> Use when performing database operations in ERPNext/Frappe v14-v16. Covers frappe.db methods, ORM patterns (frappe.get_doc, frappe.get_list), raw SQL, caching patterns, and performance optimization. Prevents common mistakes frappe.get_doc, database query, SQL, ORM, caching, database performance, query returns nothing, slow database, how to fetch data, get document by name, frappe.get_list empty.
npx skills add https://github.com/Impertio-Studio/Frappe_Claude_Skill_Package --skill frappe-core-database
| Action | Method | Permissions |
|--------|--------|-------------|
| Get document | frappe.get_doc(doctype, name) | Yes |
| Cached document | frappe.get_cached_doc(doctype, name) | No |
| New document | frappe.new_doc(doctype) | — |
| Insert | doc.insert() | Yes |
| Save | doc.save() | Yes |
| Delete document | frappe.delete_doc(doctype, name) | Yes |
| List (with perms) | frappe.db.get_list(doctype, ...) | Yes |
| List (no perms) | frappe.get_all(doctype, ...) | No |
| Single field | frappe.db.get_value(doctype, name, field) | No |
| Single DocType | frappe.db.get_single_value(doctype, field) | No |
| Cached value | frappe.db.get_value(..., cache=True) | No |
| Direct update | frappe.db.set_value(doctype, name, field, val) | No |
| Direct update | doc.db_set(field, value) | No |
| Exists check | frappe.db.exists(doctype, name) | No |
| Count | frappe.db.count(doctype, filters) | No |
| Delete rows | frappe.db.delete(doctype, filters) | No |
| Raw SQL | frappe.db.sql(query, values, as_dict) | No |
| Query Builder | frappe.qb.from_(doctype).select(...) | No |
> "Permissions" = Yes means user permission filters are applied automatically.
What do you need?
│
├─ Create / Update / Delete a document?
│ ├─ With validations + hooks → frappe.get_doc() + .insert()/.save()/.delete()
│ └─ Direct DB (no hooks) → frappe.db.set_value() or doc.db_set()
│
├─ Read a single document?
│ ├─ Need full object with methods → frappe.get_doc()
│ ├─ Read-only, rarely changes → frappe.get_cached_doc()
│ └─ Only need 1-2 fields → frappe.db.get_value()
│
├─ List of documents?
│ ├─ Respect user permissions → frappe.db.get_list()
│ └─ System/admin context → frappe.get_all()
│
├─ Single DocType value?
│ └─ frappe.db.get_single_value('Settings', 'field')
│
├─ Check existence?
│ └─ frappe.db.exists() — NEVER use get_doc in try/except
│
├─ Complex query (JOINs, aggregates)?
│ ├─ Cross-DB compatible → frappe.qb (Query Builder)
│ └─ DB-specific SQL → frappe.db.sql() with parameters
│
└─ DB-specific logic?
└─ frappe.db.multisql({'mariadb': q1, 'postgres': q2})
RULE: ALWAYS use the highest abstraction level: ORM > Database API > Query Builder > Raw SQL.
doc = frappe.get_doc('Sales Invoice', 'SINV-00001')
# Single DocType (no name needed)
settings = frappe.get_doc('System Settings')
# Cached (read-only, for rarely-changing docs)
company = frappe.get_cached_doc('Company', 'My Company')
# Last created
last_task = frappe.get_last_doc('Task', filters={'status': 'Open'})
doc = frappe.get_doc({
'doctype': 'Task',
'subject': 'Review report',
'status': 'Open'
})
doc.insert()
# Alternative
doc = frappe.new_doc('Task')
doc.subject = 'Review report'
doc.insert()
# Via ORM — triggers validate, on_update, etc.
doc = frappe.get_doc('Task', 'TASK-001')
doc.status = 'Completed'
doc.save()
# Direct DB — SKIPS all validations and hooks
frappe.db.set_value('Task', 'TASK-001', 'status', 'Completed')
# Direct DB on loaded doc
doc.db_set('status', 'Completed')
doc.db_set('status', 'Completed', update_modified=False)
doc.db_set({'status': 'Completed', 'priority': 'High'})
frappe.delete_doc('Task', 'TASK-001')
# Also removes linked Communications, Comments, etc.
doc.insert(
ignore_permissions=True, # Bypass permission check
ignore_links=True, # Skip link validation
ignore_if_duplicate=True, # No error on duplicate
ignore_mandatory=True # Skip required field check
)
> RULE: NEVER use multiple ignore flags together unless you have a documented reason. Each flag you add weakens data integrity.
