)
* [Draft: EPP Launch Phase Mapping (Proposed)]
(http://tools.ietf.org/html/draft-tan-epp-launchphase-11)
### Registry Data Escrow (RDE)
@ -114,17 +115,22 @@ This service exists for ICANN regulatory purposes. ICANN needs to know that,
should a registry business ever implode, that they can quickly migrate their
TLDs to a different company so that they'll continue to operate.
* [Draft: Registry Data Escrow Specification](http://tools.ietf.org/html/draft-arias-noguchi-registry-data-escrow-06)
* [Draft: Domain Name Registration Data (DNRD) Objects Mapping](http://tools.ietf.org/html/draft-arias-noguchi-dnrd-objects-mapping-05)
* [Draft: ICANN Registry Interfaces](http://tools.ietf.org/html/draft-lozano-icann-registry-interfaces-05)
* [Draft: Registry Data Escrow Specification]
(http://tools.ietf.org/html/draft-arias-noguchi-registry-data-escrow-06)
* [Draft: Domain Name Registration Data (DNRD) Objects Mapping]
(http://tools.ietf.org/html/draft-arias-noguchi-dnrd-objects-mapping-05)
* [Draft: ICANN Registry Interfaces]
(http://tools.ietf.org/html/draft-lozano-icann-registry-interfaces-05)
### Trademark Clearing House (TMCH)
Domain Registry integrates with ICANN and IBM's MarksDB in order to protect
trademark holders, when new TLDs are being launched.
* [Draft: TMCH Functional Spec](http://tools.ietf.org/html/draft-lozano-tmch-func-spec-08)
* [Draft: Mark and Signed Mark Objects Mapping](https://tools.ietf.org/html/draft-lozano-tmch-smd-02)
* [Draft: TMCH Functional Spec]
(http://tools.ietf.org/html/draft-lozano-tmch-func-spec-08)
* [Draft: Mark and Signed Mark Objects Mapping]
(https://tools.ietf.org/html/draft-lozano-tmch-smd-02)
### WHOIS
@ -134,8 +140,10 @@ internal HTTP endpoint running on `/_dr/whois`. A separate proxy running on port
43 forwards requests to that path. Domain Registry also implements a public HTTP
endpoint that listens on the `/whois` path.
* [RFC 3912: WHOIS Protocol Specification](https://tools.ietf.org/html/rfc3912)
* [RFC 7485: Inventory and Analysis of Registration Objects](http://tools.ietf.org/html/rfc7485)
* [RFC 3912: WHOIS Protocol Specification]
(https://tools.ietf.org/html/rfc3912)
* [RFC 7485: Inventory and Analysis of Registration Objects]
(http://tools.ietf.org/html/rfc7485)
### Registration Data Access Protocol (RDAP)
@ -147,7 +155,8 @@ service available under the `/rdap/...` path.
* [RFC 7481: RDAP Security Services](http://tools.ietf.org/html/rfc7481)
* [RFC 7482: RDAP Query Format](http://tools.ietf.org/html/rfc7482)
* [RFC 7483: RDAP JSON Responses](http://tools.ietf.org/html/rfc7483)
* [RFC 7484: RDAP Finding the Authoritative Registration Data](http://tools.ietf.org/html/rfc7484)
* [RFC 7484: RDAP Finding the Authoritative Registration Data]
(http://tools.ietf.org/html/rfc7484)
### Backups
@ -189,8 +198,10 @@ that uses the [Google Cloud DNS](https://cloud.google.com/dns/) API. A bulk
export tool is also provided to export a zone file for an entire TLD in BIND
format.
* [RFC 1034: Domain Names - Concepts and Facilities](https://www.ietf.org/rfc/rfc1034.txt)
* [RFC 1035: Domain Names - Implementation and Specification](https://www.ietf.org/rfc/rfc1034.txt)
* [RFC 1034: Domain Names - Concepts and Facilities]
(https://www.ietf.org/rfc/rfc1034.txt)
* [RFC 1035: Domain Names - Implementation and Specification]
(https://www.ietf.org/rfc/rfc1034.txt)
### Exports
@ -207,9 +218,8 @@ commands were run and when and by whom, information on failed commands, activity
per registrar, and length of each request.
[BigQuery][bigquery] reporting scripts are provided to generate the required
per-TLD monthly
[registry reports](https://www.icann.org/resources/pages/registry-reports) for
ICANN.
per-TLD monthly [registry reports]
(https://www.icann.org/resources/pages/registry-reports) for ICANN.
