Comments (3)
Internal tables should be using a separate executor. e.g., InternalTableExecutor
, with different endpoints of our system (e.g., compactor, query engine, etc.) providing get_statistics(&self) -> DataChunk
API to fetch the content of tables.
from risinglight.
... maybe our first internal table could be contributor list
?
from risinglight.
I'm wondering how to maintain internal tables..
I'm considering a TableType
for internal tables. For example, contributor list
can be generated in scripts and passed by env!
, so it is more like a memory table (or just use InMemoryTable
directly). But the problem is that each storage engine is bound to its TableType
, so I cannot use an InMemoryTable
inside secondary
engine. If we instead implement internal tables differently for each engine, it is not elegant and maybe is inproper (e.g., contributor list
doesn't need to be stored on disk).
Another idea is to create a separate engine for internal tables, but it seems that we can only use one engine currently?
from risinglight.
Related Issues (20)
- executor: inter-operator parallelism HOT 2
- sql: support subquery HOT 2
- api: support JDBC HOT 2
- api: support Postgres wire protocol HOT 1
- Regarding setting up rust toolchain in development guide HOT 1
- executor: improve the performance of hash join and group by aggregation HOT 1
- perf: improve the performance of TPC-H Q9 HOT 5
- Tracking: support ClickBench
- type: support TIMESTAMP HOT 1
- perf: store small decimal values as int HOT 1
- expr: avoid div by zero error when vectorization HOT 2
- expr: explicit SIMD HOT 7
- optimizer: push any filter down to storage HOT 3
- sqllogictest: `filter.slt` duplicate primary key HOT 1
- bug: header seems to be None all the time HOT 2
- explain: improve projection explain HOT 2
- `select *` panic in subquery HOT 4
- feat: support streaming queries HOT 2
- optimizer: filter scan rule HOT 2
- rlslngllgt -> risinglight
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from risinglight.