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كيف يمكنني تحويل الملفات من Parquet إلى CSV أو JSON؟

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تحويل الملفات من Parquet إلى CSV أو JSON

يمكنك استخدام clickhouse-local لتحويل الملفات بين أي من تنسيقات الإدخال والإخراج التي يدعمها ClickHouse (وهي أكثر من 70 تنسيقًا مختلفًا!). في هذه المقالة، سنحوّل ملف Parquet في S3 إلى ملفي CSV وJSON.

لنبدأ من البداية. يوفّر ClickHouse مجموعة من دوال الجداول التي تقرأ من الملفات وقواعد البيانات والموارد الأخرى، ثم تحوّل البيانات إلى جدول. للتوضيح، لنفترض أن لدينا ملف Parquet في S3. سنستخدم دالة الجدول s3 لقراءته (ويعرف ClickHouse أنه ملف Parquet استنادًا إلى اسم الملف).

لكن أولًا، لننزّل الملف التنفيذي clickhouse:

curl https://clickhouse.com/ | sh

الوصول إلى البيانات باستخدام دالة الجدول

لنتحقق من إمكانية قراءة الملف باستخدام DESCRIBE على الجدول الناتج الذي تُنشئه دالة الجدول s3:

./clickhouse local -q "DESCRIBE s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')"

يحتوي هذا الملف تحديدًا على أسعار المنازل للعقارات التي بيعت في المملكة المتحدة. تبدو الاستجابة كما يلي:

price	Nullable(Int64)
date	Nullable(UInt16)
postcode1	Nullable(String)
postcode2	Nullable(String)
type	Nullable(String)
is_new	Nullable(UInt8)
duration	Nullable(String)
addr1	Nullable(String)
addr2	Nullable(String)
street	Nullable(String)
locality	Nullable(String)
town	Nullable(String)
district	Nullable(String)
county	Nullable(String)

يمكنك تنفيذ أي استعلام تريده على البيانات. على سبيل المثال، لنرَ أيُّ البلدات لديها أعلى متوسط لأسعار المنازل:

./clickhouse local -q "SELECT
   town,
   avg(price) AS avg_price
FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')
GROUP BY town
ORDER BY avg_price DESC
LIMIT 10"

تكون الاستجابة كما يلي:

GATWICK	16818750
CHALFONT ST GILES	938090.0985915493
VIRGINIA WATER	789301.1320224719
COBHAM	699874.7111622555
BEACONSFIELD	677247.5483146068
ESHER	616004.6888297872
KESTON	607585.8597560975
GERRARDS CROSS	566330.2959086584
ASCOT	551491.2975753123
WEYBRIDGE	548974.828692494

حوِّل ملف Parquet إلى ملف CSV

يمكنك إرسال نتيجة أي استعلام SQL إلى ملف. لنأخذ جميع الأعمدة من ملف Parquet الموجود لدينا في S3 ونرسل الناتج إلى ملف CSV جديد. وبما أن ملف الإخراج ينتهي بـ .csv، فإن ClickHouse يعرف أنه يجب استخدام صيغة الإخراج CSV:

./clickhouse local -q "SELECT *
FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')
INTO OUTFILE 'house_prices.csv'"

لنتحقق من نجاح ذلك:

$ tail house_prices.csv
70000,10508,"YO8","9XN","detached",0,"freehold","7","","POPPY CLOSE","SELBY","SELBY","SELBY","NORTH YORKSHIRE"
130000,14274,"YO8","9XP","detached",0,"freehold","10","","HEATHER CLOSE","","SELBY","SELBY","NORTH YORKSHIRE"
150000,18180,"YO8","9XP","detached",0,"freehold","11","","HEATHER CLOSE","","SELBY","SELBY","NORTH YORKSHIRE"
157000,18088,"YO8","9XP","detached",0,"freehold","12","","HEATHER CLOSE","","SELBY","SELBY","NORTH YORKSHIRE"
134000,17333,"YO8","9XP","semi-detached",0,"freehold","16","","HEATHER CLOSE","","SELBY","SELBY","NORTH YORKSHIRE"
250000,13405,"YO8","9YA","detached",0,"freehold","6","","YORKDALE COURT","HAMBLETON","SELBY","SELBY","NORTH YORKSHIRE"
59500,11166,"YO8","9YB","semi-detached",0,"freehold","4","","YORKDALE DRIVE","HAMBLETON","SELBY","SELBY","NORTH YORKSHIRE"
142500,17648,"YO8","9YB","semi-detached",0,"freehold","4A","","YORKDALE DRIVE","HAMBLETON","SELBY","SELBY","NORTH YORKSHIRE"
230000,15125,"YO8","9YD","detached",0,"freehold","1","","ONE ACRE GARTH","HAMBLETON","SELBY","SELBY","NORTH YORKSHIRE"
250000,15950,"YO8","9YD","detached",0,"freehold","3","","ONE ACRE GARTH","HAMBLETON","SELBY","SELBY","NORTH YORKSHIRE"

