Fixed bug which palo can't compiled by JDK 10, added the compile parameter CPPFLAGS of ncurses-6.0, prevent compilation error#214
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lide-reed merged 1 commit intoapache:masterfrom Sep 20, 2018
HappenLee:master
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Fixed bug which palo can't compiled by JDK 10, added the compile parameter CPPFLAGS of ncurses-6.0, prevent compilation error#214lide-reed merged 1 commit intoapache:masterfrom HappenLee:master
lide-reed merged 1 commit intoapache:masterfrom
HappenLee:master
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…ter CPPFLAGS of ncurses-6.0, prevent compilation error
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Doris team here is an open Pull Request |
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Yes, we already accepted this pull request on our private code repo. We are currently trying to find a better way to merge our private code to the apache repo, to avoid chaos on merging code. it may take a while. |
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Please discuss this process and structure on the dev list. I'd like to understand what the challenges are so that the solution worked out is the best. Keep in mind that the Baidu/palo repository was what was granted to the Apache Software Foundation and one task will be to make sure that all source files have all the proper headers, etc. |
lide-reed
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yiguolei
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Current multi-window plan generation has problem on the project sequence, for example: +--LogicalWindow ( windowExpressions=[avg(sum_sales#115) WindowSpec(...) AS `avg_monthly_sales`#116, rank() WindowSpec(...) AS `rn`#117], ...) and correspond physical plan is: +--PhysicalWindow[6572]@16 ( windowFrameGroup=(Funcs=[avg(sum_sales#115) WindowSpec(...) AS `avg_monthly_sales`#116], ... ) +--PhysicalWindow[6568]@29 ( windowFrameGroup=(Funcs=[rank() WindowSpec(...) AS `rn`#117], ...] ) If the final plan is generated as following: MultiCastDataSinks STREAM DATA SINK EXCHANGE ID: 20 HASH_PARTITIONED: rn[#208], i_brand[#202], cc_name[#203], i_category[#201] Before we eventually resolve the multi-window issue, we add a projection as following and force a mapping but this will not cover all potential problems. MultiCastDataSinks STREAM DATA SINK EXCHANGE ID: 20 HASH_PARTITIONED: rn[#219], i_brand[#213], cc_name[#214], i_category[#212] PROJECTIONS: i_category[#184], i_brand[#185], cc_name[#186], d_year[#187], d_moy[#188], sum_sales[#189], avg_monthly_sales[#191], rn[#190] PROJECTION TUPLE: 20
vinlee19
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Oct 7, 2023
…24912) Current multi-window plan generation has problem on the project sequence, for example: +--LogicalWindow ( windowExpressions=[avg(sum_sales#115) WindowSpec(...) AS `avg_monthly_sales`apache#116, rank() WindowSpec(...) AS `rn`apache#117], ...) and correspond physical plan is: +--PhysicalWindow[6572]@16 ( windowFrameGroup=(Funcs=[avg(sum_sales#115) WindowSpec(...) AS `avg_monthly_sales`apache#116], ... ) +--PhysicalWindow[6568]@29 ( windowFrameGroup=(Funcs=[rank() WindowSpec(...) AS `rn`apache#117], ...] ) If the final plan is generated as following: MultiCastDataSinks STREAM DATA SINK EXCHANGE ID: 20 HASH_PARTITIONED: rn[apache#208], i_brand[apache#202], cc_name[apache#203], i_category[apache#201] Before we eventually resolve the multi-window issue, we add a projection as following and force a mapping but this will not cover all potential problems. MultiCastDataSinks STREAM DATA SINK EXCHANGE ID: 20 HASH_PARTITIONED: rn[apache#219], i_brand[apache#213], cc_name[apache#214], i_category[apache#212] PROJECTIONS: i_category[apache#184], i_brand[apache#185], cc_name[apache#186], d_year[apache#187], d_moy[apache#188], sum_sales[apache#189], avg_monthly_sales[apache#191], rn[apache#190] PROJECTION TUPLE: 20
bobhan1
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Nov 14, 2024
GoGoWen
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Sep 26, 2025
* [JD][refactor] support doris to access jd lakehouse
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