mirror of
https://github.com/twitter/the-algorithm.git
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241 lines
8.8 KiB
XML
241 lines
8.8 KiB
XML
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<?xml version="1.0" encoding="UTF-8"?>
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<!-- Ingesters process tweet create events from TweetyPie and write them to a queue for Earlybird
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to index. -->
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<pipeline>
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<property
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propName="validator"
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className="org.apache.commons.pipeline.validation.SimplePipelineValidator"/>
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<listener
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className="org.apache.commons.pipeline.listener.ObjectProcessedEventCounter"/>
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<driverFactory
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className="org.apache.commons.pipeline.driver.DedicatedThreadStageDriverFactory"
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id="kafka">
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<property
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propName="queueFactory"
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className="org.apache.commons.pipeline.util.BlockingQueueFactory$ArrayBlockingQueueFactory"
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capacity="1000"
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fair="false"/>
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</driverFactory>
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<!-- Read tweets from the thrift kafka queue. The reader loops forever. -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.kafka.KafkaRawRecordConsumerStage"
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kafkaClusterPath=""
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kafkaClientId=""
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kafkaTopicName=""
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kafkaConsumerGroupId=""
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maxPollRecords="1"
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pollTimeoutMs="1000"
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partitioned="false"
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deciderKey=""
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driverFactoryId="kafka"/>
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<!-- Deserialize the bytes into TweetData -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.TweetEventDeserializerStage"
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driverFactoryId="kafka"/>
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<!-- Filter to only have the safetytype for this cluster -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.FilterEventsBySafetyTypeStage"
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tweetCreateLatencyLogThresholdMillis="5000"
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safetyType="PUBLIC"
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driverFactoryId="kafka"/>
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<!-- Parse to TwitterMessage -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.ThriftTweetParserStage"
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tweetCreateEventBranchNames="kafka_retweet_and_reply"
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tweetDeleteEventBranchNames="kafka_update_events_delete"
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driverFactoryId="kafka"/>
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<branch>
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<pipeline key="kafka_update_events_delete">
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<property
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propName="validator"
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className="org.apache.commons.pipeline.validation.SimplePipelineValidator"/>
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<listener
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className="org.apache.commons.pipeline.listener.ObjectProcessedEventCounter"/>
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<driverFactory
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className="org.apache.commons.pipeline.driver.DedicatedThreadStageDriverFactory"
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id="kafka_update_events_delete">
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<!-- we are willing to queue more deletes than other stages,
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to make sure we don't slow down the incoming tweets -->
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<property
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propName="queueFactory"
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className="org.apache.commons.pipeline.util.BlockingQueueFactory$ArrayBlockingQueueFactory"
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capacity="1000"
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fair="false"/>
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</driverFactory>
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.kafka.DeleteUpdateEventsKafkaProducerStage"
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kafkaClusterPath=""
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kafkaClientId=""
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kafkaTopicName=""
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driverFactoryId="kafka_update_events_delete"/>
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</pipeline>
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</branch>
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<!-- Processes retweets and replies to tweets -->
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<branch>
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<pipeline key="kafka_retweet_and_reply">
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<property
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propName="validator"
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className="org.apache.commons.pipeline.validation.SimplePipelineValidator"/>
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<listener
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className="org.apache.commons.pipeline.listener.ObjectProcessedEventCounter"/>
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<driverFactory
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className="org.apache.commons.pipeline.driver.DedicatedThreadStageDriverFactory"
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id="kafka_retweet_and_reply">
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<property
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propName="queueFactory"
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className="org.apache.commons.pipeline.util.BlockingQueueFactory$ArrayBlockingQueueFactory"
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capacity="1000"
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fair="false"/>
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</driverFactory>
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<!-- An incoming reply to this stage can either be a tweet directed at someone using @mention, or
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a tweet that is a direct reply to another tweet. This stage filters retweets and tweets that are
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direct replies to other tweets into the retweet_and_reply pipeline -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.FilterRetweetsAndRepliesStage"
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driverFactoryId="kafka_retweet_and_reply"/>
