SVL_S3QUERY - Amazon Redshift
Use the SVL_S3QUERY view to get details about Amazon Redshift Spectrum queries at the segment and node slice level. SVL_S3QUERY is visible to all users. Superusers can see all rows; regular users can see only their own data. For more information, see Visibility of data in system tables and views. SVL_S3QUERY only contains queries run on main clusters. It doesn't contain queries run on concurrency
SVL_S3LOG - Amazon Redshift
Use the SVL_S3LOG view to get details about Amazon Redshift Spectrum queries at the segment and node slice level. SVL_S3LOG is visible to all users. Superusers can see all rows; regular users can see only their own data. For more information, see Visibility of data in system tables and views. SVL_S3LOG only contains queries run on main clusters. It doesn't contain queries run on concurrency scalin
Query troubleshooting in Amazon Redshift Spectrum - Amazon Redshift
This topic is a reference for common issues you might encounter with Amazon Redshift Spectrum queries. To view errors generated by Redshift Spectrum queries, query the SVL_S3LOG system table. Retries exceeded If an Amazon Redshift Spectrum request times out, the request is canceled and resubmitted. After five failed retries, the query fails with the following error. error: Spectrum Scan Error: Ret
System tables and views reference - Amazon Redshift
Amazon Redshift has many system tables and views that contain information about how the system is functioning. You can query these system tables and views the same way that you would query any other database tables. This section shows some sample system table queries and explains: How different types of system tables and views are generated What types of information you can obtain from these table
External tables for Redshift Spectrum - Amazon Redshift
This topic describes how to create and use external tables with Redshift Spectrum. External tables are tables that you use as references to access data outside your Amazon Redshift cluster. These tables contain metadata about the external data that Redshift Spectrum reads. You create an external table in an external schema. To create external tables, you must be the owner of the external schema or
AWS Solutions Architect ブãƒã‚°
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AWS Black Belt Online Seminar 2017 Amazon Redshift Update æœ€è¿‘è¿½åŠ ã•ã‚ŒãŸæ–°æ©Ÿèƒ½ã¨â€¦
