This is a rebase version of #11592. As task spec info is only needed when gcs create or start an actor, so we can remove it from actor table and save the serialization time and memory/network cost when gcs clients get actor infos from gcs.
As internal repository varies very much from the community. This pr just add some manual check with simple cherry pick. Welcome to comment first and at the meantime I'll see if there's any test case failed or some points were missed.
Combine `ParsedRuntimeEnv` and `RuntimeEnv` into `ray.runtime.RuntimeEnv`, details: #21495
- The `new RuntimeEnv` includes all external interfaces of `ParsedRuntimeEnv` and `old RuntimeEnv`.
- The `new RuntimeEnv` will be exposed directly to the user.
- example:
```python
runtime_env = ray.runtime_env.RuntimeEnv(working_dir="s3://workding_dir.zip",
pip=["requests"],
java_jars=["s3://jar1.zip"],
java_jvm_options=["-Dxxx=xxx"])
```
The existing Job info in the cluster snapshot uses the old definition of Job, which is a single Ray driver (a single `ray.init()` connection).
In the new Job Submission protocol, a Job just specifies an entrypoint which can be any shell command. As such a Job can have zero or multiple Ray drivers. This means we should add a new snapshot entry corresponding to new jobs. We'll leave the old snapshot in place for legacy jobs.
- Also fixes `get_all_jobs` by using the appropriate KV namespace, and stripping the job key KV prefix from the job ID. It wasn't working before.
- This PR also unifies the datatype used by the GET jobs/ endpoint to be the same as the one used by the new jobs cluster snapshot. For backwards compatibility, the `status` and `message` fields are preserved.
For public SDK APIs, change the import path from
```python
from ray.dashboard.modules.job.common import JobStatus, JobStatusInfo
from ray.dashboard.modules.job.sdk import JobSubmissionClient
```
to
```python
from ray.job_submission import JobStatus, JobSubmissionClient
```
`JobStatus`, `JobStatusInfo` and `JobSubmissionClient` were the only names referenced in the SDK doc so far, but we can add more later as they appear.
This is the second part of https://docs.google.com/document/d/12qP3x5uaqZSKS-A_kK0ylPOp0E02_l-deAbmm8YtdFw/edit#. After this PR, dashboard agents will fully work with minimal ray installation.
Note that this PR requires to introduce "aioredis", "frozenlist", and "aiosignal" to the minimal installation. These dependencies are very small (or will be removed soon), and including them to minimal makes thing very easy. Please see the below for the reasoning.
Currently, GCS KV client only has blocking API. Calling them from dashboard event loop can block other operations for many seconds, leading to failures such as taking too long (> 2min) to submit a job and making nightly tests fail (#21699). This PR offloads the blocking work to a separate thread. Implementing async GCS KV API will be done in the future.
## Why are these changes needed?
This is a part of redis removal. This PR remove redis kv in function table.
rpush related code is not updated in this PR.
## Related issue number
## Why are these changes needed?
This is part of redis removal project. In this PR all direct usage of redis got removed except function table.
Function table will be migrated in the next PR
## Related issue number
#19443
* show "unversioned" in actor metadata
* hash deployment names
* update test
* replace "Unversioned" with "None"
* bypass convert to camelCase for deployment names
* fix convert_case default to match previous setting
* lint
* replace deployment_name_hash with underscore
