googleapis / googleapis/google-cloud-python

A client called `run_in_transaction` be stuck if Spanner is down

Aperta Adatta ai principianti
#18,375 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub
priority: p2 type: bug
Lingua principale
Python
Stelle
5.4k
Fork
1.8k
Merge medio
3g 4h
PR unite (30g)
122

Descrizione

### Determine this is the right repository

- [x] I determined this is the correct repository in which to report this bug.

### Summary of the issue

**Context**
When the Spanner is unavailable. If we call [`run_in_transaction`](https://github.com/googleapis/google-cloud-python/blob/main/packages/google-cloud-spanner/google/cloud/spanner_v1/database.py#L1015), the Spanner client will stuck forever.

We believe the [get_session](https://github.com/googleapis/google-cloud-python/blob/main/packages/google-cloud-spanner/google/cloud/spanner_v1/database.py#L1064) should in the try catch block. Otherwise, the `self._local.transaction_running = True` will be forever True.

**Expected Behavior:**
The client will retry when the Spanner DB is back.

**Actual Behavior:**
The client stuck forever.

### API client name and version

_No response_

### Reproduction steps: code

_No response_

### Reproduction steps: supporting files

- Try to create a session when Spanner is unavailable.
- The client will be stuck forever.

### Reproduction steps: actual results

_No response_

### Reproduction steps: expected results

_No response_

### OS & version + platform

_No response_

### Python environment

_No response_

### Python dependencies

_No response_

### Additional context

_No response_

Guida per i contributori

Apri la guida per i contributori

Direzione di ricerca

Start in packages/google-cloud-spanner/google/cloud/spanner_v1/database.py at run_in_transaction and its get_session call. Trace the transaction-running state when session creation fails while Spanner is unavailable, then add coverage for that failure path. Done means the client does not remain stuck and can retry when Spanner becomes available.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
python
Ambito
databases
Tipo di issue
Bug
Difficoltà
2/5
Tempo stimato
1-3 ore
Stato di attività
Attiva
Chiarezza
Abbastanza chiara
Idoneità per principianti
72/100

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