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PG_CANCEL_BACKEND - Amazon Redshift
pid ã‚ャンセルã™ã‚‹ã‚¯ã‚¨ãƒªã®ãƒ—ãƒã‚»ã‚¹ ID (PID)。クエリ ID を指定ã—ã¦ã‚¯ã‚¨ãƒªã‚’ã‚ャンセルã™ã‚‹ã“ã¨ã¯ã§ãã¾ã›ã‚“。クエリã®ãƒ—ãƒã‚»ã‚¹ ID を指定ã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚INTEGER 値ã¯å¿…é ˆã§ã™ã€‚ 戻り型 ãªã— 使用ã«é–¢ã™ã‚‹æ³¨æ„äº‹é … 複数ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã®ã‚¯ã‚¨ãƒªãŒåŒã˜ãƒ†ãƒ¼ãƒ–ルã®ãƒãƒƒã‚¯ã‚’ä¿æŒã—ã¦ã„ã‚‹å ´åˆã€PG_TERMINATE_BACKEND関数を使用ã—ã¦ã‚»ãƒƒã‚·ãƒ§ãƒ³ã® 1 ã¤ã‚’終了ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ã“ã‚Œã«ã‚ˆã‚Šã€çµ‚了ã—ãŸã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ç¾åœ¨å®Ÿè¡Œä¸ã®ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ãŒã‚ã‚Œã°ã€ãã®ã™ã¹ã¦ã®ãƒãƒƒã‚¯ãŒå¼·åˆ¶çš„ã«è§£æ”¾ã•ã‚Œã€ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ãŒãƒãƒ¼ãƒ«ãƒãƒƒã‚¯ã•ã‚Œã¾ã™ã€‚PG__LOCKS ã‚«ã‚¿ãƒã‚°ãƒ†ãƒ¼ãƒ–ルã«å¯¾ã—ã¦ã‚¯ã‚¨ãƒªã‚’実行ã—ã€ç¾åœ¨ä¿æŒã—ã¦ã„ã‚‹ãƒãƒƒã‚¯ã‚’表示ã—ã¾ã™ã€‚トランザクションブãƒãƒƒã‚¯ (BEGIN … END) 内ã«ã‚ã‚‹ãŸã‚クエリをã‚ャンセルã§ããªã„å ´åˆã€PG_TERMINATE_BACKEND 関数を使用
PG_TERMINATE_BACKEND - Amazon Redshift
セッションを終了ã—ã¾ã™ã€‚ユーザー自身ãŒæ‰€æœ‰ã™ã‚‹ã‚»ãƒƒã‚·ãƒ§ãƒ³ã‚’終了ã§ãã¾ã™ã€‚スーパーユーザーã¯ã©ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ã‚‚終了ã§ãã¾ã™ã€‚ 構文 戻り型 ãªã— 使用ã«é–¢ã™ã‚‹æ³¨æ„äº‹é … åŒæ™‚接続ã®åˆ¶é™ã«è¿‘ã¥ã„ã¦ã„ã‚‹å ´åˆã€PG_TERMINATE_BACKEND を使用ã—ã¦ã‚¢ã‚¤ãƒ‰ãƒ«çŠ¶æ…‹ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã‚’終了ã—ã€æŽ¥ç¶šã‚’解放ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚詳細ã«ã¤ã„ã¦ã¯ã€Amazon Redshift ã«ãŠã‘る制é™ã‚’å‚ç…§ã—ã¦ãã ã•ã„。 複数ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã®ã‚¯ã‚¨ãƒªãŒåŒã˜ãƒ†ãƒ¼ãƒ–ルã®ãƒãƒƒã‚¯ã‚’ä¿æŒã—ã¦ã„ã‚‹å ´åˆã€PG_TERMINATE_BACKEND を使用ã—ã¦ã‚»ãƒƒã‚·ãƒ§ãƒ³ã® 1 ã¤ã‚’終了ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ã“ã‚Œã«ã‚ˆã‚Šã€çµ‚了ã—ãŸã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ç¾åœ¨å®Ÿè¡Œä¸ã®ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ãŒã‚ã‚Œã°ã€ãã®ã™ã¹ã¦ã®ãƒãƒƒã‚¯ãŒå¼·åˆ¶çš„ã«è§£æ”¾ã•ã‚Œã€ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ãŒãƒãƒ¼ãƒ«ãƒãƒƒã‚¯ã•ã‚Œã¾ã™ã€‚PG_LOCKS ã‚«ã‚¿ãƒã‚°ãƒ†ãƒ¼ãƒ–ルã«å¯¾ã—ã¦ã‚¯ã‚¨ãƒªã‚’実行ã—ã€ç¾åœ¨ä¿æŒã—ã¦ã„ã‚‹ãƒãƒƒã‚¯ã‚’表示ã—ã¾
SVV_TRANSACTIONS - Amazon Redshift
select * from svv_transactions; txn_ lockable_ owner | txn_db | xid | pid | txn_start | lock_mode | object_type | relation | granted -------+--------+--------+-------+----------------------------+---------------------+----------------+----------+--------- root | dev | 438484 | 22223 | 2016-03-02 18:42:18.862254 | AccessShareLock | relation | 100068 | t root | dev | 438484 | 22223 | 2016-03-02 18:4
