{"id":110585,"date":"2026-09-29T02:24:45","date_gmt":"2026-09-28T18:24:45","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/110585.html"},"modified":"2026-09-29T02:24:45","modified_gmt":"2026-09-28T18:24:45","slug":"flink-%e4%b8%8e-apache-iceberg-%e6%b9%96%e4%bb%93%e4%b8%80%e4%bd%93%e5%ae%9e%e6%88%98%ef%bc%9a%e6%b5%81%e6%89%b9%e4%b8%80%e4%bd%93%e5%86%99%e5%85%a5%e4%b8%8e%e6%97%b6%e9%97%b4%e6%97%85%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/110585.html","title":{"rendered":"Flink \u4e0e Apache Iceberg \u6e56\u4ed3\u4e00\u4f53\u5b9e\u6218\uff1a\u6d41\u6279\u4e00\u4f53\u5199\u5165\u4e0e\u65f6\u95f4\u65c5\u884c\uff08Time Travel\uff09\u5386\u53f2\u56de\u6eaf"},"content":{"rendered":"<h2>Flink \u4e0e Apache Iceberg \u6e56\u4ed3\u4e00\u4f53\u5b9e\u6218&#xff1a;\u6d41\u6279\u4e00\u4f53\u5199\u5165\u4e0e\u65f6\u95f4\u65c5\u884c&#xff08;Time Travel&#xff09;\u5386\u53f2\u56de\u6eaf<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260928182443-6abab0ebc9c19.webp\" alt=\"\u5c01\u9762\u4fe1\u606f\u56fe\" \/><\/p>\n<p>\u5728\u73b0\u4ee3\u5927\u6570\u636e\u67b6\u6784\u4ece\u4f20\u7edf\u7684\u201cLambda \u67b6\u6784&#xff08;\u6d41\u6279\u5272\u88c2\u53cc\u94fe\u8def&#xff09;\u201d\u5411\u201c\u6d41\u6279\u4e00\u4f53\u6e56\u4ed3\u67b6\u6784&#xff08;Lakehouse Architecture&#xff09;\u201d\u5927\u8de8\u6b65\u6f14\u8fdb\u7684\u8fc7\u7a0b\u4e2d&#xff0c;Apache Iceberg \u4f5c\u4e3a\u65b0\u4e00\u4ee3\u5f00\u6e90\u6570\u636e\u6e56\u8868\u683c\u5f0f&#xff08;Table Format&#xff09;&#xff0c;\u6b63\u8fc5\u901f\u6210\u4e3a\u5168\u884c\u4e1a\u7684\u6e56\u4ed3\u5b58\u50a8\u4e8b\u5b9e\u6807\u51c6\u3002<\/p>\n<p>\u5728\u8fc7\u53bb\u4f20\u7edf\u7684 Hive \u6570\u4ed3\u4e2d&#xff0c;\u6570\u636e\u5de5\u7a0b\u5e08\u9971\u53d7\u4ee5\u4e0b\u4e09\u5927\u5386\u53f2\u7f3a\u9677\u7684\u6298\u78e8&#xff1a;<\/p>\n<li>\u65e0\u6cd5\u652f\u6301\u5b9e\u65f6\u6d41\u5f0f\u5c0f\u6587\u4ef6\u5e73\u6ed1\u5199\u5165&#xff1a;Flink \u5b9e\u65f6\u5199\u5165 Hive \u4f1a\u4ea7\u751f\u6570\u5341\u4e07\u4e2a\u5c0f\u6587\u4ef6\u6253\u7206 NameNode&#xff1b;<\/li>\n<li>\u7f3a\u4e4f ACID \u4e8b\u52a1\u9694\u79bb\u4fdd\u969c&#xff1a;\u591c\u95f4\u6279\u5904\u7406\u8986\u76d6\u66f4\u65b0\u67d0\u5206\u533a\u65f6&#xff0c;\u4e0b\u6e38\u6b63\u5728\u8bfb\u53d6\u7684\u62a5\u8868\u4f1a\u8bfb\u5230\u534a\u62c9\u5b50\u7684\u810f\u6570\u636e\u5f15\u53d1\u5d29\u6e83&#xff1b;<\/li>\n<li>\u65e0\u6cd5\u8fdb\u884c\u5386\u53f2\u5feb\u7167\u56de\u6eaf&#xff08;Time