Jump to content

Connect SuperML | Leeroopedia MCP: Equip your AI agents with best practices, code verification, and debugging knowledge. Powered by Leeroo — building Organizational Superintelligence. Contact us at founders@leeroo.com.

Implementation:Eventual Inc Daft Session Write Table

From Leeroopedia


Knowledge Sources
Domains Data_Engineering, Catalog_Management
Last Updated 2026-02-08 00:00 GMT

Overview

Concrete tool for writing DataFrame data to a named catalog table through a Daft Session provided by the Daft library.

Description

The write_table method on Session writes a DataFrame to a table identified by name. It first resolves the string identifier to an Identifier object if necessary, then looks up the table via self._session.get_table(identifier._ident), and finally calls the table's write method with the DataFrame, mode, and any additional options. The write mode defaults to "append".

Usage

Call sess.write_table("table_name", df) on a Session instance. Use for writing data to catalog-managed tables.

Code Reference

Source Location

  • Repository: Daft
  • File: daft/session.py
  • Lines: L627-645

Signature

def write_table(
    self,
    identifier: Identifier | str,
    df: DataFrame,
    mode: Literal["append", "overwrite"] = "append",
    **options: dict[str, Any],
) -> None

Import

from daft.session import Session

sess = Session()
sess.write_table("my_table", df, mode="append")

I/O Contract

Inputs

Name Type Required Description
identifier str Yes Table name or fully qualified identifier for the target table.
df DataFrame Yes The DataFrame containing the data to write.
mode Literal["append", "overwrite"] No Write mode. "append" adds data to the existing table; "overwrite" replaces all existing data. Defaults to "append".
**options dict[str, Any] No Additional format-specific write options passed through to the table implementation.

Outputs

Name Type Description
return None No return value. Data is written to the catalog table as a side effect.

Usage Examples

Basic Usage

from daft.session import Session
import daft

sess = Session()
sess.attach_catalog(my_catalog, "warehouse")
sess.set_catalog("warehouse")
sess.set_namespace("analytics")

df = daft.from_pydict({"id": [1, 2, 3], "value": ["a", "b", "c"]})

# Append data to an existing table
sess.write_table("events", df, mode="append")

# Overwrite all data in a table
sess.write_table("events", df, mode="overwrite")

Related Pages

Implements Principle

Requires Environment

Page Connections

Double-click a node to navigate. Hold to expand connections.
Principle
Implementation
Heuristic
Environment