# Single field → scalar
status = frappe.db.get_value('Task', 'TASK-001', 'status')
# Multiple fields → tuple
subject, status = frappe.db.get_value('Task', 'TASK-001', ['subject', 'status'])
# As dict
data = frappe.db.get_value('Task', 'TASK-001', ['subject', 'status'], as_dict=True)
# With filters instead of name
status = frappe.db.get_value('Task', {'project': 'PROJ-001'}, 'status')
# Cached (for values that rarely change)
country = frappe.db.get_value('Company', 'MyCompany', 'country', cache=True)
timezone = frappe.db.get_single_value('System Settings', 'time_zone')
# get_list — applies user permissions
tasks = frappe.db.get_list('Task',
filters={'status': 'Open'},
fields=['name', 'subject', 'assigned_to'],
order_by='creation desc',
start=0,
page_length=50
)
# get_all — NO permission check (same API, different default)
all_tasks = frappe.get_all('Task', filters={'status': 'Open'})
# pluck — returns flat list of single field
names = frappe.get_all('Task', filters={'status': 'Open'}, pluck='name')
# Returns: ['TASK-001', 'TASK-002', ...]
exists = frappe.db.exists('User', '[email protected]')
exists = frappe.db.exists('User', {'email': '[email protected]'})
total = frappe.db.count('Task')
open_count = frappe.db.count('Task', {'status': 'Open'})
{'status': 'Open'} # =
{'status': ['!=', 'Cancelled']} # !=
{'amount': ['>', 1000]} # >
{'amount': ['>=', 1000]} # >=
{'status': ['in', ['Open', 'Working']]} # IN
{'status': ['not in', ['Cancelled', 'Closed']]} # NOT IN
{'date': ['between', ['2024-01-01', '2024-12-31']]} # BETWEEN
{'subject': ['like', '%urgent%']} # LIKE
{'description': ['is', 'set']} # IS NOT NULL
{'description': ['is', 'not set']} # IS NULL
# AND — all conditions in one dict
filters = {'status': 'Open', 'priority': 'High'}
# AND — list format (allows duplicate fields)
filters = [['status', '=', 'Open'], ['priority', '=', 'High']]
# OR — separate parameter
or_filters = {'priority': 'Urgent', 'status': 'Overdue'}
# Single field
frappe.db.set_value('Task', 'TASK-001', 'status', 'Closed')
# Multiple fields
frappe.db.set_value('Task', 'TASK-001', {'status': 'Closed', 'priority': 'Low'})
# Without updating modified timestamp
frappe.db.set_value('Task', 'TASK-001', 'status', 'Closed', update_modified=False)
# Delete with filters (DML — can be rolled back)
frappe.db.delete('Error Log', {'creation': ['<', '2024-01-01']})
# Truncate (DDL — CANNOT be rolled back)
frappe.db.truncate('Error Log')
frappe.db.bulk_update('Task', {
'TASK-001': {'status': 'Closed'},
'TASK-002': {'status': 'Closed'}
}, chunk_size=100)
# ✅ CORRECT — parameterized query
results = frappe.db.sql("""
SELECT name, subject FROM `tabTask`
WHERE status = %(status)s AND owner = %(owner)s
""", {'status': 'Open', 'owner': frappe.session.user}, as_dict=True)
> CRITICAL: NEVER use f-strings, % formatting, or string concatenation in SQL. See SQL Injection Prevention.
frappe.db.sql(query) # Tuple of tuples (default)
frappe.db.sql(query, as_dict=True) # List of dicts
frappe.db.sql(query, as_list=True) # List of lists
ALWAYS use backtick-quoted tab prefix: tabSales Invoice , tabTask
frappe.db.multisql({
'mariadb': "SELECT IFNULL(field, 0) FROM `tabDoc`",
'postgres': "SELECT COALESCE(field, 0) FROM `tabDoc`"
})
The Query Builder uses PyPika under the hood. It generates parameterized SQL automatically.