Travel&#xff09;&#xff1a;\u4e00\u65e6\u591c\u95f4 ETL \u8dd1\u9519\u4e86\u903b\u8f91\u8986\u76d6\u4e86\u6570\u636e&#xff0c;\u9664\u975e\u4ece\u51b7\u5907\u4efd\u6062\u590d&#xff0c;\u5426\u5219\u7269\u7406\u4e0a\u6839\u672c\u65e0\u6cd5\u8ffd\u6eaf\u201c\u6628\u5929\u4e0b\u5348 15:00 \u8be5\u8868\u7684\u6570\u636e\u957f\u4ec0\u4e48\u6837\u201d&#xff01;<\/li>\n<p>Apache Flink \u914d\u5408 Apache Iceberg \u5f7b\u5e95\u7ec8\u7ed3\u4e86\u6d41\u6279\u5272\u88c2&#xff1a;<\/p>\n<ul>\n<li>\u652f\u6301 Flink \u4ee5 \u79d2\u7ea7\u5fae\u6279\u8fde\u7eed\u5199\u5165 Iceberg \u8868&#xff0c;\u81ea\u52a8\u8fdb\u884c Snapshot \u5feb\u7167\u7ba1\u7406\u4e0e\u5143\u6570\u636e\u6f14\u5316&#xff1b;<\/li>\n<li>\u539f\u751f\u652f\u6301 \u65f6\u95f4\u65c5\u884c&#xff08;Time Travel \/ As of System_Time \/ As of Snapshot_Id&#xff09;&#xff0c;\u8ba9\u5206\u6790\u5e08\u80fd\u591f\u50cf\u7a7f\u68ad\u65f6\u7a7a\u4e00\u6837&#xff0c;\u77ac\u95f4\u56de\u6eaf\u81f3\u5386\u53f2\u4efb\u610f\u65f6\u523b\u7684\u8868\u5feb\u7167&#xff01;<\/li>\n<\/ul>\n<p>\u4eca\u5929\u6211\u4eec\u7cfb\u7edf\u62c6\u89e3 Flink &#043; Iceberg \u6e56\u4ed3\u4e00\u4f53\u5199\u5165\u673a\u5236\u4e0e\u65f6\u95f4\u65c5\u884c\u751f\u4ea7\u7ea7\u5b9e\u6218\u3002<\/p>\n<hr \/>\n<h3>Apache Iceberg \u5143\u6570\u636e\u6811\u4e0e\u5feb\u7167\u65f6\u95f4\u65c5\u884c\u62d3\u6251<\/h3>\n<p>&#043;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-&#043;<br \/>\n|                                    \u3010 Apache Iceberg \u5143\u6570\u636e\u6811\u4e0e\u5feb\u7167\u67b6\u6784 \u3011                          |<br \/>\n&#043;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-&#043;<br \/>\n| [ Iceberg \u8868\u5143\u6570\u636e\u6839\u6307\u9488: &#096;v3.metadata.json&#096; ]                                                     |<br \/>\n|                                \u2502                                                                   |<br \/>\n|                                \u251c\u2500\u2500\u25ba [ Snapshot 1 (\u5feb\u7167\u4e00: 2026-09-28 10:00) ] \u2500\u2500\u25ba (\u6307\u5411\u8001\u6570\u636e\u6587\u4ef6)  |<br \/>\n|                                \u251c\u2500\u2500\u25ba [ Snapshot 2 (\u5feb\u7167\u4e8c: 2026-09-28 14:00) ] \u2500\u2500\u25ba (\u8ffd\u52a0\u589e\u91cf\u6570\u636e)    |<br \/>\n|                                \u2514\u2500\u2500\u25ba [ Snapshot 3 (\u5feb\u7167\u4e09: 2026-09-28 18:00) ] \u2500\u2500\u25ba \u3010\u6700\u65b0\u5b9e\u65f6\u53ef\u89c1\u72b6\u6001\u3011|<br \/>\n&#043;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-&#043;<br \/>\n                                 \u2502<br \/>\n                                 \u25bc (\u65f6\u95f4\u65c5\u884c\u9ed1\u79d1\u6280 Time Travel \u67e5\u8be2)<br \/>\n&#043;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-&#043;<br \/>\n| SQL: &#096;SELECT * FROM iceberg_orders \/*&#043; OPTIONS(&#039;as-of-timestamp&#039;&#061;&#039;1789123456000&#039;) *\/&#096;              |<br \/>\n| \u6838\u5fc3\u673a\u7406&#xff1a;\u5f15\u64ce\u76f4\u63a5\u8df3\u8fc7 Snapshot 3&#xff0c;\u4ec5\u8bfb\u53d6 Snapshot 1 \u5bf9\u5e94\u7684\u5143\u6570\u636e Manifest \u6e05\u5355&#xff0c;0.1 \u79d2\u77ac\u65f6\u8fd8\u539f\u5386\u53f2\u65f6\u523b&#xff01;|<br \/>\n&#043;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-&#043;<\/p>\n<hr \/>\n<h3>\u751f\u4ea7\u7ea7\u5b9e\u6218\u4ee3\u7801&#xff1a;Flink SQL \u6d41\u5f0f\u5199\u5165 Iceberg \u6e56\u4ed3\u8868<\/h3>\n<p>&#8212; 1. \u521b\u5efa Iceberg Catalog \u5143\u6570\u636e\u7f16\u76ee<br \/>\nCREATE CATALOG iceberg_catalog WITH (<br \/>\n    &#039;type&#039; &#061; &#039;iceberg&#039;,<br \/>\n    &#039;catalog-type&#039; &#061; &#039;hive&#039;,<br \/>\n    &#039;uri&#039; &#061; &#039;thrift:\/\/hive-metastore.internal:9083&#039;,<br \/>\n    &#039;warehouse&#039; &#061; &#039;hdfs:\/\/namenode.internal:8020\/iceberg\/warehouse&#039;<br \/>\n);<\/p>\n<p>&#8212; 2. \u521b\u5efa Iceberg \u6838\u5fc3\u4ea4\u6613\u6e56\u4ed3\u8868 (\u914d\u7f6e Hidden Partitioning \u9690\u85cf\u5206\u533a\u4e0e\u81ea\u52a8\u5408\u5e76\u53c2\u6570)<br \/>\nCREATE TABLE iceberg_catalog.dw_lake.dwd_trade_orders_iceberg (<br \/>\n    order_id        BIGINT,<br \/>\n    user_id         BIGINT,<br \/>\n    pay_amount      DECIMAL(10,2),<br \/>\n    order_time      TIMESTAMP(3),<br \/>\n    PRIMARY KEY (order_id) NOT ENFORCED<br \/>\n) PARTITIONED BY (days(order_time)) &#8212; \u6838\u5fc3&#xff1a;Iceberg \u9690\u85cf\u5206\u533a\u673a\u5236&#xff0c;\u65e0\u9700\u624b\u52a8\u683c\u5f0f\u5316 dt \u5b57\u7b26\u4e32&#xff01;<br \/>\nWITH (<br \/>\n    &#039;format-version&#039; &#061; &#039;2&#039;,                          &#8212; \u5f00\u542f V2 \u683c\u5f0f (\u652f\u6301 Row-Level Upsert \u884c\u7ea7\u66f4\u65b0)<br \/>\n    &#039;write.upsert.enabled&#039; &#061; &#039;true&#039;,                 &#8212; \u5f00\u542f\u5b9e\u65f6\u4e3b\u952e Upsert \u8986\u76d6<br \/>\n    &#039;write.parquet.compression-codec&#039; &#061; &#039;zstd&#039;,      &#8212; \u91c7\u7528\u9ad8\u6548 ZSTD \u538b\u7f29\u7b97\u6cd5<br \/>\n    &#039;commit.retry.num-retries&#039; &#061; &#039;10&#039;<br \/>\n);<\/p>\n<p>&#8212; 3. Flink \u5b9e\u65f6\u65e0\u754c\u6d41\u5199\u5165 Iceberg (\u6bcf 30 \u79d2\u89e6\u53d1\u4e00\u6b21\u5feb\u7167 Commit)<br \/>\nINSERT INTO iceberg_catalog.dw_lake.dwd_trade_orders_iceberg<br \/>\nSELECT<br \/>\n    order_id,<br \/>\n    user_id,<br \/>\n    pay_amount,<br \/>\n    order_time<br \/>\nFROM kafka_orders_source;<\/p>\n<hr \/>\n<h3>\u751f\u4ea7\u7ea7\u5b9e\u6218\u4e8c&#xff1a;\u57fa\u4e8e\u65f6\u95f4\u65c5\u884c&#xff08;Time Travel&#xff09;\u7684\u5386\u53f2\u6570\u636e\u5bf9\u8d26\u4e0e\u56de\u6eda<\/h3>\n<p>\u5f53\u591c\u95f4 22:00 \u53d1\u73b0\u6570\u636e\u51fa\u73b0\u5f02\u5e38\u3001\u9700\u8981\u56de\u6eaf\u6bd4\u5bf9 \u201c\u4eca\u5929\u4e2d\u5348 12:00\u201d \u7684\u5386\u53f2\u5feb\u7167\u65f6&#xff1a;<\/p>\n<p>&#8212; \u65b9\u5f0f 1&#xff1a;\u57fa\u4e8e\u7cbe\u786e\u65f6\u95f4\u6233 (Timestamp As of) \u7a7f\u68ad\u65f6\u7a7a\u67e5\u8be2<br \/>\nSELECT<br \/>\n    COUNT(order_id) AS orders_at_noon,<br \/>\n    SUM(pay_amount) AS gmv_at_noon<br \/>\nFROM iceberg_catalog.dw_lake.dwd_trade_orders_iceberg<br \/>\n\/*&#043; OPTIONS(&#039;as-of-timestamp&#039;&#061;&#039;1789135200000&#039;) *\/ &#8212; 2026-09-28 12:00:00 \u65f6\u95f4\u6233<br \/>\nWHERE order_time &gt;&#061; &#039;2026-09-28 00:00:00&#039;;<\/p>\n<p>&#8212; \u65b9\u5f0f 2&#xff1a;\u57fa\u4e8e\u7279\u5b9a\u5feb\u7167\u7248\u672c\u53f7 (Snapshot ID As of) \u8fdb\u884c\u5168\u94fe\u8def\u5ba1\u8ba1\u5bf9\u8d26<br \/>\nSELECT<br \/>\n    *<br \/>\nFROM iceberg_catalog.dw_lake.dwd_trade_orders_iceberg<br \/>\n\/*&#043; OPTIONS(&#039;snapshot-id&#039;&#061;&#039;5829104928172910482&#039;) *\/;<\/p>\n<hr \/>\n<h3>\u751f\u4ea7\u843d\u5730\u7684\u4e09\u6761\u6838\u5fc3\u7ea2\u7ebf<\/h3>\n<li>\u914d\u7f6e\u540e\u53f0\u5c0f\u6587\u4ef6\u5408\u5e76\u670d\u52a1&#xff08;Compaction