J'ai un gros fichier JSON, environ 5 millions d'enregistrements et une taille de fichier d'environ 32 Go, que je dois charger dans notre entrepôt de données Snowflake. Je dois obtenir ce fichier divisé en morceaux d'environ 200 000 enregistrements (environ 1,25 Go) par fichier. J'aimerais faire cela dans Node.JS ou Python pour le déploiement dans une fonction AWS Lambda. Malheureusement, je n'ai pas encore codé. J'ai des connaissances en C # et beaucoup d'expérience en SQL. J'apprends à la fois les nœuds et les pythons sur ma liste de choses à faire.
Ma première question est "Quelle langue servirait mieux cette fonction? Python ou Node.JS?"
Je sais que je ne veux pas lire tout le fichier JSON en mémoire (ni même le fichier de sortie plus petit fichier). Je dois être capable de le "diffuser" dans et / dans le nouveau fichier sur la base d’un nombre d’enregistrements (200 ko), de fermer correctement les objets json et de continuer dans un nouveau fichier pendant 200 ko supplémentaires, etc. . Je sais que Node peut le faire, mais si Python peut également le faire, j’ai l’impression que ce serait plus facile de commencer rapidement à utiliser pour d’autres tâches ETL que je ferai bientôt.
Ma deuxième question est «D'après votre recommandation ci-dessus, pouvez-vous également recommander les modules dont j'ai besoin/à importer pour m'aider à démarrer? Principalement en ce qui concerne le fait de ne pas extraire le fichier json en mémoire? Peut-être quelques astuces, astuces ou ' Et si vous vous sentez vraiment généreux, un exemple de code pour m'aider à me pousser au plus profond de tout ça?
Je ne peux pas inclure d'échantillon de données JSON, car il contient des informations personnelles. Mais je peux fournir le schéma JSON ...
{
"$schema": "http://json-schema.org/draft-04/schema#",
"items": {
"properties": {
"activities": {
"properties": {
"activity_id": {
"items": {
"type": "integer"
},
"type": "array"
},
"frontlineorg_id": {
"items": {
"type": "integer"
},
"type": "array"
},
"import_id": {
"items": {
"type": "integer"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"is_source": {
"items": {
"type": "boolean"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"address": {
"properties": {
"city": {
"items": {
"type": "string"
},
"type": "array"
},
"congress_dist_name": {
"items": {
"type": "string"
},
"type": "array"
},
"congress_dist_number": {
"items": {
"type": "integer"
},
"type": "array"
},
"congress_end_yr": {
"items": {
"type": "integer"
},
"type": "array"
},
"congress_number": {
"items": {
"type": "integer"
},
"type": "array"
},
"congress_start_yr": {
"items": {
"type": "integer"
},
"type": "array"
},
"county": {
"items": {
"type": "string"
},
"type": "array"
},
"formatted": {
"items": {
"type": "string"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"latitude": {
"items": {
"type": "number"
},
"type": "array"
},
"longitude": {
"items": {
"type": "number"
},
"type": "array"
},
"number": {
"items": {
"type": "string"
},
"type": "array"
},
"observes_dst": {
"items": {
"type": "boolean"
},
"type": "array"
},
"post_directional": {
"items": {
"type": "null"
},
"type": "array"
},
"pre_directional": {
"items": {
"type": "null"
},
"type": "array"
},
"school_district": {
"items": {
"properties": {
"school_dist_name": {
"items": {
"type": "string"
},
"type": "array"
},
"school_dist_type": {
"items": {
"type": "string"
},
"type": "array"
},
"school_grade_high": {
"items": {
"type": "string"
},
"type": "array"
},
"school_grade_low": {
"items": {
"type": "string"
},
"type": "array"
},
"school_lea_code": {
"items": {
"type": "integer"
},
"type": "array"
}
},
"type": "object"
},
"type": "array"
},
"secondary_number": {
"items": {
"type": "null"
},
"type": "array"
},
"secondary_unit": {
"items": {
"type": "null"
},
"type": "array"
},
"state": {
"items": {
"type": "string"
},
"type": "array"
},
"state_house_dist_name": {
"items": {
"type": "string"
},
"type": "array"
},
"state_house_dist_number": {
"items": {
"type": "integer"
},
"type": "array"
},
"state_senate_dist_name": {
"items": {
"type": "string"
},
"type": "array"
},
"state_senate_dist_number": {
"items": {
"type": "integer"
},
"type": "array"
},
"street": {
"items": {
"type": "string"
},
"type": "array"
},
"suffix": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"timezone": {
"items": {
"type": "string"
},
"type": "array"
},
"utc_offset": {
"items": {
"type": "integer"
},
"type": "array"
},
"Zip": {
"items": {
"type": "integer"
},
"type": "array"
}
},
"type": "object"
},
"age": {
"type": "integer"
},
"anniversary": {
"properties": {
"date": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"baptism": {
"properties": {
"church_id": {
"type": "null"
},
"date": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"birth_dd": {
"type": "integer"
},
"birth_mm": {
"type": "integer"
},
"birth_yyyy": {
"type": "integer"
},