### Registrar console
@ -245,9 +255,9 @@ that are out of scope that it will never do.
provide an implementation.
* You will need an invoicing system to convert the internal registry billing
events into registrar invoices using whatever accounts receivable setup you
already have. A partial implementation is provided that generates generic CSV
invoices (see `MakeBillingTablesCommand`), but you will need to integrate it
with your payments system.
already have. A partial implementation is provided that generates generic
CSV invoices (see `MakeBillingTablesCommand`), but you will need to
integrate it with your payments system.
* You will likely need monitoring to continuously monitor the status of the
system. Any of a large variety of tools can be used for this, or you can
write your own.

198
g3doc/app-engine-architecture.md
View file

@ -5,8 +5,8 @@ Registry project as it is implemented in App Engine.
## Services
The Domain Registry contains three
[services](https://cloud.google.com/appengine/docs/python/an-overview-of-app-engine),
The Domain Registry contains three [services]
(https://cloud.google.com/appengine/docs/python/an-overview-of-app-engine),
which were previously called modules in earlier versions of App Engine. The
services are: default (also called front-end), backend, and tools. Each service
runs independently in a lot of ways, including that they can be upgraded
@ -15,9 +15,9 @@ scaling are separate as well.
Once you have your app deployed and running, the default service can be accessed
at `https://project-id.appspot.com`, substituting whatever your App Engine app
is named for "project-id". Note that that is the URL for the production
instance of your app; other environments will have the environment name appended
with a hyphen in the hostname, e.g. `https://project-id-sandbox.appspot.com`.
is named for "project-id". Note that that is the URL for the production instance
of your app; other environments will have the environment name appended with a
hyphen in the hostname, e.g. `https://project-id-sandbox.appspot.com`.
The URL for the backend service is `https://backend-dot-project-id.appspot.com`
and the URL for the tools service is `https://tools-dot-project-id.appspot.com`.
@ -27,8 +27,8 @@ wild-cards).
### Default service
The default service is responsible for all registrar-facing
[EPP](https://en.wikipedia.org/wiki/Extensible_Provisioning_Protocol) command
The default service is responsible for all registrar-facing [EPP]
(https://en.wikipedia.org/wiki/Extensible_Provisioning_Protocol) command
traffic, all user-facing WHOIS and RDAP traffic, and the admin and registrar web
consoles, and is thus the most important service. If the service has any
problems and goes down or stops servicing requests in a timely manner, it will
@ -39,9 +39,9 @@ by the `FrontendServlet`, which provides all of the endpoints exposed in
### Backend service
The backend service is responsible for executing all regularly scheduled
background tasks (using cron) as well as all asynchronous tasks. Requests to
the backend service are handled by the `BackendServlet`, which provides all of
the endpoints exposed in `BackendRequestComponent`. These include tasks for
background tasks (using cron) as well as all asynchronous tasks. Requests to the
backend service are handled by the `BackendServlet`, which provides all of the
endpoints exposed in `BackendRequestComponent`. These include tasks for
generating/exporting RDE, syncing the trademark list from TMDB, exporting
backups, writing out DNS updates, handling asynchronous contact and host
deletions, writing out commit logs, exporting metrics to BigQuery, and many
@ -62,8 +62,8 @@ contact/host deletion).
The tools service is responsible for servicing requests from the `registry_tool`
command line tool, which provides administrative-level functionality for
developers and tech support employees of the registry. It is thus the least
critical of the three services. Requests to the tools service are handled by
the `ToolsServlet`, which provides all of the endpoints exposed in
critical of the three services. Requests to the tools service are handled by the
`ToolsServlet`, which provides all of the endpoints exposed in
`ToolsRequestComponent`. Some example functionality that this service provides
includes the server-side code to update premium lists, run EPP commands from the
tool, and manually modify contacts/hosts/domains/and other resources. Problems
@ -78,11 +78,11 @@ queues. Tasks in push queues are always executing up to some throttlable limit.
Tasks in pull queues remain there indefinitely until the queue is polled by code
that is running for some other reason. Essentially, push queues run their own
tasks while pull queues just enqueue data that is used by something else. Many
other parts of App Engine are implemented using task queues. For example,
[App Engine cron](https://cloud.google.com/appengine/docs/java/config/cron) adds
tasks to push queues at regularly scheduled intervals, and the
[MapReduce framework](https://cloud.google.com/appengine/docs/java/dataprocessing/)
adds tasks for each phase of the MapReduce algorithm.
other parts of App Engine are implemented using task queues. For example, [App
Engine cron](https://cloud.google.com/appengine/docs/java/config/cron) adds
tasks to push queues at regularly scheduled intervals, and the [MapReduce
framework](https://cloud.google.com/appengine/docs/java/dataprocessing/) adds
tasks for each phase of the MapReduce algorithm.
