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antithesis: Add ALTER TABLE parallel driver
This commit is contained in:
139
antithesis-tests/stress-composer/parallel_driver_alter_table.py
Executable file
139
antithesis-tests/stress-composer/parallel_driver_alter_table.py
Executable file
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#!/usr/bin/env -S python3 -u
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import json
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import turso
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from antithesis.random import get_random, random_choice
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# Get initial state
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try:
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con_init = turso.connect("init_state.db")
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except Exception as e:
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print(f"Error connecting to database: {e}")
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exit(0)
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cur_init = con_init.cursor()
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# Get all existing tables from schemas
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existing_schemas = cur_init.execute("SELECT tbl, schema FROM schemas").fetchall()
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if not existing_schemas:
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print("No tables found in schemas")
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exit(0)
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# Select a random table
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selected_idx = get_random() % len(existing_schemas)
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selected_tbl, schema_json = existing_schemas[selected_idx]
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tbl_schema = json.loads(schema_json)
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print(f"Selected table: tbl_{selected_tbl} with {tbl_schema['colCount']} columns")
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# Connect to the main database
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try:
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con = turso.connect("stress_composer.db", experimental_indexes=True)
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except Exception as e:
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print(f"Failed to open stress_composer.db. Exiting... {e}")
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exit(0)
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cur = con.cursor()
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# Define possible data types and constraints for new columns
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data_types = ["INTEGER", "REAL", "TEXT", "BLOB", "NUMERIC"]
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# When adding columns to existing tables, NOT NULL without DEFAULT is not allowed
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constraints = ["", "DEFAULT 0", "DEFAULT ''", "DEFAULT NULL"]
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# Choose ALTER TABLE operation
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# Weight ADD_COLUMN more heavily (60% chance)
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rand_val = get_random() % 100
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if rand_val < 60:
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operation = "ADD_COLUMN"
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elif rand_val < 80:
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operation = "RENAME_TABLE"
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else:
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operation = "RENAME_COLUMN"
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try:
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if operation == "ADD_COLUMN":
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# Add a new column
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new_col_num = tbl_schema["colCount"]
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new_col_name = f"col_{new_col_num}"
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# Choose data type and constraint
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col_data_type = random_choice(data_types)
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col_constraint = random_choice(constraints)
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alter_stmt = f"ALTER TABLE tbl_{selected_tbl} ADD COLUMN {new_col_name} {col_data_type}"
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if col_constraint:
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alter_stmt += f" {col_constraint}"
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print(f"Adding column: {alter_stmt}")
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cur.execute(alter_stmt)
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# Update schema in init_state.db
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tbl_schema["colCount"] += 1
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tbl_schema[new_col_name] = {
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"data_type": col_data_type,
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"constraint1": col_constraint,
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"constraint2": ""
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}
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cur_init.execute(
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"UPDATE schemas SET schema = ? WHERE tbl = ?",
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(json.dumps(tbl_schema), selected_tbl)
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)
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print(f"Successfully added column {new_col_name} to tbl_{selected_tbl}")
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elif operation == "RENAME_TABLE":
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new_table = len(existing_schemas) + 1
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alter_stmt = f"ALTER TABLE tbl_{selected_tbl} RENAME TO tbl_{new_table}"
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print(f"Renaming table: {alter_stmt}")
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cur.execute(alter_stmt)
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# Update schemas table - change the tbl identifier to match the new name
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# Extract the new table number/identifier from the new name
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cur_init.execute(
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"UPDATE schemas SET tbl = ? WHERE tbl = ?",
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(new_table, selected_tbl)
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)
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print(f"Successfully renamed table tbl_{selected_tbl} to tbl_{new_table}")
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elif operation == "RENAME_COLUMN":
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# Select a random non-primary key column to rename
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available_cols = []
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pk_col = tbl_schema.get("pk", 0)
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for i in range(tbl_schema["colCount"]):
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if i != pk_col:
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available_cols.append(i)
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if available_cols:
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selected_col = random_choice(available_cols)
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old_col_name = f"col_{selected_col}"
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new_col_name = f"col_{selected_col}_renamed"
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alter_stmt = f"ALTER TABLE tbl_{selected_tbl} RENAME COLUMN {old_col_name} TO {new_col_name}"
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print(f"Renaming column: {alter_stmt}")
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cur.execute(alter_stmt)
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# Rename it back to maintain consistency
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cur.execute(f"ALTER TABLE tbl_{selected_tbl} RENAME COLUMN {new_col_name} TO {old_col_name}")
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print(f"Successfully renamed column {old_col_name} (and renamed back)")
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else:
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print("No non-primary key columns available to rename")
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con.commit()
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con_init.commit()
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except turso.OperationalError as e:
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print(f"Failed to alter table: {e}")
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con.rollback()
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con_init.rollback()
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except Exception as e:
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print(f"Unexpected error: {e}")
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con.rollback()
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con_init.rollback()
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con.close()
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con_init.close()
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