search: index business entities + dataset quick-filters

Build dedicated de-duplicated entity indices (atc-customers ~39k,
atc-employees ~39k, atc-products) from Trino so users can search by
customer/employee name, id and email directly instead of scanning raw
transaction rows. Raise per-table sample caps for the big source tables
(sales_orders, employee_events, supplychain events, device_metrics) and
all iceberg/Hadoop tables for broader row-level coverage.

UI: add Datasets quick-filter chips (Customers, Employees, Products,
Sales orders, HR events, Supply chain, Telemetry, Lakehouse) and default
the Search tab to business data instead of an infra-looking empty view.
This commit is contained in:
mo
2026-06-28 16:37:31 +00:00
parent 3a054ac13d
commit 8a8d779328
2 changed files with 116 additions and 6 deletions
+68 -4
View File
@@ -30,7 +30,36 @@ INDEX_PREFIX = "atc-"
# Trino catalogs to index (skip system + streaming kafka).
INDEX_CATALOGS = ("postgres_sales", "mysql_hr", "mongodb_supplychain", "cassandra_telemetry", "iceberg")
SKIP_SCHEMAS = {"information_schema", "sys", "performance_schema", "config", "local", "admin"}
ROWS_PER_TABLE = int(os.getenv("ES_ROWS_PER_TABLE", "500"))
ROWS_PER_TABLE = int(os.getenv("ES_ROWS_PER_TABLE", "1000"))
# big source tables we want broadly searchable (row-level)
ROWS_BUSINESS = int(os.getenv("ES_ROWS_BUSINESS", "15000"))
BUSINESS_TABLES = {
("postgres_sales", "public", "sales_orders"),
("mysql_hr", "hr", "employee_events"),
("mongodb_supplychain", "supplychain", "events"),
("cassandra_telemetry", "telemetry", "device_metrics"),
}
# de-duplicated business entities so users can search people/customers by name + id
ENTITY_QUERIES = [
(
"atc-customers", "customers", "customer",
'SELECT DISTINCT customer_id, customer_name, customer_email, region, sales_channel, currency '
'FROM "postgres_sales"."public"."sales_orders" WHERE customer_id IS NOT NULL LIMIT 50000',
"customer_id",
),
(
"atc-employees", "employees", "employee",
'SELECT DISTINCT employee_id, employee_name, employee_email, employee_phone, department, role_name, region '
'FROM "mysql_hr"."hr"."employee_events" WHERE employee_id IS NOT NULL LIMIT 50000',
"employee_id",
),
(
"atc-products", "products", "product",
'SELECT DISTINCT product_id, region, sales_channel FROM "postgres_sales"."public"."sales_orders" '
'WHERE product_id IS NOT NULL LIMIT 50000',
"product_id",
),
]
router = APIRouter(prefix="/api/search", tags=["search"])
@@ -316,8 +345,8 @@ def _meta(catalog: str, schema: str, table: str, source: str) -> dict:
}
def _index_trino_table(sqlmod, client: httpx.Client, catalog: str, schema: str, table: str) -> int:
res = sqlmod._run_trino(f'SELECT * FROM "{catalog}"."{schema}"."{table}" LIMIT {ROWS_PER_TABLE}', ROWS_PER_TABLE)
def _index_trino_table(sqlmod, client: httpx.Client, catalog: str, schema: str, table: str, limit: int = ROWS_PER_TABLE) -> int:
res = sqlmod._run_trino(f'SELECT * FROM "{catalog}"."{schema}"."{table}" LIMIT {limit}', limit)
if not res.get("ok"):
raise RuntimeError(res.get("error", "query failed")[:200])
cols = res.get("columns", [])
@@ -334,6 +363,37 @@ def _index_trino_table(sqlmod, client: httpx.Client, catalog: str, schema: str,
return written
def _index_entities(sqlmod, client: httpx.Client) -> int:
"""Build de-duplicated entity indices (customers, employees, products) so users
can search by name / id directly instead of scanning raw transaction rows."""