The Domain Registry project uses a particular pattern of paired push/pull queues
that is worth explaining in detail. Push queues are essential because App
@ -90,8 +90,8 @@ Engine's architecture does not support long-running background processes, and so
push queues are thus the fundamental building block that allows asynchronous and
background execution of code that is not in response to incoming web requests.
However, they also have limitations in that they do not allow batch processing
or grouping. That's where the pull queue comes in. Regularly scheduled tasks
in the push queue will, upon execution, poll the corresponding pull queue for a
or grouping. That's where the pull queue comes in. Regularly scheduled tasks in
the push queue will, upon execution, poll the corresponding pull queue for a
specified number of tasks and execute them in a batch. This allows the code to
execute in the background while taking advantage of batch processing.
@ -181,9 +181,9 @@ explicitly marked as otherwise.
## Environments
The domain registry codebase comes pre-configured with support for a number of
different environments, all of which are used in Google's registry system.
Other registry operators may choose to user more or fewer environments,
depending on their needs.
different environments, all of which are used in Google's registry system. Other
registry operators may choose to user more or fewer environments, depending on
their needs.
The different environments are specified in `RegistryEnvironment`. Most
correspond to a separate App Engine app except for `UNITTEST` and `LOCAL`, which
@ -197,13 +197,13 @@ then the sandbox app would be named 'registry-platform-sandbox'.
The full list of environments supported out-of-the-box, in descending order from
real to not, is:
* `PRODUCTION` -- The real production environment that is actually running live
TLDs. Since the Domain Registry is a shared registry platform, there need
only ever be one of these.
* `PRODUCTION` -- The real production environment that is actually running
live TLDs. Since the Domain Registry is a shared registry platform, there
need only ever be one of these.
* `SANDBOX` -- A playground environment for external users to test commands in
without the possibility of affecting production data. This is the environment
new registrars go through
[OT&E](https://www.icann.org/resources/unthemed-pages/registry-agmt-appc-e-2001-04-26-en)
without the possibility of affecting production data. This is the
environment new registrars go through [OT&E]
(https://www.icann.org/resources/unthemed-pages/registry-agmt-appc-e-2001-04-26-en)
in. Sandbox is also useful as a final sanity check to push a new prospective
build to and allow it to "bake" before pushing it to production.
* `QA` -- An internal environment used by business users to play with and sign
@ -221,8 +221,8 @@ real to not, is:
on Alpha because others are already using it).
* `LOCAL` -- A fake environment that is used when running the app locally on a
simulated App Engine instance.
* `UNITTEST` -- A fake environment that is used in unit tests, where everything
in the App Engine stack is simulated or mocked.
* `UNITTEST` -- A fake environment that is used in unit tests, where
everything in the App Engine stack is simulated or mocked.
## Release process
@ -231,8 +231,8 @@ of experience running a production registry using this codebase.
1. Developers write code and associated unit tests verifying that the new code
works properly.
2. New features or potentially risky bug fixes are pushed to Alpha and tested by
the developers before being committed to the source code repository.
2. New features or potentially risky bug fixes are pushed to Alpha and tested
by the developers before being committed to the source code repository.
3. New builds are cut and first pushed to Sandbox.
4. Once a build has been running successfully in Sandbox for a day with no
errors, it can be pushed to Production.
@ -243,8 +243,8 @@ of experience running a production registry using this codebase.
All [cron tasks](https://cloud.google.com/appengine/docs/java/config/cron) are
specified in `cron.xml` files, with one per environment. There are more tasks
that execute in Production than in other environments, because tasks like
uploading RDE dumps are only done for the live system. Cron tasks execute on
the `backend` service.
uploading RDE dumps are only done for the live system. Cron tasks execute on the
`backend` service.
Most cron tasks use the `TldFanoutAction` which is accessed via the
`/_dr/cron/fanout` URL path. This action, which is run by the BackendServlet on
@ -260,18 +260,20 @@ separately for each TLD, such as RDE exports and NORDN uploads. It's simpler to
have a single cron entry that will create tasks for all TLDs than to have to
specify a separate cron task for each action for each TLD (though that is still
an option). Task queues also provide retry semantics in the event of transient
failures that a raw cron task does not. This is why there are some tasks that
do not fan out across TLDs that still use `TldFanoutAction` -- it's so that the
failures that a raw cron task does not. This is why there are some tasks that do
not fan out across TLDs that still use `TldFanoutAction` -- it's so that the
tasks retry in the face of transient errors.
