chore: import upstream snapshot with attribution
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This commit is contained in:
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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from mirage.resource.databricks_volume.config import DatabricksVolumeConfig
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__all__ = ["DatabricksVolumeConfig", "DatabricksVolumeResource"]
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def __getattr__(name: str):
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if name == "DatabricksVolumeResource":
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from mirage.resource.databricks_volume.databricks_volume import \
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DatabricksVolumeResource
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return DatabricksVolumeResource
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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@@ -0,0 +1,52 @@
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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import posixpath
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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class DatabricksVolumeConfig(BaseModel):
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model_config = ConfigDict(frozen=True,
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populate_by_name=True,
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serialize_by_alias=True)
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catalog: str
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# Public config key is still "schema"
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# internal name avoids warning overwriting BaseModel.schema.
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schema_name: str = Field(alias="schema")
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volume: str
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root_path: str = "/"
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host: str | None = None
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token: str | None = None
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profile: str | None = None
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timeout: int = 30
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@field_validator("catalog", "schema_name", "volume")
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@classmethod
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def validate_volume_part(cls, value: str) -> str:
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if not value or "/" in value:
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raise ValueError("must be a non-empty path segment")
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return value
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@field_validator("root_path")
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@classmethod
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def normalize_root_path(cls, value: str) -> str:
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stripped = value.strip("/")
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if not stripped:
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return "/"
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if any(part == ".." for part in stripped.split("/")):
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raise ValueError("root_path must not contain '..' segments")
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normalized = posixpath.normpath("/" + stripped)
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return "/" if normalized == "/." else normalized
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@@ -0,0 +1,103 @@
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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import dataclasses
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from typing import Any
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from mirage.accessor.databricks_volume import DatabricksVolumeAccessor
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from mirage.commands.builtin.databricks_volume import \
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COMMANDS as DATABRICKS_VOLUME_COMMANDS
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from mirage.core.databricks_volume.copy import copy
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from mirage.core.databricks_volume.create import create
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from mirage.core.databricks_volume.exists import exists
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from mirage.core.databricks_volume.glob import resolve_glob as _resolve_glob
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from mirage.core.databricks_volume.mkdir import mkdir
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from mirage.core.databricks_volume.read import read_bytes
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from mirage.core.databricks_volume.readdir import readdir
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from mirage.core.databricks_volume.rename import rename
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from mirage.core.databricks_volume.rm import rm_recursive
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from mirage.core.databricks_volume.rmdir import rmdir
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from mirage.core.databricks_volume.stat import stat as databricks_stat
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from mirage.core.databricks_volume.stream import range_read, read_stream
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from mirage.core.databricks_volume.unlink import unlink
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from mirage.core.databricks_volume.write import write_bytes
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from mirage.ops.databricks_volume import OPS as DATABRICKS_VOLUME_OPS
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from mirage.resource.base import BaseResource
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from mirage.resource.databricks_volume.config import DatabricksVolumeConfig
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from mirage.resource.databricks_volume.prompt import PROMPT
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from mirage.types import PathSpec, ResourceName
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from mirage.utils.key_prefix import mount_key
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_DATABRICKS_VOLUME_OPS = {
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"read_bytes": read_bytes,
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"readdir": readdir,
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"stat": databricks_stat,
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"read_stream": read_stream,
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"range_read": range_read,
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"exists": exists,
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"write": write_bytes,
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"create": create,
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"unlink": unlink,
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"mkdir": mkdir,
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"rmdir": rmdir,
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"copy": copy,
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"rename": rename,
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"rm_recursive": rm_recursive,
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}
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class DatabricksVolumeResource(BaseResource):
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name: str = ResourceName.DATABRICKS_VOLUME
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caches_reads: bool = True
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_ops: dict[str, Any] = _DATABRICKS_VOLUME_OPS
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PROMPT: str = PROMPT
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def __init__(
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self,
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config: DatabricksVolumeConfig,
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client: Any | None = None,
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) -> None:
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super().__init__()
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self.config = config
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self.accessor = DatabricksVolumeAccessor(self.config, client)
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for fn in DATABRICKS_VOLUME_COMMANDS:
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self.register(fn)
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for fn in DATABRICKS_VOLUME_OPS:
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self.register_op(fn)
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async def resolve_glob(self, paths, prefix: str = ""):
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if prefix:
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paths = [
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dataclasses.replace(p,
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resource_path=mount_key(p.virtual, prefix))
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if isinstance(p, PathSpec) else p for p in paths
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]
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return await _resolve_glob(self.accessor, paths, self._index)
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def get_state(self) -> dict:
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redacted = ["token"]
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cfg = self.config.model_dump()
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for field in redacted:
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if cfg.get(field) is not None:
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cfg[field] = "<REDACTED>"
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return {
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"type": self.name,
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"needs_override": True,
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"redacted_fields": redacted,
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"config": cfg,
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}
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def load_state(self, state: dict) -> None:
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pass
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@@ -0,0 +1,26 @@
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
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PROMPT = """\
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{prefix}
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Remote Databricks Unity Catalog volume filesystem.
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IMPORTANT: This is a remote mount - every file/dir access is an API round-trip.
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Prefer targeted reads (ls, head, grep, rg, find with a path/glob) over full
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scans; recursive ops (rm -r, cp -r, tree, grep -r) over a large tree are slow.
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Create parent dirs before writing: `mkdir -p /path && cmd > /path/out`.
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mv/cp are non-atomic full copies (no server-side rename) - avoid on large files.
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sed -i is not supported; transform and redirect to a new file instead.
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Read/analyze: ls, cat, head, tail, grep, rg, find, tree, stat, wc, sort, uniq,
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cut, nl, tr, sed, awk, jq, diff.
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Write: touch, rm, rm -r, mkdir, mkdir -p, cp, mv, and >/>> redirects."""
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