📋 Structured Data Tables

Flocon supports structured data tables (Kotlin Multiplatform compatible). These allow your app to stream rows of multi-column data directly to the desktop interface for real-time inspection.

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Overview

Common use cases: - Inspecting active in-memory user sessions or authentication states. - Streaming custom business domain telemetry. - Monitoring cache keys and eviction events. - Tracking queued background jobs or workers.

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Logging Table Rows

To log a row into a named table, call floconTable(...) and pass columns using the toParam DSL:

floconTable("active_sessions").log(
    "user_id" toParam "1024",
    "name" toParam "Raphael",
    "status" toParam "Active",
    "last_seen" toParam "2026-08-14 17:30"
)

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Real-Time Event Tracking

Every .log() invocation appends a row with real-time updates:

fun onUserAction(user: User, action: String) {
    floconTable("user_actions").log(
        "timestamp" toParam System.currentTimeMillis().toString(),
        "user" toParam user.name,
        "action" toParam action
    )
}