The full list of URL parameters to `TldFanoutAction` that can be specified in
cron.xml is:
* `endpoint` -- The path of the action that should be executed (see `web.xml`).
* `endpoint` -- The path of the action that should be executed (see
`web.xml`).
* `queue` -- The cron queue to enqueue tasks in.
* `forEachRealTld` -- Specifies that the task should be run in each TLD of type
`REAL`. This can be combined with `forEachTestTld`.
* `forEachTestTld` -- Specifies that the task should be run in each TLD of type
`TEST`. This can be combined with `forEachRealTld`.
* `forEachRealTld` -- Specifies that the task should be run in each TLD of
type `REAL`. This can be combined with `forEachTestTld`.
* `forEachTestTld` -- Specifies that the task should be run in each TLD of
type `TEST`. This can be combined with `forEachRealTld`.
* `runInEmpty` -- Specifies that the task should be run globally, i.e. just
once, rather than individually per TLD. This is provided to allow tasks to
retry. It is called "`runInEmpty`" for historical reasons.
@ -281,13 +283,13 @@ cron.xml is:
## Cloud Datastore
The Domain Registry platform uses
[Cloud Datastore](https://cloud.google.com/appengine/docs/java/datastore/) as
its primary database. Cloud Datastore is a NoSQL document database that
provides automatic horizontal scaling, high performance, and high availability.
All information that is persisted to Cloud Datastore takes the form of Java
classes annotated with `@Entity` that are located in the `model` package. The
[Objectify library](https://cloud.google.com/appengine/docs/java/gettingstarted/using-datastore-objectify)
The Domain Registry platform uses [Cloud Datastore]
(https://cloud.google.com/appengine/docs/java/datastore/) as its primary
database. Cloud Datastore is a NoSQL document database that provides automatic
horizontal scaling, high performance, and high availability. All information
that is persisted to Cloud Datastore takes the form of Java classes annotated
with `@Entity` that are located in the `model` package. The [Objectify library]
(https://cloud.google.com/appengine/docs/java/gettingstarted/using-datastore-objectify)
is used to persist instances of these classes in a format that Datastore
understands.
@ -300,8 +302,8 @@ registry codebase:
* `_ah_SESSION` -- These entities track App Engine client sessions.
* `_GAE_MR_*` -- These entities are generated by App Engine while running
MapReduces.
* `BackupStatus` -- There should only be one of these entities, used to maintain
the state of the backup process.
* `BackupStatus` -- There should only be one of these entities, used to
maintain the state of the backup process.
* `Cancellation` -- A cancellation is a special type of billing event which
represents the cancellation of another billing event such as a OneTime or
Recurring.
@ -311,23 +313,24 @@ registry codebase:
* `ContactResource` -- These hold the ICANN contact information (but not
registrar contacts, who have a separate entity type).
* `Cursor` -- We use Cursor entities to maintain state about daily processes,
remembering which dates have been processed. For instance, for the RDE export,
Cursor entities maintain the date up to which each TLD has been exported.
* `DomainApplicationIndex` -- These hold domain applications received during the
sunrise period.
remembering which dates have been processed. For instance, for the RDE
export, Cursor entities maintain the date up to which each TLD has been
exported.
* `DomainApplicationIndex` -- These hold domain applications received during
the sunrise period.
* `DomainBase` -- These hold the ICANN domain information.
* `DomainRecord` -- These are used during the DNS update process.
* `EntityGroupRoot` -- There is only one EntityGroupRoot entity, which serves as
the Datastore parent of many other entities.
* `EppResourceIndex` -- These entities allow enumeration of EPP resources (such
as domains, hosts and contacts), which would otherwise be difficult to do in
Datastore.
* `EntityGroupRoot` -- There is only one EntityGroupRoot entity, which serves
as the Datastore parent of many other entities.
* `EppResourceIndex` -- These entities allow enumeration of EPP resources
(such as domains, hosts and contacts), which would otherwise be difficult to
do in Datastore.
* `ExceptionReportEntity` -- These entities are generated automatically by
ECatcher, a Google-internal logging and debugging tool. Non-Google users
should not encounter these entries.
* `ForeignKeyContactIndex`, `ForeignKeyDomainIndex`, and `ForeignKeyHostIndex`
-- These act as a unique index on contacts, domains and hosts, allowing
transactional lookup by foreign key.