Task = frappe.qb.DocType('Task')
results = (
frappe.qb.from_(Task)
.select(Task.name, Task.subject, Task.status)
.where(Task.status == 'Open')
.orderby(Task.creation, order='desc')
.limit(10)
).run(as_dict=True)
SI = frappe.qb.DocType('Sales Invoice')
Customer = frappe.qb.DocType('Customer')
results = (
frappe.qb.from_(SI)
.inner_join(Customer).on(SI.customer == Customer.name)
.select(SI.name, SI.grand_total, Customer.customer_name)
.where(SI.docstatus == 1)
).run(as_dict=True)
from frappe.query_builder.functions import Count, Sum, Avg
stats = (
frappe.qb.from_(Task)
.select(Task.status, Count(Task.name).as_('count'))
.groupby(Task.status)
).run(as_dict=True)
customers = frappe.qb.DocType('Customer')
results = (
frappe.qb.from_(customers)
.select(customers.name)
.where(
(customers.territory == 'US') | (customers.territory == 'UK')
)
).run(as_dict=True)
query = frappe.qb.from_(Task).select('*').where(Task.name == 'X')
sql, params = query.walk() # Returns (sql_string, param_dict)
sql_str = query.get_sql() # Returns SQL string
> See references/query-patterns.md for subqueries, ImportMapper, ConstantColumn, and custom functions.
doc = frappe.get_cached_doc('Company', 'My Company') # Full document
val = frappe.db.get_value('Company', 'X', 'country', cache=True) # Single value
frappe.cache.set_value('key', data, expires_in_sec=3600)
data = frappe.cache.get_value('key')
frappe.cache.delete_value('key')
from frappe.utils.caching import redis_cache
@redis_cache(ttl=300)
def get_dashboard_data(user):
return expensive_calculation(user)
# Invalidate
get_dashboard_data.clear_cache()
> See references/caching-patterns.md for hash operations, invalidation strategies, and best practices.
The framework manages transactions automatically:
| Context | Commit | Rollback |
|---------|--------|----------|
| POST/PUT request | After success | On uncaught exception |
| GET request | Never | — |
| Background job | After success | On exception |
| Patch | After success | On exception |
frappe.db.savepoint('before_payment')
try:
# operations...
frappe.db.commit()
except Exception:
frappe.db.rollback(save_point='before_payment')
frappe.db.after_commit.add(sync_to_external_system)
frappe.db.after_rollback.add(cleanup_external_state)
CRITICAL SECURITY RULE: NEVER interpolate user input into SQL strings.
# ❌ VULNERABLE — SQL injection risk
frappe.db.sql(f"SELECT * FROM `tabUser` WHERE name = '{user_input}'")
frappe.db.sql("SELECT * FROM `tabUser` WHERE name = '%s'" % user_input)
frappe.db.sql("SELECT * FROM `tabUser` WHERE name = " + user_input)
# ✅ SAFE — parameterized query
frappe.db.sql("SELECT * FROM `tabUser` WHERE name = %(name)s", {'name': user_input})
# ✅ SAFE — ORM / Query Builder (always parameterized)
frappe.get_all('User', filters={'name': user_input})
User = frappe.qb.DocType('User')
frappe.qb.from_(User).select('*').where(User.name == user_input).run()
RULE: When you MUST use frappe.db.sql(), ALWAYS use %(param)s placeholders with a dict. The Query Builder (frappe.qb) is ALWAYS preferred over raw SQL for new code.
| Feature | v14 | v15 | v16 |
|---------|-----|-----|-----|
| Query Builder (frappe.qb) | Yes | Yes | Yes |
| Transaction hooks | No | Yes | Yes |
| bulk_update | No | Yes | Yes |
| run=False returns | SQL string | SQL string | Query Builder object |
| Aggregate field syntax | String | String | Dict |
# v14/v15 — string aggregates
fields=['count(name) as count']
# v16 — dict aggregates
fields=[{'COUNT': 'name', 'as': 'count'}]
# v14/v15 — run=False returns SQL string
sql = frappe.db.get_list('Task', run=False)
# v16 — run=False returns Query Builder object
qb_obj = frappe.db.get_list('Task', run=False)
sql = qb_obj.get_sql()
frappe.db.commit() inside controller hooks (validate, on_update, etc.)page_length parameterfields=['*'] in productionfrappe.db.exists() for existence checks — NEVER try/except with get_doctab in raw SQL: tabSales Invoice frappe.qb over frappe.db.sql() for new code10. NEVER use frappe.db.truncate() without understanding it CANNOT be rolled back
For complex queries (joins, aggregations, subqueries, cross-DB compatibility), see frappe-syntax-query-builder.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
Access ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.
Query NCBI ClinVar for variant clinical significance. Search by gene/position, interpret pathogenicity classifications, access via E-utilities API or FTP, annotate VCFs, for genomic medicine.
Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
Take impertio-studio/frappe-core-database from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.