Action&#xff09;&#xff1a;\u867d\u7136 Flink \u5199\u5165 Iceberg \u751f\u6210\u4e86\u5143\u6570\u636e\u5feb\u7167&#xff0c;\u4f46\u9891\u7e41\u7684\u5fae\u6279\u5199\u5165\u4f9d\u7136\u4f1a\u4ea7\u751f\u8f83\u591a Data Files&#xff1b;\u5fc5\u987b\u914d\u7f6e Spark\/Flink \u5b9a\u671f\u8fd0\u884c rewriteDataFiles() \u89e6\u53d1\u5f02\u6b65\u5c0f\u6587\u4ef6\u5408\u5e76&#xff08;Merge-on-Read Compaction&#xff09;\u3002<\/li>\n<li>\u5b9a\u671f\u6e05\u7406\u8fc7\u671f\u5feb\u7167&#xff08;Expire Snapshots Action&#xff09;&#xff1a;\u5feb\u7167\u4fdd\u7559\u5386\u53f2\u6570\u636e\u6587\u4ef6&#xff0c;\u82e5\u4e0d\u6e05\u7406\u4f1a\u5bfc\u81f4\u7269\u7406\u5b58\u50a8\u6301\u7eed\u81a8\u80c0&#xff1b;\u914d\u7f6e\u7b56\u7565\u4ec5\u4fdd\u7559\u6700\u8fd1 7 \u5929\u7684\u5feb\u7167&#xff1a;expireSnapshots().olderThan(now &#8211; 7 days)&#xff0c;\u81ea\u52a8\u7269\u7406\u64e6\u9664\u65e0\u7528\u5386\u53f2\u6587\u4ef6\u3002<\/li>\n<li>\u5f00\u542f\u5168\u94fe\u8def\u4e8b\u52a1\u6027\u5feb\u7167\u63d0\u4ea4&#xff08;Commit on Checkpoint&#xff09;&#xff1a;Iceberg \u7684\u5feb\u7167\u63d0\u4ea4\u4e0e Flink \u7684 Checkpoint \u4e25\u683c\u7ed1\u5b9a&#xff1b;\u5fc5\u987b\u786e\u4fdd Flink Checkpoint \u6210\u529f\u5b8c\u6210\u540e\u624d\u53d1\u8d77 Iceberg Commit&#xff0c;\u675c\u7edd\u5b64\u7acb\u6587\u4ef6\u7684\u4ea7\u751f\u3002<\/li>\n","protected":false},"excerpt":{"rendered":"<p>Flink \u4e0e Apache Iceberg \u6e56\u4ed3\u4e00\u4f53\u5b9e\u6218&#xff1a;\u6d41\u6279\u4e00\u4f53\u5199\u5165\u4e0e\u65f6\u95f4\u65c5\u884c&#xff08;Time Travel&#xff09;\u5386\u53f2\u56de\u6eaf\u5728\u73b0\u4ee3\u5927\u6570\u636e\u67b6\u6784\u4ece\u4f20\u7edf\u7684\u201cLambda \u67b6\u6784&#xff08;\u6d41\u6279\u5272\u88c2\u53cc\u94fe\u8def&#xff09;\u201d\u5411\u201c\u6d41\u6279\u4e00\u4f53\u6e56\u4ed3\u67b6\u6784&#xff08;Lakehouse Architecture&#xff09;\u201d\u5927\u8de8\u6b65\u6f14\u8fdb\u7684\u8fc7\u7a0b\u4e2d&#xff0c;Apache Iceberg \u4f5c\u4e3a\u65b0\u4e00\u4ee3\u5f00\u6e90\u6570\u636e\u6e56\u8868\u683c\u5f0f&#xff08;Table Format&amp;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[66,81,50,292,51],"topic":[],"class_list":["post-110585","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai","tag-python","tag-50","tag-292","tag-51"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - 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