Older pending records (created before app_name was required) may not have the field. If such a record exists in the date-sharded pending store, any operation that loads the store fails Pydantic validation and blocks prepare/list/get/cancel. Make app_name optional with default None on the persistence model while keeping it required in PrepareSubmitJobRequest, so new submissions still must provide it but old records can be loaded and cancelled.
108 lines
3.1 KiB
Python
108 lines
3.1 KiB
Python
# coding=utf-8
|
|
"""
|
|
@Time :2026/6/24
|
|
@Author :tao.chen
|
|
"""
|
|
from datetime import datetime
|
|
|
|
from pydantic import BaseModel, Field, field_validator
|
|
|
|
|
|
class Job(BaseModel):
|
|
job_id: str
|
|
application_id: str
|
|
script_path: str
|
|
queue: str
|
|
submit_time: datetime
|
|
connection: str
|
|
yarn_rm_url: str | None = None
|
|
|
|
|
|
class JobStatus(BaseModel):
|
|
application_id: str
|
|
state: str
|
|
raw: str = Field(default="")
|
|
|
|
|
|
class JobResult(BaseModel):
|
|
application_id: str
|
|
state: str
|
|
final_status: str | None = None
|
|
diagnostics: str | None = None
|
|
tracking_url: str | None = None
|
|
started_time: int | None = None
|
|
finished_time: int | None = None
|
|
|
|
|
|
class SubmitResult(BaseModel):
|
|
job_id: str
|
|
application_id: str
|
|
tracking_url: str | None = None
|
|
|
|
|
|
class Connection(BaseModel):
|
|
name: str
|
|
# Defaults to "yarn" because that's the literal string spark-submit wants
|
|
# for --master when targeting YARN. Override for Standalone (spark://...),
|
|
# Kubernetes (k8s://...), or local mode.
|
|
master: str = "yarn"
|
|
deploy_mode: str = "cluster"
|
|
yarn_rm_url: str | None = None
|
|
spark_conf: dict[str, str] = Field(default_factory=dict)
|
|
# None means "fall back to Settings.ssl_verify_default". Explicit True/False
|
|
# overrides the global default for this connection.
|
|
ssl_verify: bool | None = None
|
|
ssl_ca_bundle: str | None = None
|
|
# Authentication for YARN REST calls.
|
|
auth_type: str = "none" # "none" | "simple" | "basic" | "kerberos"
|
|
auth_user: str | None = None
|
|
auth_password: str | None = None
|
|
# Display/audit only for kerberos; actual SPNEGO uses the system cache.
|
|
auth_principal: str | None = None
|
|
auth_keytab: str | None = None
|
|
|
|
@field_validator("master")
|
|
@classmethod
|
|
def _check_master(cls, v: str) -> str:
|
|
"""Catch common typos like 'yarn-cluster' or 'http://...'. """
|
|
if v == "yarn":
|
|
return v
|
|
if v.startswith(("spark://", "k8s://", "mesos://", "local")):
|
|
return v
|
|
raise ValueError(
|
|
f"master must be 'yarn', 'spark://...', 'k8s://...', 'mesos://...', "
|
|
f"or 'local[/N]'; got {v!r}"
|
|
)
|
|
|
|
@field_validator("auth_type")
|
|
@classmethod
|
|
def _check_auth_type(cls, v: str) -> str:
|
|
if v not in {"none", "simple", "basic", "kerberos"}:
|
|
raise ValueError(
|
|
f"auth_type must be one of none/simple/basic/kerberos; got {v!r}"
|
|
)
|
|
return v
|
|
|
|
|
|
class PendingSubmission(BaseModel):
|
|
pending_id: str
|
|
app_name: str | None = None
|
|
|
|
connection: str
|
|
master: str
|
|
deploy_mode: str
|
|
yarn_rm_url: str | None = None
|
|
script_path: str
|
|
queue: str
|
|
executor_memory: str
|
|
executor_cores: int
|
|
num_executors: int
|
|
spark_conf: dict[str, str] = Field(default_factory=dict)
|
|
extra_args: dict[str, str] = Field(default_factory=dict)
|
|
created_at: datetime
|
|
status: str = "PENDING" # PENDING | SUBMITTED | CANCELLED | FAILED
|
|
error: str | None = None
|
|
job_id: str | None = None
|
|
application_id: str | None = None
|
|
tracking_url: str | None = None
|