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币安官方中文群 - Telegram Kelompok:2021-6-10 · 好棒 🌈 羊毛超级搜 频道内容包含： 淘宝内部券，淘宝bug商品，话费，红包，流量，京东拆单，软件，0撸实物等有价值信息！ 破解 电影 谷歌 问题联系 #好棒的羊王 @haobangdada 主频道 @pojieapp 交流群 @dajiajia 淘宝直播频道 @tbzhibo 淘宝优惠卷自助群 ... Iceberg adds tables to Presto and Spark that use a high-performance format that works just like a SQL table.
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Iceberg avoids unpleasant surprises. Schema evolution works and won’t inadvertently un-delete data. Users don’t need to know about partitioning to get fast queries.
- Schema evolution supports add, drop, update, or rename, and has no side-effects
- Hidden partitioning prevents user mistakes that cause silently incorrect results or extremely slow queries
- Partition layout evolution can update the layout of a table as data volume or query patterns change
- Time travel enables reproducible queries that use exactly the same table snapshot, or lets users easily examine changes
- Version rollback allows users to quickly correct problems by resetting tables to a good state
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Iceberg was built for huge tables. Iceberg is used in production where a single table can contain tens of petabytes of data and even these huge tables can be read without a distributed SQL engine.
- vmess节点和ss – a distributed SQL engine isn’t needed to read a table or find files
- Advanced filtering – data files are pruned with partition and column-level stats, using table metadata
Iceberg was designed to solve correctness problems in eventually-consistent cloud object stores.
- vmess节点订阅 and reduces NN congestion when in HDFS, by avoiding listing and renames
- Serializable isolation – table changes are atomic and readers never see partial or uncommitted changes
- Multiple concurrent writers use optimistic concurrency and will retry to ensure that compatible updates succeed, even when writes conflict
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Iceberg has been designed and developed to be an open community standard with a specification to ensure compatibility across languages and implementations.
Apache Iceberg is open source, and is developed at the Apache Software Foundation.