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docs: remove CloudFetch release coordination notes
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‎CONNECTION_PARAMETERS.md‎

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| `_use_arrow_native_decimals` | `bool` | ✅ | ❌ | `True` | Thrift wire encoding for `DECIMAL`: `True` → native Arrow `decimal128`, `False` → Arrow string. **No value-level effect**, though: the connector unconditionally re-casts the column back to `decimal128` (`convert_decimals_in_arrow_table`, `thrift_backend.py`), so both `fetchall()` and `fetchall_arrow()` yield `Decimal` / `decimal128(p,s)` either way (verified live). Not forwarded to the kernel, which always returns native Arrow decimals. |
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| `_use_arrow_native_timestamps` | `bool` | ✅ | ❌ | `True` | Thrift wire encoding for `TIMESTAMP`: `True` → native Arrow timestamp (→ Python `datetime`), `False` → Arrow string (→ Python **`str`**). **Unlike decimals there is no re-cast**, so `False` genuinely surfaces strings — and `cursor.description` still reports the type code as `'timestamp'`, a mismatch to watch for (verified live). Note the connector always also sends the `spark.thriftserver.arrowBasedRowSet.timestampAsString=false` conf, but the `timestampAsArrow=False` flag wins. Not forwarded to the kernel, which always returns native Arrow timestamps. |
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Kernel support for `use_cloud_fetch=False` requires a native release containing
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[databricks-sql-kernel#436](https://github.com/databricks/databricks-sql-kernel/pull/436).
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`KERNEL_REV` selects that source for validation. The published native dependency
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must be updated alongside the connector release; released kernel 1.4.0 does not
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provide this behavior.
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Pass a Python `bool` for this option; string values such as `"false"` are not parsed.
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## Session defaults & transactions
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| Option | Type | Thrift | Kernel | Default Value | Note |

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