forked from apache/airflow
-
Notifications
You must be signed in to change notification settings - Fork 18
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Migrate pickled data & change XCom value type to JSON (apache#44166)
follow-up of apache#43905 Changes: - Changed `XCom.value` column to JSON for all dbs. - Archived pickled XCom data to `_xcom_archive` and removed it from the `xcom` table. - Removed encoded string in XCom serialization and deserialization logic. - Updated logic for `XComObjectStorageBackend` to make it compatible for AF 2 & 3
- Loading branch information
Showing
11 changed files
with
222 additions
and
20 deletions.
There are no files selected for viewing
182 changes: 182 additions & 0 deletions
182
airflow/migrations/versions/0049_3_0_0_remove_pickled_data_from_xcom_table.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,182 @@ | ||
# | ||
# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
|
||
""" | ||
Remove pickled data from xcom table. | ||
Revision ID: eed27faa34e3 | ||
Revises: 9fc3fc5de720 | ||
Create Date: 2024-11-18 18:41:50.849514 | ||
""" | ||
|
||
from __future__ import annotations | ||
|
||
import sqlalchemy as sa | ||
from alembic import op | ||
from sqlalchemy import text | ||
from sqlalchemy.dialects.mysql import LONGBLOB | ||
|
||
from airflow.migrations.db_types import TIMESTAMP, StringID | ||
|
||
revision = "eed27faa34e3" | ||
down_revision = "9fc3fc5de720" | ||
branch_labels = None | ||
depends_on = None | ||
airflow_version = "3.0.0" | ||
|
||
|
||
def upgrade(): | ||
"""Apply Remove pickled data from xcom table.""" | ||
# Summary of the change: | ||
# 1. Create an archived table (`_xcom_archive`) to store the current "pickled" data in the xcom table | ||
# 2. Extract and archive the pickled data using the condition | ||
# 3. Delete the pickled data from the xcom table so that we can update the column type | ||
# 4. Update the XCom.value column type to JSON from LargeBinary/LongBlob | ||
|
||
conn = op.get_bind() | ||
dialect = conn.dialect.name | ||
|
||
# Create an archived table to store the current data | ||
op.create_table( | ||
"_xcom_archive", | ||
sa.Column("dag_run_id", sa.Integer(), nullable=False, primary_key=True), | ||
sa.Column("task_id", StringID(length=250), nullable=False, primary_key=True), | ||
sa.Column("map_index", sa.Integer(), nullable=False, server_default=sa.text("-1"), primary_key=True), | ||
sa.Column("key", StringID(length=512), nullable=False, primary_key=True), | ||
sa.Column("dag_id", StringID(length=250), nullable=False), | ||
sa.Column("run_id", StringID(length=250), nullable=False), | ||
sa.Column("value", sa.LargeBinary().with_variant(LONGBLOB, "mysql"), nullable=True), | ||
sa.Column("timestamp", TIMESTAMP(), nullable=False), | ||
sa.PrimaryKeyConstraint("dag_run_id", "task_id", "map_index", "key"), | ||
if_not_exists=True, | ||
) | ||
|
||
# Condition to detect pickled data for different databases | ||
condition_templates = { | ||
"postgresql": "get_byte(value, 0) = 128", | ||
"mysql": "HEX(SUBSTRING(value, 1, 1)) = '80'", | ||
"sqlite": "substr(value, 1, 1) = char(128)", | ||
} | ||
|
||
condition = condition_templates.get(dialect) | ||
if not condition: | ||
raise RuntimeError(f"Unsupported dialect: {dialect}") | ||
|
||
# Key is a reserved keyword in MySQL, so we need to quote it | ||
quoted_key = conn.dialect.identifier_preparer.quote("key") | ||
|
||
# Archive pickled data using the condition | ||
conn.execute( | ||