* `ForeignKeyContactIndex`, `ForeignKeyDomainIndex`, and
`ForeignKeyHostIndex` -- These act as a unique index on contacts, domains
and hosts, allowing transactional lookup by foreign key.
* `HistoryEntry` -- A HistoryEntry is the record of a command which mutated an
EPP resource. It serves as the parent of BillingEvents and PollMessages.
* `HostRecord` -- These are used during the DNS update process.
@ -335,23 +338,23 @@ registry codebase:
* `Lock` -- Lock entities are used to control access to a shared resource such
as an App Engine queue. Under ordinary circumstances, these locks will be
cleaned up automatically, and should not accumulate.
* `LogsExportCursor` -- This is a single entity which maintains the state of log
export.
* `MR-*` -- These entities are generated by the App Engine MapReduce library in
the course of running MapReduces.
* `LogsExportCursor` -- This is a single entity which maintains the state of
log export.
* `MR-*` -- These entities are generated by the App Engine MapReduce library
in the course of running MapReduces.
* `Modification` -- A Modification is a special type of billing event which
represents the modification of a OneTime billing event.
* `OneTime` -- A OneTime is a billing event which represents a one-time charge
or credit to the client (as opposed to Recurring).
* `pipeline-*` -- These entities are also generated by the App Engine MapReduce
library.
* `PollMessage` -- PollMessages are generated by the system to notify registrars
of asynchronous responses and status changes.
* `pipeline-*` -- These entities are also generated by the App Engine
MapReduce library.
* `PollMessage` -- PollMessages are generated by the system to notify
registrars of asynchronous responses and status changes.
* `PremiumList`, `PremiumListEntry`, and `PremiumListRevision` -- The standard
method for determining which domain names receive premium pricing is to
maintain a static list of premium names. Each PremiumList contains some number
of PremiumListRevisions, each of which in turn contains a PremiumListEntry for
each premium name.
maintain a static list of premium names. Each PremiumList contains some
number of PremiumListRevisions, each of which in turn contains a
PremiumListEntry for each premium name.
* `RdeRevision` -- These entities are used by the RDE subsystem in the process
of generating files.
* `Recurring` -- A Recurring is a billing event which represents a recurring
@ -361,10 +364,10 @@ registry codebase:
stored in a special RegistrarContact entity.
* `RegistrarCredit` and `RegistrarCreditBalance` -- The system supports the
concept of a registrar credit balance, which is a pool of credit that the
registrar can use to offset amounts they owe. This might come from promotions,
for instance. These entities maintain registrars' balances.
* `Registry` -- These hold information about the TLDs supported by the Registry
system.
registrar can use to offset amounts they owe. This might come from
promotions, for instance. These entities maintain registrars' balances.
* `Registry` -- These hold information about the TLDs supported by the
Registry system.
* `RegistryCursor` -- These entities are the predecessor to the Cursor
entities. We are no longer using them, and will be deleting them soon.
* `ReservedList` -- Each ReservedList entity represents an entire list of
@ -374,22 +377,22 @@ registry codebase:
for generating tokens such as XSRF tokens.
* `SignedMarkRevocationList` -- The entities together contain the Signed Mark
Data Revocation List file downloaded from the TMCH MarksDB each day. Each
entity contains up to 10,000 rows of the file, so depending on the size of the
file, there will be some handful of entities.
entity contains up to 10,000 rows of the file, so depending on the size of
the file, there will be some handful of entities.
* `TmchCrl` -- This is a single entity containing ICANN's TMCH CA Certificate
Revocation List.
## Cloud Storage buckets
The Domain Registry platform uses
[Cloud Storage](https://cloud.google.com/storage/) for bulk storage of large
flat files that aren't suitable for Datastore. These files include backups, RDE
exports, Datastore snapshots (for ingestion into BigQuery), and reports. Each
bucket name must be unique across all of Google Cloud Storage, so we use the
common recommended pattern of prefixing all buckets with the name of the App
Engine app (which is itself globally unique). Most of the bucket names are
configurable, but the defaults are as follows, with PROJECT standing in as a
placeholder for the App Engine app name:
The Domain Registry platform uses [Cloud Storage]
(https://cloud.google.com/storage/) for bulk storage of large flat files that
aren't suitable for Datastore. These files include backups, RDE exports,
Datastore snapshots (for ingestion into BigQuery), and reports. Each bucket name
must be unique across all of Google Cloud Storage, so we use the common
recommended pattern of prefixing all buckets with the name of the App Engine app
(which is itself globally unique). Most of the bucket names are configurable,
but the defaults are as follows, with PROJECT standing in as a placeholder for
the App Engine app name:
* `PROJECT-billing` -- Monthly invoice files for each registrar.