Amazon Redshift Spectrum 12 ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティス | Amazon Web Services
Amazon Web Services ブãƒã‚° Amazon Redshift Spectrum 12 ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティス 2019/7/22 ã«ä¸€éƒ¨å†…容を更新ã—ã¾ã—ãŸï¼Ž Amazon Redshift Spectrum を使ã†ã“ã¨ã§ã€Amazon S3 ã«ç½®ã‹ã‚ŒãŸãƒ‡ãƒ¼ã‚¿ã«å¯¾ã—㦠Amazon Redshift ã® SQL クエリを走らã›ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ã¤ã¾ã‚Š Redshift Spectrum ã«ã‚ˆã£ã¦ã€ãƒ‡ãƒ¼ã‚¿ã‚¦ã‚§ã‚¢ãƒã‚¦ã‚¹ã®ãƒãƒ¼ã‚«ãƒ«ãƒ‡ã‚£ã‚¹ã‚¯å†…ã«ä¿å˜ã•ã‚ŒãŸãƒ‡ãƒ¼ã‚¿ä»¥å¤–ã«å¯¾ã—ã¦ã‚‚ã€Redshift ã®åˆ†æžã‚’æ‹¡å¼µã§ãるよã†ã«ãªã‚‹ã®ã§ã™ã€‚S3 㮠“データレイク†ã«è²¯ã¾ã£ãŸå¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã«å¯¾ã—ã¦ã€é¢å€’ã§æ™‚é–“ã®ã‹ã‹ã‚‹æŠ½å‡ºãƒ»å¤‰æ›ãƒ»ãƒãƒ¼ãƒ‰ï¼ˆETL）処ç†ã‚’è¡Œã†ã“ã¨ãªãã€ã‚¯ã‚¨ãƒªã‚’投ã’ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚Redshift Spectrum ã¯æ´—ç·´ã•ã‚ŒãŸã‚¯ã‚¨ãƒªæœ€é©åŒ–を用ã„ã¦ã€æ•°åƒã‚‚ã®ãƒŽãƒ¼ãƒ‰ã«ã¾ã§ã‚¹ã‚±ãƒ¼ãƒ«ã—ã¦é«˜
Best Practices for Amazon Redshift Spectrum | Amazon Web Services
AWS Big Data Blog Best Practices for Amazon Redshift Spectrum November 2022: This post was reviewed and updated for accuracy. Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries on data that is stored in Amazon Simple Storage Service (Amazon S3). With Amazon Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond the data that is stored natively in Amazon
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ï¼»é€Ÿå ±ï¼½ã€ŒAmazon Redshift Spectrumã€ç™ºè¡¨ã€‚Amazon S3ã«ãƒ‡ãƒ¼ã‚¿ã‚’ä¿å˜ã—ãŸã¾ã¾è¤‡é›‘ãªã‚¯ã‚¨ãƒªã‚’高速ã§å®Ÿè¡Œå¯èƒ½ã«ã€‚AWS Summit 2017 San Francisco Amazon Web Servicesã¯ã€ã‚µãƒ³ãƒ•ãƒ©ãƒ³ã‚·ã‚¹ã‚³ã§ã‚¤ãƒ™ãƒ³ãƒˆã€ŒAWS Summit 2017 San Franciscoã€ã‚’開催。データウェアãƒã‚¦ã‚¹ã®æ–°ã‚µãƒ¼ãƒ“ス「Amazon Redshift Spectrumã€ã‚’発表ã—ã¾ã—ãŸã€‚ Amazon S3ã«ãƒ‡ãƒ¼ã‚¿ã‚’ä¿å˜ã—ãŸã¾ã¾ãƒ‡ãƒ¼ã‚¿ã‚¦ã‚§ã‚¢ãƒã‚¦ã‚¹ã§åˆ†æžå¯èƒ½ Amazon.com CTOã®Werner Vogelsæ°ã€‚ 多ãã®é¡§å®¢ã§ã€ãƒšã‚¿ãƒã‚¤ãƒˆã‹ã‚‰å¤šã„å ´åˆã«ã¯ã‚¨ã‚¯ã‚µãƒã‚¤ãƒˆã‚¯ãƒ©ã‚¹ã®ç”Ÿãƒ‡ãƒ¼ã‚¿ãŒAmazon S3ã«ä¿å˜ã•ã‚Œã¦ãŠã‚Šã€ã“れをAmazon Redshiftã¸å–り込むã®ã¯æ™‚間やコストã®åˆ¶ç´„ã§é›£ã—ã„ã¨è€ƒãˆã‚‰ã‚Œã¦ã„ã‚‹ã¨ã€‚ ãã“ã§ã€ŒAmazon Red
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Webinar on Deep Dive and Best Practices for Amazon Redshift - YouTube
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