Files
Baradb/tests/test_schema_persist.nim
T

373 lines
15 KiB
Nim

## Schema persistence — CREATE TABLE / data survive reopen
import std/unittest
import std/os
import std/strutils
import std/tables
import barabadb/storage/lsm
import barabadb/query/executor
import barabadb/query/parser
import barabadb/fts/engine
import barabadb/vector/engine as vengine
import barabadb/graph/engine as gengine
proc execSql(ctx: ExecutionContext, sql: string): ExecResult =
let node = parse(sql)
result = executeQuery(ctx, node)
suite "Schema persistence":
test "CREATE TABLE survives flush + reopen":
let dir = "/tmp/baradb_schema_persist_1"
removeDir(dir)
block:
var db = newLSMTree(dir, 1024) # small memtable → forces flush
var ctx = newExecutionContext(db)
let r = execSql(ctx, "CREATE TABLE users (id INT PRIMARY KEY, name TEXT NOT NULL)")
check r.success
check ctx.tables.hasKey("users")
check ctx.tables["users"].columns.len == 2
discard execSql(ctx, "INSERT INTO users (id, name) VALUES (1, 'Alice')")
discard execSql(ctx, "INSERT INTO users (id, name) VALUES (2, 'Bob')")
db.flush()
# Schema key must be durable
let (found, _) = db.get(tableSchemaKey("users"))
check found
db.close()
# Reopen fresh context (simulates process restart)
block:
var db2 = newLSMTree(dir, 1024)
var ctx2 = newExecutionContext(db2)
check ctx2.tables.hasKey("users")
check ctx2.tables["users"].columns.len == 2
check ctx2.tables["users"].pkColumns.len == 1
let sel = execSql(ctx2, "SELECT id, name FROM users ORDER BY id")
check sel.success
check sel.rows.len == 2
db2.close()
test "DROP TABLE removes schema and data":
let dir = "/tmp/baradb_schema_persist_drop"
removeDir(dir)
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE t (id INT PRIMARY KEY)").success
check execSql(ctx, "INSERT INTO t (id) VALUES (1)").success
check execSql(ctx, "DROP TABLE t").success
check not ctx.tables.hasKey("t")
let (found, _) = db.get(tableSchemaKey("t"))
check not found
# Reopen — table must not reappear
db.close()
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check not ctx2.tables.hasKey("t")
db2.close()
test "ALTER TABLE ADD COLUMN is persisted":
let dir = "/tmp/baradb_schema_persist_alter"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE items (id INT PRIMARY KEY)").success
check execSql(ctx, "ALTER TABLE items ADD COLUMN label TEXT").success
check ctx.tables["items"].columns.len == 2
db.flush()
db.close()
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check ctx2.tables.hasKey("items")
check ctx2.tables["items"].columns.len == 2
var names: seq[string] = @[]
for c in ctx2.tables["items"].columns:
names.add(c.name)
check "label" in names
db2.close()
test "Multiple tables all restored":
let dir = "/tmp/baradb_schema_persist_multi"
removeDir(dir)
block:
var db = newLSMTree(dir, 512)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE a (id INT PRIMARY KEY)").success
check execSql(ctx, "CREATE TABLE b (id INT PRIMARY KEY, a_id INT)").success
check execSql(ctx, "CREATE TABLE c (name TEXT)").success
for i in 0..20:
discard execSql(ctx, "INSERT INTO a (id) VALUES (" & $i & ")")
db.flush()
db.close()
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check ctx2.tables.hasKey("a")
check ctx2.tables.hasKey("b")
check ctx2.tables.hasKey("c")
let sel = execSql(ctx2, "SELECT id FROM a")
check sel.success
check sel.rows.len == 21
db2.close()
test "FTS index survives reopen":
let dir = "/tmp/baradb_schema_persist_fts"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE docs (id INTEGER PRIMARY KEY, content TEXT)").success
check execSql(ctx, "INSERT INTO docs (id, content) VALUES (1, 'quick brown fox')").success
check execSql(ctx, "CREATE INDEX docs_fts ON docs (content) USING FTS").success
check ctx.ftsIndexes.hasKey("docs.content")
db.close()
