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LangGraph: Checkpointer causes MySQL collation errors (1267/1366) + Hindi TTS loses Devanagari matras #937
Closed
opened 2026-02-20 17:42:26 -05:00 by yindo
·
2 comments
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main
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deps/uv-lock-upgrade
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checkpoint==1.0.14
0.2.29
checkpoint==1.0.13
checkpointpostgres==1.0.9
checkpoint==1.0.12
0.2.28
0.2.27
0.2.26
checkpointsqlite==1.0.4
checkpointpostgres==1.0.8
checkpoint==1.0.11
0.2.25
sdk==0.1.31
0.2.24
0.2.23
checkpointpostgres==1.0.7
checkpoint==1.0.10
0.2.22
0.2.21
0.2.20
0.2.19
0.2.18
checkpoint==1.0.9
0.2.17
checkpointsqlite==1.0.3
checkpointsqlite==1.0.2
checkpointpostgres==1.0.6
0.2.16
checkpoint==1.0.8
0.2.15
checkpointsqlite==1.0.1
checkpoint==1.0.7
checkpointpostgres==1.0.5
sdk==0.1.30
cli==0.1.52
checkpointpostgres==1.0.4
sdk==0.1.29
0.2.13
cli==0.1.51
0.2.12
checkpoint==1.0.4
0.2.11
0.2.10
0.2.9
sdk==0.1.28
0.2.7
0.2.6
0.2.5
0.2.4
checkpoint==1.0.3
checkpointpostgres==1.0.3
checkpointpostgres==1.0.2
0.2.3
checkpointpostgres==1.0.1
0.2.2
0.2.1
checkpoint==1.0.2
0.2.0
checkpointpostgres==1.0.0
checkpointsqlite==1.0.0
checkpoint==1.0.1
sdk==0.1.27
checkpoint==1.0.0
0.1.17
0.1.16
0.1.15
0.1.14
0.1.13
0.1.12
0.1.11
0.1.10
cli==0.1.50
0.1.9
cli==0.1.49
sdk==0.1.26
0.1.8
0.1.7
0.1.6
cli==0.1.48
0.1.5
cli==0.1.47
0.1.4
0.1.3
cli==0.1.46
cli==0.1.45
cli==0.1.45a1
0.1.2
sdk==0.1.25
sdk==0.1.24
cli==0.1.45a0
cli==0.1.44
cli==0.1.42
cli==0.1.41
cli==0.1.40
sdk==0.1.23
langgraph-cli==0.1.39
v0.0.8
v0.0.7
v0.0.6
v0.0.5
v0.0.4
v0.0.3
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Reference: langchain-ai/langgraph#937
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Originally created by @shubhammalik19 on GitHub (Aug 25, 2025).
Checked other resources
Example Code
Error Message and Stack Trace (if applicable)
Description
I’m seeing two related issues when running LangGraph with the MySQL checkpointer in my TMS app:
Summary: backend-generated TTS payloads strip Devanagari combining marks (matras) and the MySQL checkpointer triggers collation/encoding errors (1267 / 1366) when session titles or comparisons include non‑ASCII text.
Symptoms
TTS: voice.plain returned by the backend drops Unicode combining marks in Hindi (Devanagari). UI/display text is correct, but speech output becomes gibberish.
DB: Inserts/queries fail with:
1366: Incorrect string value when inserting Hindi into chat_sessions.session_title
1267: Illegal mix of collations (e.g. utf8mb4_unicode_ci vs utf8mb4_general_ci) when comparing text across tables or sessions
Why I think it’s the checkpointer
The errors occur during graph execution when the checkpointer (a separate DB client/connection) runs queries. I reproduced the problem by opening a second DB connection with a different session collation; that connection produces 1267 while the primary connection does not.
Example log excerpt:
Graph execution failed: (1267, "Illegal mix of collations (utf8mb4_unicode_ci,IMPLICIT) and (utf8mb4_general_ci,IMPLICIT) for operation '='")
How to reproduce (attachments included)
I attached a minimal bundle (langgraph_issue.zip) that contains:
reproduce.sql — creates a DB with mixed collations
reproduce.py — runs the schema and simulates a checkpointer connection that sets utf8mb4_general_ci, reproducing the 1267 error
fix_collation.sql — suggested migration to convert table/column to utf8mb4_unicode_ci
logs.txt and report_email.txt
Run: MYSQL_HOST=... MYSQL_USER=... MYSQL_PASSWORD=... MYSQL_PORT=... python reproduce.py (script prints the 1267 OperationalError when the simulated checkpointer runs a JOIN)
Expected behavior
voice.plain should preserve all Unicode combining marks (Devanagari matras) so TTS produces correct Hindi pronunciation.
