CSV to JSON - CSVJSON
Embed all the functionality of csvjson in any web application with Flatfile. Auto-match columns, validate data fields, and provide an intuitive CSV import experience. This function is available as a npm package CSV stands for Comma Separated Values. Often used as an interchange data format to represent table records, one per line. CSV is plain text. The CSV format is documented in an RFC memo RFC-
軽é‡JSONパーサー『jqã€ã®ãƒ‰ã‚ュメント：『jq Manualã€ã‚’ã–ã£ãり日本語訳ã—ã¦ã¿ã¾ã—㟠| DevelopersIO
jq Manual jqã§ç°¡å˜JSONåŠ å·¥ ｜ Developers.IO jqコマンドãŒå®Ÿã¯é«˜æ€§èƒ½ã™ãŽã¦ãƒ“ビッãŸè©± - beatsync.net JSONを超絶ã«èªã¿ã‚„ã™ãã™ã‚‹ jq コマンド - WebAPIãƒãƒªãƒãƒªä½¿ã†or開発ã™ã‚‹äººå¿…é ˆ CLIã§JSONã®æ•´å½¢ã‚’ã™ã‚‹ - ( ꒪⌓꒪) ゆるよã‚日記 JSONå½¢å¼ã®æƒ…å ±ã‚’æ§˜ã€…ãªæ¡ä»¶ã‚„書å¼ã¨ã—ã¦æˆå½¢ã€ãƒ•ã‚£ãƒ«ã‚¿ãƒªãƒ³ã‚°ãƒ„ール『jqã€ã€‚上記関連エントリã§ç§ã‚‚ã“ã®ãƒ„ールã®å˜åœ¨ã‚’知る事ã«ãªã£ãŸã®ã§ã™ãŒã€ãƒ„ールã®ç°¡æ˜“ã•ãƒ»ä¾¿åˆ©ã•ã«æ„Ÿå‹•ã—ãªãŒã‚‰ç§ã‚‚ã¡ã‚‡ãã¡ã‚‡ã利用ã•ã›ã¦ã‚‚らã£ã¦ã„ã¾ã™ã€‚ ãã“ã§ã“ã®ã‚¨ãƒ³ãƒˆãƒªã§ã¯ã€jqå…¬å¼ãƒšãƒ¼ã‚¸ã«å±•é–‹ã•ã‚Œã¦ã„る利用ガイド・リファレンス的ãªä½ç½®ä»˜ã‘ã®ã€Žjq Manualã€ã‚’写経ãŒã¦ã‚‰ã–ã£ãり日本語訳ã—ã¦ã¿ã¾ã—ãŸã€‚ã–ã£ãり訳ãªã®ã§ã“ã®éƒ¨åˆ†ã®è¨³ãŠã‹ã—ã„・間é•ã£ã¦ã‚‹ç‰ã‚ã‚Šã¾ã—ãŸã‚‰å¾¡æŒ‡æ‘˜é ‚ã‘ã‚‹ã¨å¹¸ã„ã§ã™ã€‚例示ã•ã‚Œã¦ã„るサンプルコードも
ゼãƒã‹ã‚‰ä½œã‚ŠãªãŒã‚‰è¦šãˆã‚‹API Gateway環境構築 | DevelopersIO
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ã€AWS】Lambdaã®JSON入力ã¨ä»²è‰¯ãã™ã‚‹ï¼ˆPython版） - Qiita
{ "Reservations": [ { "OwnerId": "************", "ReservationId": "r-********", "Groups": [], "Instances": [ { "Monitoring": { "State": "disabled" }, "PublicDnsName": "ec2-*************.ap-northeast-1.compute.amazonaws.com", "State": { "Code": 16, "Name": "running" }, "EbsOptimized": false, "LaunchTime": "2016-03-08T08:25:51.000Z", "PublicIpAddress": "************", "PrivateIpAddress": "172.31.23.