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.ConvertToThriftVersionedEventsStage"
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driverFactoryId="kafka_retweet_and_reply"/>
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.kafka.RetweetAndReplyUpdateEventsKafkaProducerStage"
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kafkaClusterPath=""
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kafkaClientId=""
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kafkaTopicName=""
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driverFactoryId="kafka_retweet_and_reply"/>
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</pipeline>
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</branch>
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<!-- filters out messages that are not formatted correctly -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.FilterTwitterMessageStage"
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driverFactoryId="kafka"/>
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<!-- retrieves space ids from space urls if the tweet has space urls -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.RetrieveSpaceIdsStage"
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driverFactoryId="kafka"/>
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<!-- looks up user reputation scores for each message -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.LookupUserPropertiesBatchedStage"
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driverFactoryId="kafka"/>
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<!-- extract text features of the message -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.TextFeatureExtractionWorkersStage"
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driverFactoryId="kafka"/>
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<!-- compute text quality score of the message -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.TextQualityEvaluationWorkerStage"
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driverFactoryId="kafka"/>
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<!-- Extract lat/lon pairs from the text, and geocode them -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.SingleTweetExtractAndGeocodeLatLonStage"
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driverFactoryId="kafka"/>
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<!-- adds coded locations -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.PopulateCodedLocationsBatchedStage"
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driverFactoryId="kafka"/>
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<!-- Parse the TwitterMessages into ThriftStatuses -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.ConvertMessageToThriftStage"
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thriftVersionedEventsBranchName="kafka_base_tweets"
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driverFactoryId="kafka"/>
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<!-- Branch for tweets -->
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<branch>
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<pipeline key="kafka_base_tweets">
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<property
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propName="validator"
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className="org.apache.commons.pipeline.validation.SimplePipelineValidator"/>
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<listener
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className="org.apache.commons.pipeline.listener.ObjectProcessedEventCounter"/>
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<driverFactory
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className="org.apache.commons.pipeline.driver.DedicatedThreadStageDriverFactory"
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id="kafka_base_tweets">
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<property
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propName="queueFactory"
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className="org.apache.commons.pipeline.util.BlockingQueueFactory$ArrayBlockingQueueFactory"
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capacity="1000"
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fair="false"/>
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</driverFactory>
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.kafka.TweetThriftVersionedEventsKafkaProducerStage"
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kafkaClusterPath=""
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kafkaClientId=""
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kafkaTopicName="search_ingester_indexing_events_realtime_prod"
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driverFactoryId="kafka_base_tweets"/>
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</pipeline>
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</branch>
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<!-- Resolve compressed URL via Pink -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.ResolveCompressedUrlsBatchedStage"
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pinkClientId="INGESTER"
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batchedStageBatchSize="10"
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tweetMaxAgeToResolve="10000"
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driverFactoryId="kafka"/>
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<!-- Retrieve card information -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.RetrieveCardBatchedStage"
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tweetypieClientId="ingester.prod"
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internalBatchSize="50"
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driverFactoryId="kafka"/>
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<!-- Retrieve named entities -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.RetrieveNamedEntitiesSingleTweetStage"
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driverFactoryId="kafka"/>
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<!-- retrieves space admins and title for a tweet if the tweet has space urls -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.RetrieveSpaceAdminsAndTitleStage"
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driverFactoryId="kafka"/>
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<!-- extract text features of the message -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.TextUrlsFeatureExtractionStage"
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driverFactoryId="kafka"/>
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<!-- Compute the tweet signature -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.ComputeTweetSignatureStage"
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driverFactoryId="kafka"/>
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<!-- Parse the TwitterMessages into ThriftStatuses -->
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.ConvertDelayedMessageToThriftStage"
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driverFactoryId="kafka"/>
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<stage
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className="com.twitter.search.ingester.pipeline.twitter.kafka.TweetThriftVersionedEventsKafkaProducerStage"
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kafkaClusterPath=""
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stageName="UpdateEvents"
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kafkaClientId=""
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kafkaTopicName=""
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driverFactoryId="kafka"/>
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</pipeline>
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