حوّل ملف Parquet إلى تنسيق JSON

لتحويل ملف Parquet إلى JSON، ما عليك سوى تغيير امتداد ملف الإخراج:

./clickhouse local -q "SELECT *
FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')
INTO OUTFILE 'house_prices.ndjson'"

لنتأكد من نجاح العملية:

 $ tail house_prices.ndjson
{"price":"70000","date":10508,"postcode1":"YO8","postcode2":"9XN","type":"detached","is_new":0,"duration":"freehold","addr1":"7","addr2":"","street":"POPPY CLOSE","locality":"SELBY","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"130000","date":14274,"postcode1":"YO8","postcode2":"9XP","type":"detached","is_new":0,"duration":"freehold","addr1":"10","addr2":"","street":"HEATHER CLOSE","locality":"","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"150000","date":18180,"postcode1":"YO8","postcode2":"9XP","type":"detached","is_new":0,"duration":"freehold","addr1":"11","addr2":"","street":"HEATHER CLOSE","locality":"","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"157000","date":18088,"postcode1":"YO8","postcode2":"9XP","type":"detached","is_new":0,"duration":"freehold","addr1":"12","addr2":"","street":"HEATHER CLOSE","locality":"","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"134000","date":17333,"postcode1":"YO8","postcode2":"9XP","type":"semi-detached","is_new":0,"duration":"freehold","addr1":"16","addr2":"","street":"HEATHER CLOSE","locality":"","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"250000","date":13405,"postcode1":"YO8","postcode2":"9YA","type":"detached","is_new":0,"duration":"freehold","addr1":"6","addr2":"","street":"YORKDALE COURT","locality":"HAMBLETON","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"59500","date":11166,"postcode1":"YO8","postcode2":"9YB","type":"semi-detached","is_new":0,"duration":"freehold","addr1":"4","addr2":"","street":"YORKDALE DRIVE","locality":"HAMBLETON","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"142500","date":17648,"postcode1":"YO8","postcode2":"9YB","type":"semi-detached","is_new":0,"duration":"freehold","addr1":"4A","addr2":"","street":"YORKDALE DRIVE","locality":"HAMBLETON","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"230000","date":15125,"postcode1":"YO8","postcode2":"9YD","type":"detached","is_new":0,"duration":"freehold","addr1":"1","addr2":"","street":"ONE ACRE GARTH","locality":"HAMBLETON","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}
{"price":"250000","date":15950,"postcode1":"YO8","postcode2":"9YD","type":"detached","is_new":0,"duration":"freehold","addr1":"3","addr2":"","street":"ONE ACRE GARTH","locality":"HAMBLETON","town":"SELBY","district":"SELBY","county":"NORTH YORKSHIRE"}

تحويل CSV إلى Parquet

يعمل هذا في كلا الاتجاهين - إذ يمكننا بسهولة قراءة ملف CSV الجديد وإخراجه كملف Parquet. ويمكن لـ ClickHouse قراءة الملف المحلي house_prices.csv باستخدام دالة الجدول file، كما يُخرج ClickHouse الملف بتنسيق Parquet استنادًا إلى امتداد اسم الملف .parquet (أو كان بإمكاننا إضافة بند FORMAT Parquet):

./clickhouse local -q "SELECT *
FROM file('house_prices.csv')
INTO OUTFILE 'house_prices.parquet'"

كما ذكرنا أعلاه، يمكنك استخدام أيٍّ من تنسيقات الإدخال والإخراج في ClickHouse مع clickhouse local لتحويل الملفات بسهولة إلى صيغ مختلفة.

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