ã€Ruby入門】 jsonã®æ‰±ã„æ–¹ã¾ã¨ã‚ ã€parse load generate to_json】 | ä¾ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒ–ãƒã‚°
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rubyã§yamlファイルã®è¨˜è¿°ã‚’出力ã—確èªã—ãŸã„時
require 'pp' require 'yaml' require 'json' require 'optparse' argv_options = ARGV.getopts('f:', 'file:') file_path = argv_options['f'] || argv_options['file'] yaml = YAML.load_file(file_path) puts JSON.pretty_generate(yaml) $ ruby yaml_to_json_print.rb -f sample.yml { "default": { "host": "10.0.0.1", "port": 8080, "content_type": "application/json", "account": { "name": "default", "password": "def
FutureHomeController
無料開放を終了ã—ã¾ã™ 2022å¹´5月13æ—¥ ç„¡æ–™API解放を終了ã—ã¾ã—ãŸã€‚ GCPã®ç„¡æ–™ãƒ—ランã§ã¯è¶³ã‚Šãªã„ã»ã©ã®ã‚¢ã‚¯ã‚»ã‚¹ãŒã‚ã‚Šã€èª²é‡‘ãŒç™ºç”Ÿã—ã¦ã„ãŸã®ã§ã€åœæ¢ã—ã¾ã™ã€‚ 有料ã§ç¶šã‘ãŸã„æ–¹ã¯ã€ä¸‹è¨˜ã®æœ‰å„Ÿãƒ—ランã¾ã§ã”連絡ãã ã•ã„。 ã“ã®ãƒšãƒ¼ã‚¸ç‰ã‚’スクレイピングã—ã¦ãƒ‡ãƒ¼ã‚¿ã‚’å–ã‚‹ã®ã¯ã”é æ…®ãã ã•ã„。 本æ¥ã®ç›®çš„ã§ã‚ã‚‹FHCã‹ã‚‰åˆ©ç”¨ã•ã‚Œã‚‹ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®æ–¹ã¯å¼•ã続ãç„¡æ–™ã§ã”利用ã§ãã¾ã™ã®ã§ã”安心ãã ã•ã„。 ã‚‚ã¨ã‚‚ã¨ã€FHCã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®æ–¹å‘ã‘ã«ä½œã£ãŸæ©Ÿèƒ½ã§ã€ä¾¿åˆ©ã ã‹ã‚‰ã¨ä¸€èˆ¬å…¬é–‹ã—ã¦ã„ã¾ã—ãŸãŒã€äºˆæƒ³ä»¥ä¸Šã«ã‚¢ã‚¯ã‚»ã‚¹ãŒã‚ã‚Šã€å®Ÿå®³ãŒå‡ºå§‹ã‚ãŸã®ã§ã€ä¸€èˆ¬å…¬é–‹ã‚’åœæ¢ã—ã¾ã™ã€‚ 引ã続ãAPIを利用ã•ã‚ŒãŸã„æ–¹ã¯ã€æœ‰å„Ÿãƒ—ランをãŠç”³è¾¼ã¿ãã ã•ã„。 有償プラン 月1万円程度ã®æœ‰å„Ÿã®å°‚用サーãƒã‚’作るã“ã¨ã‚‚ã§ãã¾ã™ã€‚ ã”希望ã®å ´åˆã¯ã€ãŠå•ã„åˆã‚ã›ãƒ•ã‚©ãƒ¼ãƒ よりã€ã”連絡ãã ã•ã„。 ãŠç´„æŸ é‰„é“comã«RSSã®åˆ©ç”¨ã«ã¤ã„ã¦è³ªå•ã•ã›ã¦ã„ãŸã ã„ãŸæ‰€
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File Format Benchmark - Avro, JSON, ORC & Parquet