text( | ||
f""" | ||
INSERT INTO _xcom_archive (dag_run_id, task_id, map_index, {quoted_key}, dag_id, run_id, value, timestamp) | ||
SELECT dag_run_id, task_id, map_index, {quoted_key}, dag_id, run_id, value, timestamp | ||
FROM xcom | ||
WHERE value IS NOT NULL AND {condition} | ||
""" | ||
) | ||
) | ||
|
||
# Delete the pickled data from the xcom table so that we can update the column type | ||
conn.execute(text(f"DELETE FROM xcom WHERE value IS NOT NULL AND {condition}")) | ||
|
||
# Update the value column type to JSON | ||
if dialect == "postgresql": | ||
op.execute( | ||
""" | ||
ALTER TABLE xcom | ||
ALTER COLUMN value TYPE JSONB | ||
USING CASE | ||
WHEN value IS NOT NULL THEN CAST(CONVERT_FROM(value, 'UTF8') AS JSONB) | ||
ELSE NULL | ||
END | ||
""" | ||
) | ||
elif dialect == "mysql": | ||
op.add_column("xcom", sa.Column("value_json", sa.JSON(), nullable=True)) | ||
op.execute("UPDATE xcom SET value_json = CAST(value AS CHAR CHARACTER SET utf8mb4)") | ||
op.drop_column("xcom", "value") | ||
op.alter_column("xcom", "value_json", existing_type=sa.JSON(), new_column_name="value") | ||
elif dialect == "sqlite": | ||
# Rename the existing `value` column to `value_old` | ||
with op.batch_alter_table("xcom", schema=None) as batch_op: | ||
batch_op.alter_column("value", new_column_name="value_old") | ||
|
||
# Add the new `value` column with JSON type | ||
with op.batch_alter_table("xcom", schema=None) as batch_op: | ||
batch_op.add_column(sa.Column("value", sa.JSON(), nullable=True)) | ||
|
||
# Migrate data from `value_old` to `value` | ||
conn.execute( | ||
text( | ||
""" | ||
UPDATE xcom | ||
SET value = json(CAST(value_old AS TEXT)) | ||
WHERE value_old IS NOT NULL | ||
""" | ||
) | ||
) | ||
|
||
# Drop the old `value_old` column | ||
with op.batch_alter_table("xcom", schema=None) as batch_op: | ||
batch_op.drop_column("value_old") | ||
|
||
|
||
def downgrade(): | ||
"""Unapply Remove pickled data from xcom table.""" | ||
conn = op.get_bind() | ||
dialect = conn.dialect.name | ||
|
||
# Revert the value column back to LargeBinary | ||
if dialect == "postgresql": | ||
op.execute( | ||
""" | ||
ALTER TABLE xcom | ||
ALTER COLUMN value TYPE BYTEA | ||
USING CASE | ||
WHEN value IS NOT NULL THEN CONVERT_TO(value::TEXT, 'UTF8') | ||
ELSE NULL | ||
END | ||
""" | ||
) | ||
elif dialect == "mysql": | ||
op.add_column("xcom", sa.Column("value_blob", LONGBLOB, nullable=True)) | ||
op.execute("UPDATE xcom SET value_blob = CAST(value AS BINARY);") | ||
op.drop_column("xcom", "value") | ||
op.alter_column("xcom", "value_blob", existing_type=LONGBLOB, new_column_name="value") | ||
|
||
elif dialect == "sqlite": | ||
with op.batch_alter_table("xcom", schema=None) as batch_op: | ||
batch_op.alter_column("value", new_column_name="value_old") | ||
|
||
with op.batch_alter_table("xcom", schema=None) as batch_op: | ||
batch_op.add_column(sa.Column("value", sa.LargeBinary, nullable=True)) | ||
|
||
conn.execute( | ||
text( | ||
""" | ||
UPDATE xcom | ||
SET value = CAST(value_old AS BLOB) | ||
WHERE value_old IS NOT NULL | ||
""" | ||
) | ||
) | ||
|
||
with op.batch_alter_table("xcom", schema=None) as batch_op: | ||
batch_op.drop_column("value_old") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1 +1 @@ | ||
028d2fec22a15bbf5794e2fc7522eaf880a8b6293ead484780ef1a14e6cd9b48 | ||
7748eec981f977cc97b852d1fe982aebe24ec2d090ae8493a65cea101f9d42a5 |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters