influxdata/influxdb · error · Error

Field not found in table buffer

Error message

Field not found in table buffer: {0}

What it means

This error is thrown by the in-memory table buffer in influxdb3_write when a caller requests a field by name that does not exist in the buffer's field set. It surfaces from lookup/accessor APIs on TableBuffer (e.g. retrieving a column/field to build Arrow data). It is a lookup failure: the requested field name is misspelled, was never written, or was dropped from the buffer.

Solutions

1. Print or inspect the buffer's schema (the buffer's Arrow schema / field list) and compare against the requested name; fix any typo or casing mismatch.
2. Verify the field was actually written for this table before reading it — check the write path / Line Protocol payload.
3. Handle the absent field gracefully: check membership in the schema before lookup and return an empty/null column instead of erroring.
4. If the field was intentionally removed, update the reader/query code to the current schema.

Example fix

// before
let col = buffer.field("temp").map_err(Error::FieldNotFound)?;

// after
let col = match buffer.field("temperature") {
    Some(c) => c,
    None => return Err(Error::FieldNotFound("temperature".to_string())), // or treat as empty column
};

let field_name = "temperature";
if buffer.schema().fields().iter().all(|f| f.name() != field_name) {
    // field absent: skip, default, or return an empty column instead of calling the lookup
}

fn has_field(schema: &arrow::datatypes::SchemaRef, name: &str) -> bool {
    schema.field_with_name(name).is_ok()
}

match buffer.field(name) {
    Ok(col) => use_column(col),
    Err(Error::FieldNotFound(f)) => log::warn("missing field {f}, using default"),
    Err(e) => return Err(e),
}

When it happens

Trigger: Calling a TableBuffer method that resolves a field by name (e.g. field lookup before record-batch creation or chunk reads) with a field name that is absent from the buffer's schema — typically a misspelled column name, a field that was never written for that table, or a name queried after the field was removed from the schema.

Common situations: Typos in field names when querying chunks; schema drift where the writer stopped emitting a field before a reader still expects it; case-sensitivity mismatches (Line Protocol fields are case-sensitive); code written against an older table schema that has since changed.

Understand the failure class

Background: Record Not Found Errors: "not found", RecordNotFound, and "was not found" — what they mean and how to fix them — this error's family across 28 libraries.

Related errors

• Error creating record batch
• unable to compose record batches from databases
• unexpected batch schema mismatch: expected
• column id in series key should be valid
• error from table buffer

AI-assisted analysis of influxdata/influxdb@06200ef96b (2026-09-19). Data as JSON: /api/errors/795609a42f737598. Report an issue: GitHub.

Appendix: source

Thrown at influxdb3_write/src/write_buffer/table_buffer.rs:29

use arrow::record_batch::RecordBatch;
use data_types::TimestampMinMax;
use hashbrown::{HashMap, HashSet};
use influxdb3_catalog::catalog::{TableDefinition, legacy};
use influxdb3_id::ColumnId;
use influxdb3_wal::{FieldData, Row};
use schema::{InfluxColumnType, InfluxFieldType, Schema, SchemaBuilder};
use std::collections::BTreeMap;
use std::collections::btree_map::Entry;
use std::mem::size_of;
use std::ops::Range;
use std::sync::Arc;
use thiserror::Error;

use crate::ChunkFilter;

#[derive(Debug, Error)]
pub enum Error {
    #[error("Field not found in table buffer: {0}")]
    FieldNotFound(String),

    #[error("Error creating record batch: {0}")]
    RecordBatchError(#[from] arrow::error::ArrowError),

    #[error("row range {start}..{end} is out of bounds for a chunk of {row_count} rows")]
    RowRangeOutOfBounds {
        start: usize,
        end: usize,
        row_count: usize,
    },
}

pub(crate) type Result<T, E = Error> = std::result::Result<T, E>;

#[derive(Default)]
pub struct TableBuffer {
    chunk_time_to_chunks: BTreeMap<i64, ChunkTimeBuffer>,

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