File Format Benchmark - Avro, JSON, ORC & ParquetAI-enhanced description This document summarizes a benchmark study of file formats for Hadoop, including Avro, JSON, ORC, and Parquet. It found that ORC with zlib compression generally performed best for full table scans. However, Avro with Snappy compression worked better for datasets with many shared strings. The document recommends experimenting
Hiveã§JSONデータを処ç†ã™ã‚‹ã‚ã‚Œã“ã‚Œ(åˆç´šç·¨) - Qiita
{"name":"hoge","age":30,"city":"tokyo"} {"name":"huga","age":41,"city":"chiba"} {"name":"hige","age":26,"city":"kanagawa"} 世ã®ä¸çš„ã«ã¯fluentdã§é£›ã‚“ã§ãã‚‹ãƒã‚°ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆãŒjsonã ã£ãŸã‚Šã¨ã‹ã§ã€jsonå½¢å¼ã§ä¿å˜ã•ã‚ŒãŸãƒ‡ãƒ¼ã‚¿ã‚’Hiveã§é›†è¨ˆã—ãŸã„ã£ã¦ãƒ‹ãƒ¼ã‚ºã¯æ²¢å±±ã‚ã‚‹ã¿ãŸã„。例ã«æ¼ã‚Œãšå½“方もã—ãŸã„ã®ã§ã€ã‚„り方を調査。 Hiveã§ã¯ã„ãã¤ã‹ã‚„ã‚Šæ–¹ãŒã‚ã‚‹ã¿ãŸã„ãªã®ã§ã€ãã‚Œãžã‚Œã‚’ã¾ã¨ã‚ã¦ã¿ã‚‹ã€‚ 以é™ã®ã‚µãƒ³ãƒ—ルã¯json_tuple, get_json_objectを使ã†å ´åˆã®tableã¯ä¸Šè¨˜ã®ã‚ˆã†ãªjsonãŒ1è¡Œ1jsonã¨ã„ã†ä½“ã§ä¿å˜ã•ã‚Œã¦ã„ã‚‹ã“ã¨ã¨ã—ã€ä¸‹è¨˜ã®ã‚ˆã†ã«ç”Ÿæˆã•ã‚Œã¦ã„る事ã¨ã™ã‚‹ã€‚
JSONã«ãƒã‚¤ãƒŠãƒªãƒ‡ãƒ¼ã‚¿ - 檜山æ£å¹¸ã®ã‚マイラ飼育記 (ã¯ã¦ãªBlog)
「JSONスã‚ーマ属性ã¨ãã®é©ç”¨å¯¾è±¡ã®ä¸€è¦§ 2010年春・編ã€ã‹ã‚‰å¼•ç”¨ï¼š 僕ã¯ã€JSONã§ã‚‚Base64エンコードã®binaryåž‹ã‚’ãƒã‚¤ãƒ†ã‚£ãƒ–・サãƒãƒ¼ãƒˆã™ã¹ãã ã¨æ€ã£ã¦ã„ã¾ã™ã€‚XML Schema Part 2: Datatypes ã§ã¯ãƒã‚¤ãƒŠãƒªãƒ‡ãƒ¼ã‚¿ã‚’サãƒãƒ¼ãƒˆã—ã¦ã¾ã™ï¼ˆhttp://www.w3.org/TR/xmlschema-2/#base64Binary）。ãƒã‚¤ãƒŠãƒªãŒã‚ã‚Œã°ã€"format" : "image/gif" ã®ã‚ˆã†ãªã‚¹ã‚ーマ属性指定ã«ã‚‚æ„味をæŒãŸã›ã‚‰ã‚Œã¾ã™ã€‚ JSONã«ãƒã‚¤ãƒŠãƒªãƒ‡ãƒ¼ã‚¿ã‚’å°Žå…¥ã™ã‚‹ã¨ãã€æœ€åˆã«å•é¡Œã«ãªã‚‹ã®ã¯ã€Œé€šå¸¸ã®ï¼ˆã¾ã£ãŸãæ‹¡å¼µã—ã¦ãªã„）JSONã¸ã®ãƒžãƒ¼ã‚·ãƒ£ãƒªãƒ³ã‚°ã€ã§ã™ã€‚ JSONã«ãƒ¡ã‚¿ãƒ‡ãƒ¼ã‚¿ã‚„特殊ãªæ§‹æ–‡æ§‹æˆç´ を記述ã™ã‚‹ã¨ãã¯ã€ãƒ‰ãƒ«è¨˜å·ï¼ˆ'$'）ã§å§‹ã¾ã‚‹åå‰ã®ãƒ—ãƒãƒ‘ティを使ã†ã“ã¨ãŒã€ã‚る程度ã¯æ…£ä¾‹ã¨ãªã£ã¦ã„ã‚‹ã®ã§ã€ã“ã®æ–¹æ³•ã‚’使ã†ã“ã¨ã«ã—ã¾ã™ã€‚次ã®å½¢ã‚’ãƒã‚¤ãƒŠãƒª
File Format Benchmarks - Avro, JSON, ORC, & Parquet
