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Escribe datos en la base de datos de Firestore
En esta página, se describe la segunda etapa del proceso de migración, en la que configuras una canalización de Dataflow y comienzas una transferencia de datos simultánea desde el bucket de Cloud Storage a tu base de datos de Firestore con compatibilidad con MongoDB de destino. Esta operación se ejecutará de forma simultánea con la transmisión de Datastream.
Inicia la canalización de Dataflow
El siguiente comando inicia una canalización de Dataflow nueva con un nombre único.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-04 (UTC)"],[],[],null,["# Write data to the Firestore database\n====================================\n\nThis page describes the second stage of the\n[migration process](/firestore/mongodb-compatibility/docs/migrate-data) where\nyou set up a Dataflow pipeline and begin a concurrent data move\nfrom the Cloud Storage bucket into your destination\nFirestore with MongoDB compatibility database. This operation\nwill run concurrently with the Datastream stream.\n\nStart the Dataflow pipeline\n---------------------------\n\nThe following command starts a new, uniquely named, Dataflow\npipeline.\n**Note:** The start timestamp of the job is captured in the `DATAFLOW_START_TIME` environment variable. Make a note of this timestamp: it will appear as part of the job name in the Dataflow console. \n\n DATAFLOW_START_TIME=\"$(date +'%Y%m%d%H%M%S')\"\n\n gcloud dataflow flex-template run \"dataflow-mongodb-to-firestore-$DATAFLOW_START_TIME\" \\\n --template-file-gcs-location gs://dataflow-templates-us-central1/latest/flex/Cloud_Datastream_MongoDB_to_Firestore \\\n --region $LOCATION \\\n --num-workers $NUM_WORKERS \\\n --temp-location $TEMP_OUTPUT_LOCATION \\\n --additional-user-labels \"\" \\\n --parameters inputFilePattern=$INPUT_FILE_LOCATION,\\\n inputFileFormat=avro,\\\n fileReadConcurrency=10,\\\n connectionUri=$FIRESTORE_CONNECTION_URI,\\\n databaseName=$FIRESTORE_DATABASE_NAME,\\\n shadowCollectionPrefix=shadow_,\\\n batchSize=500,\\\n deadLetterQueueDirectory=$DLQ_LOCATION,\\\n dlqRetryMinutes=10,\\\n dlqMaxRetryCount=500,\\\n processBackfillFirst=false,\\\n useShadowTablesForBackfill=true,\\\n runMode=regular,\\\n directoryWatchDurationInMinutes=20,\\\n streamName=$DATASTREAM_NAME,\\\n stagingLocation=$STAGING_LOCATION,\\\n autoscalingAlgorithm=THROUGHPUT_BASED,\\\n maxNumWorkers=$MAX_WORKERS,\\\n workerMachineType=$WORKER_TYPE\n\nFor more information about monitoring the Dataflow pipeline,\nsee\n[Troubleshooting](/firestore/mongodb-compatibility/docs/migrate-troubleshooting).\n\nWhat's next\n-----------\n\nProceed to\n[Migrate traffic to Firestore](/firestore/mongodb-compatibility/docs/migrate-traffic)."]]
