Guys,
Right, first option is the way to go. Options 2 and 3 are surrogates
that do not free you from concept of cache but rather allow you to
obtain one.
I believe in near future we'll propose public API for cacheless queries.
- Alex
2018-02-01 19:38 GMT+03:00 Valentin Kulichenko :
> Nikolay,
>
Nikolay,
I believe the first option is the way to go. However, I'd also like to hear
from other community members.
Vladimir, Alex P, can you comment on this? I know we currently don't have
public API to execute DDL statement without having a cache. However, looks
like we use private API of GridQu
Hello, guys.
I working on support of saving Spark DataFrame to Ignite [1].
I want to execute "DROP TABLE XXX" query.
To execute some SQL query in regulary way one need some cache.
That cache has to differs from table cache to execute "DROP TABLE" successfully.
I founded 3 different ways to execu