* `PROJECT-commits` -- Daily exports of commit logs that are needed for
@ -399,13 +402,13 @@ placeholder for the App Engine app name:
* `PROJECT-gcs-logs` -- This bucket is used at Google to store the GCS access
logs and storage data. This bucket is not required by the Registry system,
but can provide useful logging information. For instructions on setup, see
the
[Cloud Storage documentation](https://cloud.google.com/storage/docs/access-logs).
the [Cloud Storage documentation]
(https://cloud.google.com/storage/docs/access-logs).
* `PROJECT-icann-brda` -- This bucket contains the weekly ICANN BRDA files.
There is no lifecycle expiration; we keep a history of all the files. This
bucket must exist for the BRDA process to function.
* `PROJECT-icann-zfa` -- This bucket contains the most recent ICANN ZFA
files. No lifecycle is needed, because the files are overwritten each time.
* `PROJECT-icann-zfa` -- This bucket contains the most recent ICANN ZFA files.
No lifecycle is needed, because the files are overwritten each time.
* `PROJECT-rde` -- This bucket contains RDE exports, which should then be
regularly uploaded to the escrow provider. Lifecycle is set to 90 days. The
bucket must exist.
@ -415,11 +418,12 @@ placeholder for the App Engine app name:
allow for in-depth querying.
* `PROJECT.appspot.com` -- Temporary MapReduce files are stored here. By
default, the App Engine MapReduce library places its temporary files in a
bucket named {project}.appspot.com. This bucket must exist. To keep temporary
files from building up, a 90-day or 180-day lifecycle should be applied to the
bucket, depending on how long you want to be able to go back and debug
MapReduce problems. At 30 GB per day of generate temporary files, this bucket
may be the largest consumer of storage, so only save what you actually use.
bucket named {project}.appspot.com. This bucket must exist. To keep
temporary files from building up, a 90-day or 180-day lifecycle should be
applied to the bucket, depending on how long you want to be able to go back
and debug MapReduce problems. At 30 GB per day of generate temporary files,
this bucket may be the largest consumer of storage, so only save what you
actually use.
## Commit logs

32
g3doc/configuration.md
View file

@ -1,12 +1,12 @@
# Configuration
There are multiple different kinds of configuration that go into getting a
working registry system up and running. Broadly speaking, configuration works
in two ways -- globally, for the entire sytem, and per-TLD. Global
configuration is managed by editing code and deploying a new version, whereas
per-TLD configuration is data that lives in Datastore in `Registry` entities,
and is updated by running `registry_tool` commands without having to deploy a
new version.
working registry system up and running. Broadly speaking, configuration works in
two ways -- globally, for the entire sytem, and per-TLD. Global configuration is
managed by editing code and deploying a new version, whereas per-TLD
configuration is data that lives in Datastore in `Registry` entities, and is
updated by running `registry_tool` commands without having to deploy a new
version.
## Environments
@ -40,8 +40,8 @@ doc, and the rest are covered in the general App Engine documentation.
If you are not writing new code to implement custom features, is unlikely that
you will need to make any modifications beyond simple changes to
`application.xml` and `appengine-web.xml`. If you are writing new features,
it's likely you'll need to add cronjobs, URL paths, Datastore indexes, and task
`application.xml` and `appengine-web.xml`. If you are writing new features, it's
likely you'll need to add cronjobs, URL paths, Datastore indexes, and task
queues, and thus edit those associated XML files.
## Global configuration
@ -101,20 +101,20 @@ module for `DummyKeyringModule` that loads the credentials in a secure way, and
provides them using either an instance of `InMemoryKeyring` or your own custom
implementation of `Keyring`. You then need to replace all usages of
`DummyKeyringModule` with your own module in all of the per-service components
in which it is referenced. The functions in `PgpHelper` will likely prove
useful for loading keys stored in PGP format into the PGP key classes that
you'll need to provide from `Keyring`, and you can see examples of them in
action in `DummyKeyringModule`.
in which it is referenced. The functions in `PgpHelper` will likely prove useful
for loading keys stored in PGP format into the PGP key classes that you'll need
to provide from `Keyring`, and you can see examples of them in action in
`DummyKeyringModule`.
