dctdb 1.11.0

Pure Python in-memory database with SQL-like queries

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DictDB is a pure Python in-memory database with SQL-like queries.

Installation

pip install dctdb

The PyPI package is dctdb, but the import is dictdb.

Features

• SQL-like CRUD — insert, select, update, delete, upsert
• Query DSL — table.age >= 18, table.name.like("A%"), table.salary.between(50000, 100000)
• Logical operators — And, Or, Not for readable complex queries
• Aggregations — Count, Sum, Avg, Min, Max with GROUP BY
• Indexes — Hash (O(1) lookup) and Sorted (range queries)
• Schemas — Optional type validation
• CSV import/export — Load from and save to CSV files
• Persistence — JSON and Pickle formats with async support
• Automatic backups — Periodic and incremental backup manager
• Thread-safe — Reader-writer locks per table

Quick Example

from dictdb import DictDB, And, Count, Avg

db = DictDB()
db.create_table("users", primary_key="id")
users = db.get_table("users")

# Insert
users.insert({"name": "Alice", "age": 30, "dept": "IT"})
users.insert({"name": "Bob", "age": 25, "dept": "HR"})

# Query with DSL (Condition wrapper is optional)
users.select(where=users.age >= 25)
users.select(where=users.dept == "IT", order_by="-age", limit=10)

# Combine conditions with And/Or/Not
users.select(where=And(users.dept == "IT", users.age >= 25))

# Aggregations
users.aggregate(count=Count(), avg_age=Avg("age"))
users.aggregate(group_by="dept", count=Count())

# Persistence
db.save("data.json", file_format="json")

CSV Import/Export

# Import CSV into a new table
db.import_csv("users.csv", "users", primary_key="id")

# Export table to CSV
users.export_csv("backup.csv")
users.export_csv("it_dept.csv", where=users.dept == "IT")

Documentation

mhbxyz.github.io/dictdb

License

Apache 2.0