百度智能云

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          Data Warehouse

          Function Release Record

          Release time Feature Overview
          2020-12-15
        • Query performance is optimized (Join Reorder), query peformance by associating multiple tables has been improved for 100+times, and the memory consumption has been reduced for 5~10 times
        • 2020-11-25
        • Query push-down of VALUE column in UNIQUE table, query performance improved 2-100 times
        • Accelerate the reading of UNIQUE single version and multiple versons, reading performance has 20-40% increase than before
        • 2020-10-27
        • Palo UI was published, supporting logging in Web UI from console, quick connection to clusters and query
        • 2020-07-23
        • Support INTERSECT and EXCEPT operators
        • Support setting SQL grammer by group, can further reduce the complexity of SQL that programmed for data analysts.
        • 2020-05-19
        • Support automatic creation of partition through planned tasks, reduce the maintenance cost of partition operation for users
        • 2020-04-26
        • Support bitmap index, improve the query performance of Palo
        • Support Spark on Palo, support query of data stored in Palo through Spark
        • Support materialized view, and analysis of original detail data at any dimension
        • 2019-12-25
        • Support import Parquet file through broker
        • Support time zone, users can specify time zone when querying or loading
        • 2019-10-29
        • Reconstruct storage, support storage of files of more formats
        • Support joint operation of bitmap types and bitmaps
        • 2019-07-18
        • Support the joint query of tables in Palo on ES, Palo and ES, and more complex full text search and filter
        • 2019-06-02
        • Support regular import function, which automatically imports data from specified data source
        • Support UDF and UDAF
        • 2019-02-18
        • Support streaming import, import throughout at single node can reach 100MB/s
        • Introduce RocksDB to store the meta information of sharding, greatly reduce the random IO operations
        • 2018-09-28
        • Support local Join operation of data in multiple tables, reduce the delay of Join query
        • 2018-06-18
        • The compatibility with MySQL protocol was enhanced
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          Product Description