## Per-TLD configuration
`Registry` entities, which are persisted to Datastore, are used for per-TLD
configuration. They contain any kind of configuration that is specific to a
TLD, such as the create/renew price of a domain name, the pricing engine
configuration. They contain any kind of configuration that is specific to a TLD,
such as the create/renew price of a domain name, the pricing engine
implementation, the DNS writer implementation, whether escrow exports are
enabled, the default currency, the reserved label lists, and more. The
`update_tld` command in `registry_tool` is used to set all of these options.
See the "Registry tool" documentation for more information, as well as the
`update_tld` command in `registry_tool` is used to set all of these options. See
the "Registry tool" documentation for more information, as well as the
command-line help for the `update_tld` command. Unlike global configuration
above, per-TLD configuration options are stored as data in the running system,
and thus do not require code pushes to update.

65
g3doc/install.md
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@ -5,25 +5,27 @@ working running instance.
## Prerequisites
* A recent version of the
[Java 7 JDK](http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html)
* A recent version of the [Java 7 JDK]
(http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html)
(note that Java 8 support should be coming to App Engine soon).
* [Bazel](http://bazel.io/), which is the buld system that
the Domain Registry project uses. The minimum required version is 0.3.1.
* [Google App Engine SDK for Java](https://cloud.google.com/appengine/downloads#Google_App_Engine_SDK_for_Java),
especially `appcfg`, which is a command-line tool that runs locally that is used
to communicate with the App Engine cloud.
* [Create an application](https://cloud.google.com/appengine/docs/java/quickstart)
on App Engine to deploy to, and set up `appcfg` to connect to it.
* [Bazel](http://bazel.io/), which is the buld system that the Domain Registry
project uses. The minimum required version is 0.3.1.
* [Google App Engine SDK for Java]
(https://cloud.google.com/appengine/downloads#Google_App_Engine_SDK_for_Java),
especially `appcfg`, which is a command-line tool that runs locally that is
used to communicate with the App Engine cloud.
* [Create an application]
(https://cloud.google.com/appengine/docs/java/quickstart) on App Engine to
deploy to, and set up `appcfg` to connect to it.
## Downloading the code
Start off by grabbing the latest version from the
[Domain Registry project on GitHub](https://github.com/google/domain-registry).
This can be done either by cloning the Git repo (if you expect to make code
changes to contribute back), or simply by downloading the latest release as a
zip file. This guide will cover cloning from Git, but should work almost
identically for downloading the zip file.
Start off by grabbing the latest version from the [Domain Registry project on
GitHub](https://github.com/google/domain-registry). This can be done either by
cloning the Git repo (if you expect to make code changes to contribute back), or
simply by downloading the latest release as a zip file. This guide will cover
cloning from Git, but should work almost identically for downloading the zip
file.
$ git clone git@github.com:google/domain-registry.git
Cloning into 'domain-registry'...
@ -47,8 +49,8 @@ by the project.
## Building and verifying the code
The first step is to verify that the project successfully builds. This will
also download and install dependencies.
The first step is to verify that the project successfully builds. This will also
download and install dependencies.
$ bazel --batch build //java{,tests}/google/registry/...
INFO: Found 584 targets...
@ -91,8 +93,8 @@ recommended to at least confirm that the default version of the code can be
pushed at all first before diving into that, with the expectation that things
won't work properly until they are configured.
All of the [EAR](https://en.wikipedia.org/wiki/EAR_(file_format)) and
[WAR](https://en.wikipedia.org/wiki/WAR_(file_format)) files for the different
All of the [EAR](https://en.wikipedia.org/wiki/EAR_\(file_format\)) and [WAR]
(https://en.wikipedia.org/wiki/WAR_\(file_format\)) files for the different
environments, which were built in the previous step, are outputted to the
`bazel-genfiles` directory as follows:
@ -115,7 +117,8 @@ an environment in the file name), whereas there is one WAR file per service per
environment, with there being three services in total: default, backend, and
tools.
Then, use `appcfg` to [deploy the WAR files](https://cloud.google.com/appengine/docs/java/tools/uploadinganapp):
Then, use `appcfg` to [deploy the WAR files]
(https://cloud.google.com/appengine/docs/java/tools/uploadinganapp):
$ cd /path/to/downloaded/appengine/app
$ /path/to/appcfg.sh update /path/to/registry_default.war
@ -144,20 +147,20 @@ it'll never be created for real on the Internet at large.
Perform this command? (y/N): y
Updated 1 entities.
