mirror of
https://github.com/google/nomulus.git
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9d2b1e7572
Currently, we have two different ways to parse a "set" parameter: key=value1&key=value2&key=value3... and keys=value1,value2,value3 This is error prone for several reasons: - different parts of the code must be "synchronized" to use the same style (the place that creates the request, and the place that parses the request) - for the key=value1&key=value2, we often use the same key name for the single value and the set value. This can result in subtle bugs where part of the code will successfully read the key assuming there's only one key (and will get the first key=value1, ignoring the rest) Here we transition everything to the keys=value1,value2,value3 method. This one was chosen because: - it's shorter - it's more intuitive for users - the key name is plural, differentiating it from the singular key=value that other requests might need ----------------------------------- To make sure there are not "transition issues", we will continue to support (with warnings) the key=value1&key=value2 parameter parsing until we're sure we haven't forgotten to update any part of the code. ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=198810681
182 lines
7 KiB
XML
182 lines
7 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<cronentries>
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<!--
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/cron/fanout params:
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queue=<QUEUE_NAME>
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endpoint=<ENDPOINT_NAME> // URL Path of servlet, which may contain placeholders:
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runInEmpty // Run once, with no tld parameter
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forEachRealTld // Run for tlds with getTldType() == TldType.REAL
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forEachTestTld // Run for tlds with getTldType() == TldType.TEST
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exclude=TLD1[,TLD2] // exclude something otherwise included
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-->
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<cron>
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<url>/_dr/task/rdeStaging</url>
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<description>
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This job generates a full RDE escrow deposit as a single gigantic XML document
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and streams it to cloud storage. When this job has finished successfully, it'll
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launch a separate task that uploads the deposit file to Iron Mountain via SFTP.
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</description>
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<!--
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This only needs to run once per day, but we launch additional jobs in case the
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cursor is lagging behind, so it'll catch up to the current date as quickly as
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possible. The only job that'll run under normal circumstances is the one that's
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close to midnight, since if the cursor is up-to-date, the task is a no-op.
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We want it to be close to midnight because that reduces the chance that the
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point-in-time code won't have to go to the extra trouble of fetching old
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versions of objects from Datastore. However, we don't want it to run too
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close to midnight, because there's always a chance that a change which was
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timestamped before midnight hasn't fully been committed to Datastore. So
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we add a 4+ minute grace period to ensure the transactions cool down, since
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our queries are not transactional.
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-->
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<schedule>every 4 hours from 00:07 to 20:00</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=rde-upload&endpoint=/_dr/task/rdeUpload&forEachRealTld]]></url>
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<description>
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This job is a no-op unless RdeUploadCursor falls behind for some reason.
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</description>
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<schedule>every 4 hours synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=rde-report&endpoint=/_dr/task/rdeReport&forEachRealTld]]></url>
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<description>
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This job is a no-op unless RdeReportCursor falls behind for some reason.
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</description>
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<schedule>every 4 hours synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=marksdb&endpoint=/_dr/task/tmchDnl&runInEmpty]]></url>
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<description>
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This job downloads the latest DNL from MarksDB and inserts it into the database.
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(See: TmchDnlServlet, ClaimsList)
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</description>
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<schedule>every 12 hours synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=marksdb&endpoint=/_dr/task/tmchSmdrl&runInEmpty]]></url>
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<description>
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This job downloads the latest SMDRL from MarksDB and inserts it into the database.
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(See: TmchSmdrlServlet, SignedMarkRevocationList)
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</description>
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<schedule>every 12 hours from 00:15 to 12:15</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=marksdb&endpoint=/_dr/task/tmchCrl&runInEmpty]]></url>
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<description>
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This job downloads the latest CRL from MarksDB and inserts it into the database.
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(See: TmchCrlServlet)
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</description>
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<schedule>every 12 hours synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=retryable-cron-tasks&endpoint=/_dr/task/syncGroupMembers&runInEmpty]]></url>
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<description>
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Syncs RegistrarContact changes in the past hour to Google Groups.
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</description>
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<schedule>every 1 hours synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=sheet&endpoint=/_dr/task/syncRegistrarsSheet&runInEmpty]]></url>
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<description>
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Synchronize Registrar entities to Google Spreadsheets.
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</description>
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<schedule>every 1 hours synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/commitLogCheckpoint]]></url>
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<description>
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This job checkpoints the commit log buckets and exports the diff since last checkpoint to GCS.
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</description>
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<schedule>every 3 minutes synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/task/deleteContactsAndHosts]]></url>
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<description>
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This job runs a mapreduce that processes batch asynchronous deletions of
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contact and host resources by mapping over all EppResources and checking
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for any references to the contacts/hosts in pending deletion.
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</description>
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<schedule>every 5 minutes synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/task/refreshDnsOnHostRename]]></url>
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<description>
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This job runs a mapreduce that asynchronously handles DNS refreshes for
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host renames by mapping over all domains and creating DNS refresh tasks
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for any domains that reference a renamed host.
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</description>
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<schedule>every 5 minutes synchronized</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=export-snapshot&endpoint=/_dr/task/exportSnapshot&runInEmpty]]></url>
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<description>
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This job fires off a Datastore backup-as-a-service job that generates snapshot files in GCS.
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It also enqueues a new task to wait on the completion of that job and then load the resulting
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snapshot into bigquery.
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</description>
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<!-- Keep the task-age-limit for this job's task queue less than this cron interval. -->
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<schedule>every day 06:00</schedule>
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<target>backend</target>
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</cron>
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<!--
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Removed for the duration of load testing
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TODO(b/71607184): Restore after loadtesting is done
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=retryable-cron-tasks&endpoint=/_dr/task/deleteProberData&runInEmpty]]></url>
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<description>
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This job clears out data from probers and runs once a week.
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</description>
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<schedule>every monday 14:00</schedule>
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<timezone>UTC</timezone>
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<target>backend</target>
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</cron>
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-->
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<!-- TODO: Add borgmon job to check that these files are created and updated successfully. -->
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<cron>
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<url><![CDATA[/_dr/cron/fanout?queue=retryable-cron-tasks&endpoint=/_dr/task/exportReservedTerms&forEachRealTld]]></url>
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<description>
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Reserved terms export to Google Drive job for creating once-daily exports.
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</description>
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<schedule>every day 05:30</schedule>
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<target>backend</target>
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</cron>
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<cron>
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<url><![CDATA[/_dr/cron/readDnsQueue?jitterSeconds=45]]></url>
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<description>
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Lease all tasks from the dns-pull queue, group by TLD, and invoke PublishDnsUpdates for each
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group.
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</description>
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<schedule>every 1 minutes synchronized</schedule>
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<target>backend</target>
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</cron>
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</cronentries>
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