written = 0
for index, catalog_label, schema_label, sql, id_field in ENTITY_QUERIES:
_reindex_state["current"] = f"entities · {catalog_label}"
try:
res = sqlmod._run_trino(sql, 50000)
if not res.get("ok"):
_reindex_state["errors"].append(f"{index}: {res.get('error', 'failed')[:120]}")
continue
cols = res.get("columns", [])
rows = res.get("rows", [])
docs = []
for row in rows:
doc = {cols[i]: row[i] for i in range(min(len(cols), len(row)))}
ident = doc.get(id_field)
doc["meta"] = _meta(catalog_label, schema_label, id_field, catalog_label)
docs.append((f"{schema_label}:{ident}", doc))
n = 0
for i in range(0, len(docs), 500):
n += _bulk(client, index, docs[i:i + 500])
_reindex_state["indices"][index] = n
_reindex_state["total_docs"] += n
_reindex_state["log"].append(f"{index}{n} entities")
written += n
except Exception as exc: # noqa: BLE001
_reindex_state["errors"].append(f"{index}: {str(exc)[:120]}")
return written
def _index_neo4j(sqlmod, client: httpx.Client) -> int:
written = 0
try:
@@ -396,6 +456,9 @@ def _reindex_worker():
_reindex_state["current"] = "catalog inventory"
_reindex_state["total_docs"] += _index_catalog(client)
# business entities (customers / employees / products) — the headline searchables
_index_entities(sqlmod, client)
# Trino-federated source data
cat_res = sqlmod._run_trino("SHOW CATALOGS", 100)
catalogs = [r[0] for r in cat_res.get("rows", [])] if cat_res.get("ok") else list(INDEX_CATALOGS)
@@ -420,7 +483,8 @@ def _reindex_worker():
for table in tables:
_reindex_state["current"] = f"{catalog}.{schema}.{table}"
try:
n = _index_trino_table(sqlmod, client, catalog, schema, table)
cap = ROWS_BUSINESS if (catalog, schema, table) in BUSINESS_TABLES or catalog == "iceberg" else ROWS_PER_TABLE
n = _index_trino_table(sqlmod, client, catalog, schema, table, cap)
idx = _sanitize_index(catalog, schema, table)
_reindex_state["indices"][idx] = n
_reindex_state["total_docs"] += n
+48 -2
View File
@@ -126,7 +126,7 @@ export function SearchView() {
useEffect(() => { load(); loadSourceAgg() }, [load, loadSourceAgg])
useEffect(() => { loadIndices() }, [loadIndices])
const runSearch = useCallback(async (resetFrom = true) => {
const runSearch = useCallback(async (resetFrom = true, indicesOverride?: string[]) => {
setSearching(true)
setSearchError(null)
const nextFrom = resetFrom ? 0 : from
@@ -137,7 +137,7 @@ export function SearchView() {
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
q,
indices: [...selected],
indices: indicesOverride ?? [...selected],
filters,
from: nextFrom,
size,
@@ -166,6 +166,22 @@ export function SearchView() {
setFilters((f) => (f.some((x) => x.field === field && x.value === value) ? f : [...f, { field, value }]))
}
const applyPreset = (test: ((n: string) => boolean) | null) => {
const names = test ? indices.map((i) => i.name).filter(test) : []
setSelected(new Set(names))
runSearch(true, names)
}
// show business data immediately instead of an empty/infra-looking view
const didInit = useRef(false)
useEffect(() => {
if (didInit.current || indices.length === 0) return
didInit.current = true
const cust = indices.find((i) => i.name === 'atc-customers')
if (cust) applyPreset((n) => n === 'atc-customers')
/* eslint-disable-next-line */
}, [indices])
const toggleIndex = (name: string) => {
setSelected((s) => {
const n = new Set(s)
@@ -328,6 +344,36 @@ export function SearchView() {
</div>
</div>
{/* dataset quick filters */}
<div className="flex shrink-0 flex-wrap items-center gap-1.5 border-b border-border px-3 pt-3 text-[10px]">
<span className="mr-1 font-semibold uppercase tracking-wider text-foreground-faint">Datasets</span>
{[
{ label: 'All data', test: null as ((n: string) => boolean) | null },
{ label: 'Customers', test: (n: string) => n === 'atc-customers' },
{ label: 'Employees', test: (n: string) => n === 'atc-employees' },
{ label: 'Products', test: (n: string) => n === 'atc-products' },
{ label: 'Sales orders', test: (n: string) => n.includes('sales-orders') && !n.includes('masked') },
{ label: 'HR events', test: (n: string) => n.includes('employee-events') },
{ label: 'Supply chain', test: (n: string) => n.includes('supplychain') },
{ label: 'Telemetry', test: (n: string) => n.includes('device-metrics') },
{ label: 'Lakehouse (Hadoop)', test: (n: string) => n.startsWith('atc-iceberg') },
].map((p) => {
const names = p.test ? indices.map((i) => i.name).filter(p.test) : []
const active = p.test ? names.length > 0 && names.every((n) => selected.has(n)) && selected.size === names.length : selected.size === 0
if (p.test && names.length === 0) return null
return (
<button
key={p.label}
type="button"
onClick={() => applyPreset(p.test)}
className={cn('rounded-full border px-2.5 py-1 font-medium transition-colors', active ? 'border-docker bg-docker/15 text-docker' : 'border-border text-foreground-muted hover:bg-surface-overlay')}
>
{p.label}
</button>
)
})}
</div>
{/* search bar */}
<div className="shrink-0 space-y-2 border-b border-border p-3">
<div className="flex flex-wrap gap-2">