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execute_write(transaction=False) parameter, plus fix for errors inside tasks
Ensure a write inside a failing Datasette task never becomes visible. Refs #2831
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commit
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4 changed files with 55 additions and 5 deletions
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@ -246,6 +246,7 @@ class Database:
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request=None,
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return_all=False,
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returning_limit=EXECUTE_WRITE_RETURNING_LIMIT,
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transaction=True,
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):
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self._check_not_closed()
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if returning_limit < 0:
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@ -258,7 +259,9 @@ class Database:
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)
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with trace("sql", database=self.name, sql=sql.strip(), params=params):
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results = await self.execute_write_fn(_inner, block=block, request=request)
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results = await self.execute_write_fn(
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_inner, block=block, request=request, transaction=transaction
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)
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return results
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async def execute_write_script(self, sql, block=True, request=None):
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@ -348,6 +351,7 @@ class Database:
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self.ds._prepare_connection(self._write_connection, self.name)
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if transaction:
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with self._write_connection:
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self._write_connection.execute("BEGIN IMMEDIATE")
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result = fn(self._write_connection)
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else:
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result = fn(self._write_connection)
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@ -477,6 +481,7 @@ class Database:
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try:
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if task.transaction:
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with conn:
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conn.execute("BEGIN IMMEDIATE")
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result = task.fn(conn)
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else:
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result = task.fn(conn)
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@ -643,8 +643,15 @@ class QueryView(View):
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ok = None
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redirect_url = None
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try:
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execute_write_kwargs = {"request": request}
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if stored_query.is_trusted:
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analysis = await db.analyze_sql(stored_query.sql, params_for_query)
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if any(
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operation.operation == "vacuum" for operation in analysis.operations
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):
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execute_write_kwargs["transaction"] = False
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cursor = await db.execute_write(
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stored_query.sql, params_for_query, request=request
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stored_query.sql, params_for_query, **execute_write_kwargs
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)
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# success message can come from on_success_message or on_success_message_sql
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message = None
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@ -2023,8 +2023,8 @@ Example usage:
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.. _database_execute_write:
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await db.execute_write(sql, params=None, block=True, request=None, return_all=False, returning_limit=10)
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--------------------------------------------------------------------------------------------------------
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await db.execute_write(sql, params=None, block=True, request=None, return_all=False, returning_limit=10, transaction=True)
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--------------------------------------------------------------------------------------------------------------------------
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SQLite only allows one database connection to write at a time. Datasette handles this for you by maintaining a queue of writes to be executed against a given database. Plugins can submit write operations to this queue and they will be executed in the order in which they are received.
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@ -2059,7 +2059,9 @@ If you need to retrieve every row returned by a statement, pass ``return_all=Tru
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If you pass ``block=False`` this behavior changes to "fire and forget" - queries will be added to the write queue and executed in a separate thread while your code can continue to do other things. The method will return a UUID representing the queued task.
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Each call to ``execute_write()`` will be executed inside a transaction.
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Each call to ``execute_write()`` will be executed inside a transaction. Pass
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``transaction=False`` for statements such as ``VACUUM`` that cannot run inside
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a transaction.
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.. _database_execute_write_script:
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@ -11,6 +11,7 @@ from datasette.database import _deliver_write_result
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from datasette.utils.sqlite import sqlite3, supports_returning
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from datasette.utils import Column
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import pytest
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import sqlite_utils
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import time
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import uuid
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@ -718,6 +719,41 @@ async def test_execute_write_fn_exception(db):
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await db.execute_write_fn(write_fn)
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@pytest.mark.asyncio
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@pytest.mark.parametrize("num_sql_threads", (0, 1))
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async def test_execute_write_fn_sqlite_utils_transaction(tmp_path, num_sql_threads):
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# A write inside a failing Datasette task must never become visible or
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# survive the rollback. Exercise both the synchronous and writer-thread
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# paths against a file-backed database so a second connection can observe
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# committed state independently.
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db_path = tmp_path / "test.db"
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sqlite3.connect(db_path).close()
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ds = Datasette([str(db_path)], settings={"num_sql_threads": num_sql_threads})
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db = ds.get_database("test")
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await db.execute_write("create table items (id integer primary key)")
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# This reader is used inside the write callback, which may run on another
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# thread, but it is never accessed concurrently.
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reader = sqlite3.connect(db_path, check_same_thread=False)
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def insert_then_fail(conn):
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# Datasette must open the outer transaction before sqlite-utils writes.
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assert conn.in_transaction
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sqlite_utils.Database(conn)["items"].insert({"id": 1})
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# If sqlite-utils committed its own transaction, this would return 1.
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assert reader.execute("select count(*) from items").fetchone()[0] == 0
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# Simulate a later step failing after the sqlite-utils write succeeded.
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raise ValueError("deliberate")
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try:
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with pytest.raises(ValueError, match="deliberate"):
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await db.execute_write_fn(insert_then_fail)
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# The outer transaction must roll back the sqlite-utils write as well.
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assert reader.execute("select count(*) from items").fetchone()[0] == 0
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finally:
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reader.close()
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db.close()
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@pytest.mark.asyncio
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@pytest.mark.parametrize("param_name", ["conn", "connection", "db", "c"])
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async def test_execute_write_fn_accepts_any_single_param_name(db, param_name):
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