File Format Benchmarks - Avro, JSON, ORC, & ParquetAI-enhanced description The document evaluates the performance of various file formats for Hadoop, including Avro, JSON, ORC, and Parquet, using real datasets to ascertain strengths and weaknesses. It provides benchmark analyses on data size, read performance, and compression effectiveness, concluding that JSON is less efficient for processing, wh
Sparkã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«é–¢ã™ã‚‹ãƒ¡ãƒ¢ - Qiita
Sparkを使ã£ãŸéš›ã«ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã§è€ƒæ…®ã—ãŸç‚¹ã®ãƒ¡ãƒ¢ã§ã™ã€‚ å‰æã¨ãªã‚‹ç’°å¢ƒ Spark1.4 元データã¯JSON データ形å¼ã¨åœ§ç¸®ã‚³ãƒ¼ãƒ‡ãƒƒã‚¯ データをParquetå½¢å¼ã§æ‰±ã† å…ƒã¨ãªã‚‹ãƒ‡ãƒ¼ã‚¿ã¯JSONå½¢å¼ã§ã™ãŒã€Parquetã®æ–¹ãŒåŠ¹çŽ‡çš„ã«æ‰±ãˆã‚‹ãŸã‚JSONã‚’Parquetã«å¤‰æ›ã—ã¾ã™ã€‚ å¿…è¦ãªãƒ‡ãƒ¼ã‚¿ã ã‘ã‚’Parquetã«ä¿å˜ã™ã‚‹ DataFrame#select()ã§å¿…è¦ãªã‚«ãƒ©ãƒ ã ã‘ã‚’é¸æŠžã—ã€è¨ˆç®—ã«ä¸è¦ãªãƒ‡ãƒ¼ã‚¿ã‚’å–り除ãã¾ã™ã€‚ Parquetã®åœ§ç¸®å½¢å¼ã«ã¯snappyを使用ã™ã‚‹ デフォルトã§ã¯Parquetã®åœ§ç¸®å½¢å¼ã¯gzipå½¢å¼ã§ã™ãŒã€snappyã‚’é¸æŠžã™ã‚‹ã“ã¨ã§é«˜é€Ÿãªåœ§ç¸®ãƒ»ä¼¸é•·ãŒè¡Œãˆã¾ã™ã€‚ (追記：2.0ã§ã¯snappyãŒãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã«ãªã£ã¦ã„ã¾ã™) コード例 sqlContext.setConf("spark.sql.parquet.compression.codec", "snap
Saving UTF-8 texts with json.dumps as UTF-8, not as a \u escape sequence
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json - jq: print key and value for each entry in an object - Stack Overflow
Convert list of collections to string - KNIME Analytics Platform - KNIME Community Forum
Json_lines codec plugin | Logstash Plugins
Maven Repository: org.json » json » 20160810
Querying JSON data using Hive
Download and install jsoup
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