The name of the TLD is the main parameter passed to the command. The initial
TLD state is set here to general availability, bypassing sunrise and landrush,
so that domain names can be created immediately in the following steps. The TLD
The name of the TLD is the main parameter passed to the command. The initial TLD
state is set here to general availability, bypassing sunrise and landrush, so
that domain names can be created immediately in the following steps. The TLD
type is set to `TEST` (the other alternative being `REAL`) for obvious reasons.
`roid_suffix` is the suffix that will be used for repository ids of domains on
the TLD -- it must be all uppercase and a maximum of eight ASCII characters.
ICANN
[recommends](https://www.icann.org/resources/pages/correction-non-compliant-roids-2015-08-26-en)
ICANN [recommends]
(https://www.icann.org/resources/pages/correction-non-compliant-roids-2015-08-26-en)
a unique ROID suffix per TLD. The easiest way to come up with one is to simply
use the entire uppercased TLD string if it is eight characters or fewer, or
abbreviate it in some sensible way down to eight if it is longer. The full repo
id of a domain resource is a hex string followed by the suffix,
e.g. `12F7CDF3-EXAMPLE` for our example TLD.
id of a domain resource is a hex string followed by the suffix, e.g.
`12F7CDF3-EXAMPLE` for our example TLD.
### Create a registrar
@ -178,10 +181,10 @@ In the command above, "acme" is the internal registrar id that is the primary
key used to refer to the registrar. The `name` is the display name that is used
less often, primarily in user interfaces. We again set the type of the resource
here to `TEST`. The `password` is the EPP password that the registrar uses to
log in with. The `icann_referral_email` is the email address associated with
the initial creation of the registrar -- note that the registrar cannot change
it later. The address fields are self-explanatory (note that other parameters
are available for international addresses). The `allowed_tlds` parameter is a
log in with. The `icann_referral_email` is the email address associated with the
initial creation of the registrar -- note that the registrar cannot change it
later. The address fields are self-explanatory (note that other parameters are
available for international addresses). The `allowed_tlds` parameter is a
comma-delimited list of TLDs that the registrar has access to, and here is set
to the example TLD.

35
g3doc/registry-tool.md
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@ -1,11 +1,11 @@
# Registry tool
The registry tool is a command-line registry administration tool that is invoked
using the `registry_tool` command. It has the ability to view and change a
large number of things in a running domain registry environment, including
creating registrars, updating premium and reserved lists, running an EPP command
from a given XML file, and performing various backend tasks like re-running RDE
if the most recent export failed. Its code lives inside the tools package
using the `registry_tool` command. It has the ability to view and change a large
number of things in a running domain registry environment, including creating
registrars, updating premium and reserved lists, running an EPP command from a
given XML file, and performing various backend tasks like re-running RDE if the
most recent export failed. Its code lives inside the tools package
(`java/google/registry/tools`), and is compiled by building the `registry_tool`
target in the Bazel BUILD file in that package.
@ -69,22 +69,23 @@ them are grouped using sub-interfaces or abstract classes that provide
additional functionality. The most common patterns that are used by a large
number of other tools are:
* **`BigqueryCommand`** -- Provides a connection to BigQuery for tools that need
it.
* **`ConfirmingCommand`** -- Provides the methods `prompt()` and `execute()` to
override. `prompt()` outputs a message (usually what the command is going to
do) and prompts the user to confirm execution of the command, and then
* **`BigqueryCommand`** -- Provides a connection to BigQuery for tools that
need it.
* **`ConfirmingCommand`** -- Provides the methods `prompt()` and `execute()`
to override. `prompt()` outputs a message (usually what the command is going
to do) and prompts the user to confirm execution of the command, and then
`execute()` actually does it.
* **`EppToolCommand`** -- Commands that work by executing EPP commands against
the server, usually by filling in a template with parameters that were passed
on the command-line.
* **`MutatingEppToolCommand`** -- A sub-class of `EppToolCommand` that provides
a `--dry_run` flag, that, if passed, will display the output from the server
of what the command would've done without actually committing those changes.
the server, usually by filling in a template with parameters that were
passed on the command-line.
* **`MutatingEppToolCommand`** -- A sub-class of `EppToolCommand` that
provides a `--dry_run` flag, that, if passed, will display the output from
the server of what the command would've done without actually committing
those changes.
* **`GetEppResourceCommand`** -- Gets individual EPP resources from the server
and outputs them.
* **`ListObjectsCommand`** -- Lists all objects of a specific type from the
server and outputs them.
* **`MutatingCommand`** -- Provides a facility to create or update entities in
Datastore, and uses a diff algorithm to display the changes that will be made
before committing them.
Datastore, and uses a diff algorithm to display the changes that will be
made before committing them.