Skip to main content

system_history.log_history

Stores raw log entries ingested from various nodes. This table acts as the primary source for subsequent log transformations.

All the other log tables are derived from this table, the difference is that other log tables will do some transformations to make the data more structured.

Fields

FieldTypeDescription
timestampTIMESTAMPThe timestamp when the log entry was recorded
pathVARCHARSource file path and line number of the log
targetVARCHARTarget module or component of the log
log_levelVARCHARLog level (e.g., INFO, ERROR)
cluster_idVARCHARIdentifier of the cluster
node_idVARCHARIdentifier of the node
warehouse_idVARCHARIdentifier of the warehouse
query_idVARCHARQuery ID associated with the log
messageVARCHARLog message content
fieldsVARIANTAdditional fields (as a JSON object)
batch_numberBIGINTInternal use, no special meaning

Note: The message field stores plain text logs, while the fields field stores logs in JSON format.

For example, the fields field of a log entry might look like:

fields: {"node_id":"8R5ZMF8q0HHE6x9H7U1gr4","query_id":"72d2319a-b6d6-4b1d-8694-670137a40d87","session_id":"189fd3e2-e6ac-48c3-97ef-73094c141312","sql":"select * from system_history.log_history"}

the message field of another log entry might appear as follows:

message: [HTTP-QUERY] Preparing to plan SQL query

Examples

SELECT * FROM system_history.log_history LIMIT 1;

*************************** 1. row ***************************
timestamp: 2025-06-03 01:29:49.335455
path: databend_common_meta_client::channel_manager: channel_manager.rs:86
target: databend_common_meta_client::channel_manager
log_level: INFO
cluster_id: test_cluster
node_id: CkdmtwYXLRMhJIvVzl6i11
warehouse_id: NULL
query_id: NULL
message: MetaChannelManager done building RealClient to 127.0.0.1:9191, start handshake
fields: {}
batch_number: 41
Explore Databend Cloud for FREE
Low-cost
Fast Analytics
Easy Data Ingestion
Elastic Scaling
Try it today