The checkpointer should use the same charset/collation as the DB (or explicitly set SET NAMES utf8mb4 COLLATE utf8mb4_unicode_ci) so inserts and text comparisons do not raise 1267/1366.
Notes & environment
MySQL/MariaDB: (attach your exact version)
Connectors tried: mysql-connector-python and PyMySQL (both tested)
App: Python 3.x, LangGraph used as a checkpointer in the graph runtime
I can provide a small respond() snippet showing where voice.plain is built, or add a Docker Compose repro if helpful.
System Info
Plan: I’ll give (A) a short list of commands to run on your machine, (B) a ready-to-paste system-info block with the values I can fill from your workspace and placeholders for the rest, and (C) a short note about where to find LangGraph/LangChain versions and DB details.
Checklist
Provide commands to collect Python, env, package and MySQL versions — Done
Provide a ready-to-paste System Info block with known values filled and placeholders for you to complete — Done
Note about sensitive values and how to attach environment info securely — Done
Commands to run (copy/paste into your shell)
Python runtime
python3 -V
Virtualenv python (use your venv path if different)
/home/shubham/laravel/newversion/aiapp/ai_chat_env/bin/python -V
pip freeze (in the same env used by the app)
/home/shubham/laravel/newversion/aiapp/ai_chat_env/bin/python -m pip freeze
Show specific packages (if installed)
/home/shubham/laravel/newversion/aiapp/ai_chat_env/bin/python -m pip show PyMySQL mysql-connector-python langchain langchain-core langgraph
MySQL / MariaDB server version (run on the DB server)
mysql --version
If langchain_core.sys_info exists:
/home/shubham/laravel/newversion/aiapp/ai_chat_env/bin/python -m langchain_core.sys_info
Ready-to-paste “System Info *” block (fill placeholders if needed)
OS: Linux (distribution: <fill e.g. Ubuntu 22.04 or Debian 11>)
Kernel: $(uname -r) # run
uname -rand paste valuePython:
python3 -Vand paste>Virtualenv path:
Installed packages (selected):
MySQL / MariaDB:
mysql --versionto confirm exactDatabase settings / collation overview (paste if available):
chat_sessions(session_title),messages,checkpoints(if used)utf8mb4_general_ciandutf8mb4_unicode_ci— please include result of:SHOW CREATE TABLE chat_sessions;
SHOW TABLE STATUS WHERE Name='chat_sessions';
App details:
MYSQL_HOST=127.0.0.1 MYSQL_USER=root MYSQL_PASSWORD=12345 MYSQL_PORT=3306 python langgraph_issue/reproduce.py
Repro output summary (paste exact):
newversion.chat_sessions.session_titleat row 1")Additional useful info (optional):
python -m langchain_core.sys_info(if available)Short guidance on what to paste into the issue
Paste the filled System Info block above into the GitHub "System Info *" field.
Attach the langgraph_issue.zip bundle and the reproduce.py run output (the console output you saw).
Do not paste passwords or secrets; paste only versions, config, and the exact error text.
langgraph_issue.zip
@impptg commented on GitHub (Sep 18, 2025):
I meet the same problem, I tried to create the table by myself, and it works.
Temporary Solution:
Use these commands to view the content of migrations:
use this command to view the content of each migration.
Migration 1:
CREATE TABLE IF NOT EXISTS checkpoints (
thread_id VARCHAR(150) NOT NULL,
checkpoint_ns VARCHAR(150) NOT NULL DEFAULT '',
checkpoint_id VARCHAR(150) NOT NULL,
parent_checkpoint_id VARCHAR(150),
type VARCHAR(150),
checkpoint JSON NOT NULL,
metadata JSON NOT NULL DEFAULT ('{}'),
PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id)
);
....
Then manually specify COLLATE at the end
CREATE TABLE checkpoints (
......
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci
@eyurtsev commented on GitHub (Nov 7, 2025):
PyMySQLSaveris not maintain by the langhcain team. I'm closing this issue, and would suggest raising it here: https://github.com/tjni/langgraph-checkpoint-mysql