Open morningman opened 5 months ago
Currently, I have completed the development and testing of the JDBC catalog for Apache Druid. If possible, I would like to contribute this feature. PR:https://github.com/apache/doris/pull/27270
Flink-connector-doris will use FlinkCDC to synchronize multiple tables or the entire database from MongoDB and DB2 to Doris.
typo "Mutlt cluster support" => "Multi cluster support"
Looking forward to version 2.1
Looking forward to version 2.1
me too
Walking with innovators
Support generating columns
Currently, I have completed the development and testing of the JDBC catalog for Apache Druid. If possible, I would like to contribute this feature. PR:#27270
HI @vinlee19 , thanks for your contribution. I'm not sure if it is suitable for Druid to using JDBC as data connector? I'm concerning the performance issue. But indeed Trino is using JDBC connect Druid. I will take a look at this feature, and could you please also provide test cases (eg. druid docker compose)?
Looking forward to version 2.1
me too
Looking forward to version 2.1
me too
why there is no 'Support building mv from Paimon table'
BI tools compatibility
Can it be adapted to https://github.com/devlive-community/datacap?
why there is no 'Support building mv from Paimon table'
It will be supported
BI tools compatibility
Can it be adapted to https://github.com/devlive-community/datacap? Hi @qianmoQ, I am not familiar with datacap, but you are very welcome to helping Doris adapt to it. I saw the Doris is on the log wall, maybe you can post a blog on Doris website about how to connect to Doris using datacap?
Support transactional multi table DELETE INSERT for adapting aggregate tables in dbt's Incremental models https://docs.getdbt.com/docs/build/incremental-models
Look forward to supporting DataGrip and kettle!
The correct url for async-materialized-view
item is as follows:
https://doris.apache.org/docs/query/view-materialized-view/async-materialized-view
binlog,binlog,binlog!
Which version of Doris is preparing to support DB2?
Roadmap 2023 Roadmap 2022
Separation of Storage and Computation
Async Materialized View
Build materialized view
REPLACE
operationTransparent Rewriting
Materialized view management
Semi Structure Data Analysis
Inverted Index
VARIANT data type
VARIANT
data typeQuery Optimizer
Basic framework
Planning quality
DataLake Analysis
Support more file format
Support more lake format
Trino Connector compatibility
Datalake write back
INSERT OVERWRITE
INSERT
Enhanced JDBC Catalog
Enhanced file analysis
Enhanced file cache
Integrate with Apache Ranger
SQL dialect support
Query Processing
Storage Engine
INSERT INTO
MERGE INTO
CLUSTER BY
Ecosystem & Tools