import { useState } from "react"; import { TSQLEditor } from "~/components/code/TSQLEditor"; import { column, type TableSchema } from "@internal/tsql"; const RUN_STATUSES = ["PENDING", "QUEUED", "EXECUTING", "COMPLETED", "FAILED", "CANCELED"] as const; const LOG_LEVELS = ["DEBUG", "INFO", "WARN", "ERROR"] as const; const runsSchema: TableSchema = { name: "runs", clickhouseName: "trigger_dev.task_runs_v2", description: "Task runs table - stores all task execution records", tenantColumns: { organizationId: "organization_id", projectId: "project_id", environmentId: "environment_id", }, columns: { id: { name: "id", ...column("String", { description: "Unique run identifier" }) }, task_id: { name: "task_id", ...column("String", { description: "Task identifier" }) }, status: { name: "status", ...column("String", { description: "Run status", allowedValues: [...RUN_STATUSES], }), }, created_at: { name: "created_at", ...column("DateTime64", { description: "When the run was created" }), }, started_at: { name: "started_at", ...column("Nullable(DateTime64)", { description: "When the run started executing" }), }, completed_at: { name: "completed_at", ...column("Nullable(DateTime64)", { description: "When the run completed" }), }, duration_ms: { name: "duration_ms", ...column("Nullable(UInt64)", { description: "Run duration in milliseconds" }), }, // Virtual column: computed from started_at and completed_at execution_duration: { name: "execution_duration", ...column("Nullable(Int64)", { description: "Computed execution time in milliseconds (virtual column)", }), expression: "dateDiff('millisecond', started_at, completed_at)", }, // Virtual column: duration in seconds for convenience duration_seconds: { name: "duration_seconds", ...column("Float64", { description: "Duration in seconds (virtual column)", }), expression: "duration_ms / 1000.0", }, organization_id: { name: "organization_id", ...column("String") }, project_id: { name: "project_id", ...column("String") }, environment_id: { name: "environment_id", ...column("String") }, }, }; const logsSchema: TableSchema = { name: "logs", clickhouseName: "trigger_dev.task_events_v2", description: "Task logs and events", tenantColumns: { organizationId: "organization_id", projectId: "project_id", environmentId: "environment_id", }, columns: { id: { name: "id", ...column("String", { description: "Event identifier" }) }, run_id: { name: "run_id", ...column("String", { description: "Associated run ID" }) }, level: { name: "level", ...column("String", { description: "Log level", allowedValues: [...LOG_LEVELS], }), }, message: { name: "message", ...column("String", { description: "Log message content" }) }, timestamp: { name: "timestamp", ...column("DateTime64", { description: "Event timestamp" }) }, organization_id: { name: "organization_id", ...column("String") }, project_id: { name: "project_id", ...column("String") }, environment_id: { name: "environment_id", ...column("String") }, }, }; const exampleSchema = [runsSchema, logsSchema]; const exampleQueries = [ { name: "Simple SELECT", query: "SELECT * FROM runs LIMIT 10", }, { name: "With WHERE clause", query: "SELECT id, task_id, status, created_at FROM runs WHERE status = 'COMPLETED' LIMIT 100", }, { name: "Enum IN clause", query: "SELECT * FROM runs WHERE status IN ('PENDING', 'QUEUED', 'EXECUTING') LIMIT 50", }, { name: "Virtual columns", query: `SELECT id, status, execution_duration, duration_seconds FROM runs WHERE execution_duration > 5000 ORDER BY execution_duration DESC LIMIT 20`, }, { name: "Aggregation", query: "SELECT status, count(*) as count FROM runs GROUP BY status ORDER BY count DESC", }, { name: "Join query", query: `SELECT runs.id, runs.status, logs.message, logs.level FROM runs JOIN logs ON runs.id = logs.run_id WHERE logs.level = 'ERROR' LIMIT 50`, }, { name: "Date filtering", query: `SELECT toStartOfDay(created_at) as day, count(*) as runs_count, avg(duration_ms) as avg_duration FROM runs WHERE created_at > now() - INTERVAL 7 DAY GROUP BY day ORDER BY day DESC`, }, ]; export default function Story() { const [query, setQuery] = useState(exampleQueries[0].query); return (
A CodeMirror-based SQL editor with syntax highlighting, schema-aware autocomplete, and real-time error detection.
Try typing to see autocomplete suggestions. Type status = to see enum value
suggestions. Available tables: runs, logs
Editor without schema - still has SQL syntax highlighting and keyword completion.
The linter detects syntax errors and underlines them in red.
The linter validates enum values against the schema. Try changing{" "}
'INVALID_STATUS' to a valid status like 'COMPLETED'.
The linter warns about unknown column names. Try changing unknown_col to a
valid column like status.
{table.description}
{name}
{col.type}
{col.expression && (
virtual
)}
{col.description && (
- {col.description}
)}