"church_attendance": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"likelihood": {
"items": {
"type": "integer"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"cohabiting": {
"properties": {
"confidence": {
"items": {
"type": "string"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"likelihood": {
"items": {
"type": "null"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"dating": {
"properties": {
"bool": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"divorced": {
"properties": {
"bool": {
"items": {
"type": "null"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"likelihood_considering": {
"items": {
"type": "integer"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"education": {
"properties": {
"est_level": {
"items": {
"type": "string"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"email": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"is_work_school": {
"items": {
"type": "boolean"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"engaged": {
"properties": {
"insert_datetime_utc": {
"type": "null"
},
"likelihood": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"est_income": {
"properties": {
"est_level": {
"items": {
"type": "string"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"ethnicity": {
"type": "string"
},
"first_name": {
"type": "string"
},
"formatted_birthdate": {
"type": "string"
},
"gender": {
"type": "string"
},
"head_of_household": {
"properties": {
"bool": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"home_church": {
"properties": {
"church_id": {
"type": "null"
},
"group_participant": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"is_coaching": {
"type": "null"
},
"is_giving": {
"type": "null"
},
"is_serving": {
"type": "null"
},
"membership_date": {
"type": "null"
},
"regular_attendee": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"hub_poid": {
"type": "integer"
},
"insert_datetime_utc": {
"type": "string"
},
"ip_address": {
"properties": {
"insert_datetime_utc": {
"type": "null"
},
"string": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"last_name": {
"type": "string"
},
"marriage_segment": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"married": {
"properties": {
"bool": {
"items": {
"type": "boolean"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"middle_name": {
"type": "string"
},
"miscellaneous": {
"properties": {
"attribute": {
"items": {
"type": "string"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"value": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"name_suffix": {
"type": "null"
},
"name_title": {
"type": "null"
},
"newlywed": {
"properties": {
"bool": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"parent": {
"properties": {
"bool": {
"items": {
"type": "boolean"
},
"type": "array"
},
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"likelihood_expecting": {
"items": {
"type": "integer"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"person_id": {
"type": "integer"
},
"phone": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"number": {
"items": {
"type": "integer"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"type": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"property_rights": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"psychographic_cluster": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"religion": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"religious_segment": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"separated": {
"properties": {
"bool": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"significant_other": {
"properties": {
"first_name": {
"type": "null"
},
"insert_datetime_utc": {
"type": "null"
},
"last_name": {
"type": "null"
},
"middle_name": {
"type": "null"
},
"name_suffix": {
"type": "null"
},
"name_title": {
"type": "null"
},
"suppressed_datetime_utc": {
"type": "null"
}
},
"type": "object"
},
"suppressed_datetime_utc": {
"type": "string"
},
"target_group": {
"properties": {
"insert_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
},
"string": {
"items": {
"type": "string"
},
"type": "array"
},
"suppressed_datetime_utc": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
}
},
"type": "object"
},
"type": "array"
}
Répondre à la question de savoir si Python ou Node serait préférable pour la tâche serait un avis et nous ne sommes pas autorisés à exprimer notre opinion sur Stack Overflow. Vous devez décider vous-même de ce que vous avez plus d'expérience et de ce que vous voulez travailler - Python ou Node.
Si vous choisissez Node, certains modules peuvent vous aider dans cette tâche, ils effectuent une analyse en flux JSON. Par exemple. ces modules:
Si vous choisissez Python, il existe également des analyseurs JSON en streaming:
Utilisez ce code dans la commande linux Invite
split -b 53750k <your-file>
cat xa* > <your-file>
Consultez ce lien: https://askubuntu.com/questions/28847/text-editor-to-edit-large-4-3-gb-plain-text-file