Comments (5)
@zaleslaw it seems like there is some confusion regarding the term "vote from community". Can you please help me understand what it means? On another note, while using a library for data science and data engineering, I noticed the absence of analytical data stores such as BigQuery, ClickHouse, or Druid and obviously Pinot, I believe having access to such tools could greatly enhance the library's capabilities and make it more useful for data professionals.
from dataframe.
@gAmUssA thanks for the suggestion, we will wait a little bit for a vote from the community regarding this issue
from dataframe.
@zaleslaw could you give a background why specific implementation is required? Why generic jdbc isn't option?
from dataframe.
@gAmUssA I am not sure for Apache Pinot, but for 4 supported databases we have de-facto different implementations and known bugs for JDBC protocol implementation in type mapping. And we decided to be accurate and support and test type generation step-by-step
from dataframe.
@zaleslaw I'm open to contribute pinot support to Dataframe framework. Could you kindly point me to resources that will alow me to do it. Are there Compatibility tests available to validate database implementations?
from dataframe.
Related Issues (20)
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- Jupyter integration conflicts with variable type converters from other integrations. HOT 1
- Add ability to reference environment variable in ImportDataSchema HOT 1
- Make headers in KDoc smaller
- Support Kotlin Multiplatform Plugin for JVM only HOT 3
- K2 HOT 4
- Circular dependency on kspKotlin when used under Quarkus 3.9.3 HOT 3
- Comparing two data frame HOT 2
- Merge `KeyValueProperty` and `NameValuePair`
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- Make the DataFrame names consistent HOT 1
- Add separator selection for the `flatten(keepParentNameForColumns = true)` function
- Add to JDBC module ability to set up a testing H2 database with the specific dialect
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- rename{}.into{} broken after upgrade to 13.1 HOT 2
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