Files
zeekay d9f7c4da8e the storage tier can address the backend it selects
BASE_DB_TIER=sql opened PostgreSQL and then spoke to it in SQLite: strftime,
sqlite_master, json_extract, json_each, an INTEGER column holding an int64, an
outer join with no ON, backticked identifiers, and a rowid that only one engine
has. The tier picked a backend the queries could not reach.

Every one of those now comes from hanzoai/orm/dialect, resolved once from the
driver the data DB was opened with and reachable as app.Dialect(). Base holds no
switch on the engine — it asks for the JSON accessors, the schema catalog, the
generated instant and identifier, and the column types, and it asks whether a
feature exists at all where one engine has nothing to offer: an insertion-order
column, a write-ahead log to fold, a function that renders an instant. Empty
means the caller falls back or refuses rather than emitting something the engine
will reject.

Some differences turned out not to need a dialect at all. An instant is stored
as text in a fixed layout, so bucketing the log rollup to the hour is a
substring rather than a calendar function, which every engine spells the same
way and an index can be built on. Null-safe equality is IS NOT DISTINCT FROM.
An int64 column is BIGINT. A join with nothing of its own to match still states
a condition. Case-insensitive comparison stays COLLATE NOCASE, because the
schema now asks the engine for the collation that name refers to.

The proof is a Postgres 18 running the data plane: migrations apply, a
collection created over /v1 lands as a table with text, numeric and jsonb
columns and its declared index, and records insert, page, sort, filter across
scalars, multi-value elements and JSON paths, update and delete. A unique index
declared COLLATE NOCASE rejects the second spelling of a handle.

Comparing a JSON sub-path to a number is refused there: the extraction yields
text, the literal binds as a number, and the filter language does not say which
the comparison meant. Compared as text it works.
2026-08-11 10:39:19 -07:00

46 lines
1.1 KiB
Go

package dbutils_test
import (
"strings"
"testing"
"github.com/hanzoai/base/tools/dbutils"
"github.com/hanzoai/orm/dialect"
)
// The engine's spelling is the dialect's to get right, and it is tested there
// by executing it. What this layer owes its callers is the bracketing dbx
// expects around a column name, and a path that reads as a member unless it
// already opens with an index.
func TestJSONColumnIsBracketed(t *testing.T) {
d := dialect.For("sqlite")
for name, got := range map[string]string{
"each": dbutils.JSONEach(d, "a.b"),
"length": dbutils.JSONArrayLength(d, "a.b"),
"extract": dbutils.JSONExtract(d, "a.b", ""),
} {
if strings.Contains(got, "[[a.b]]") {
continue
}
t.Errorf("%s did not bracket the column: %s", name, got)
}
}
func TestJSONExtractPath(t *testing.T) {
d := dialect.For("sqlite")
for path, want := range map[string]string{
"": "'$'",
"a": "'$.a'",
"a.b": "'$.a.b'",
"[0]": "'$[0]'",
"[0].a": "'$[0].a'",
} {
if got := dbutils.JSONExtract(d, "col", path); !strings.Contains(got, want) {
t.Errorf("path %q produced %s, wanted it to carry %s", path, got, want)
}
}
}