# Reopen fresh context (simulates process restart)
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
# Index must be rebuilt from the persisted schema key — today it is
# silently missing, so FTS queries return empty results after reopen.
check ctx2.ftsIndexes.hasKey("docs.content")
if ctx2.ftsIndexes.hasKey("docs.content"):
check ctx2.ftsIndexes["docs.content"].search("quick", limit = 10).len >= 1
let r = execSql(ctx2, "SELECT id FROM docs WHERE content @@ 'quick'")
check r.success
check r.rows.len == 1
# index keeps updating after reopen
check execSql(ctx2, "INSERT INTO docs (id, content) VALUES (2, 'quick red fox')").success
if ctx2.ftsIndexes.hasKey("docs.content"):
check ctx2.ftsIndexes["docs.content"].search("red", limit = 10).len >= 1
db2.close()
removeDir(dir)
test "HNSW vector index survives reopen":
let dir = "/tmp/baradb_schema_persist_vec"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE vecs (id INTEGER PRIMARY KEY, embedding TEXT)").success
check execSql(ctx, "INSERT INTO vecs (id, embedding) VALUES (1, '[1.0, 0.0, 0.0]')").success
check execSql(ctx, "CREATE INDEX vecs_hnsw ON vecs (embedding) USING HNSW").success
check ctx.vectorIndexes.hasKey("vecs.embedding")
db.close()
# Reopen fresh context (simulates process restart)
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
# Index must be rebuilt from the persisted schema key — today it is
# silently missing, so vector searches return empty results after reopen.
check ctx2.vectorIndexes.hasKey("vecs.embedding")
if ctx2.vectorIndexes.hasKey("vecs.embedding"):
check vengine.search(ctx2.vectorIndexes["vecs.embedding"],
@[1.0'f32, 0.0'f32, 0.0'f32], k = 5).len >= 1
# index keeps updating after reopen
check execSql(ctx2, "INSERT INTO vecs (id, embedding) VALUES (2, '[0.0, 1.0, 0.0]')").success
if ctx2.vectorIndexes.hasKey("vecs.embedding"):
check vengine.search(ctx2.vectorIndexes["vecs.embedding"],
@[0.0'f32, 1.0'f32, 0.0'f32], k = 5).len >= 1
db2.close()
removeDir(dir)
test "Unnamed FTS index survives reopen":
let dir = "/tmp/baradb_schema_persist_fts_noname"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE docs (id INTEGER PRIMARY KEY, content TEXT)").success
check execSql(ctx, "INSERT INTO docs (id, content) VALUES (1, 'quick brown fox')").success
# No index name — idxName defaults to colKey (docs.content) at execution
check execSql(ctx, "CREATE INDEX ON docs (content) USING FTS").success
check ctx.ftsIndexes.hasKey("docs.content")
db.close()
# Reopen fresh context (simulates process restart)
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
# Persisted DDL must be replayable — the dotted fallback name is not.
check ctx2.ftsIndexes.hasKey("docs.content")
if ctx2.ftsIndexes.hasKey("docs.content"):
check ctx2.ftsIndexes["docs.content"].search("quick", limit = 10).len >= 1
# Nameless persisted DDL must not confuse DROP INDEX name matching
let d = execSql(ctx2, "DROP INDEX content")
check d.success
check "docs.content" notin ctx2.ftsIndexes
let (found, _) = db2.get(SchemaFtsIndexPrefix & "docs.content")
check not found
db2.close()
block:
var db3 = newLSMTree(dir)
var ctx3 = newExecutionContext(db3)
check "docs.content" notin ctx3.ftsIndexes # no ghost rebuild
db3.close()
removeDir(dir)
test "Unnamed HNSW index survives reopen":
let dir = "/tmp/baradb_schema_persist_vec_noname"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE vecs (id INTEGER PRIMARY KEY, embedding TEXT)").success
check execSql(ctx, "INSERT INTO vecs (id, embedding) VALUES (1, '[1.0, 0.0, 0.0]')").success
# No index name — idxName defaults to colKey (vecs.embedding)
check execSql(ctx, "CREATE INDEX ON vecs (embedding) USING HNSW").success
check ctx.vectorIndexes.hasKey("vecs.embedding")
db.close()
# Reopen fresh context (simulates process restart)
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check ctx2.vectorIndexes.hasKey("vecs.embedding")
if ctx2.vectorIndexes.hasKey("vecs.embedding"):
check vengine.search(ctx2.vectorIndexes["vecs.embedding"],
@[1.0'f32, 0.0'f32, 0.0'f32], k = 5).len >= 1
let d = execSql(ctx2, "DROP INDEX embedding")
check d.success
check "vecs.embedding" notin ctx2.vectorIndexes
let (found, _) = db2.get(SchemaVecIndexPrefix & "vecs.embedding")
check not found
db2.close()
block:
var db3 = newLSMTree(dir)
var ctx3 = newExecutionContext(db3)
check "vecs.embedding" notin ctx3.vectorIndexes # no ghost rebuild
db3.close()
removeDir(dir)
test "Graph survives reopen":
let dir = "/tmp/baradb_schema_persist_graph"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE GRAPH social").success
check execSql(ctx, "INSERT INTO social_nodes (id, node_label) VALUES (1, 'person')").success
check execSql(ctx, "INSERT INTO social_nodes (id, node_label) VALUES (2, 'person')").success
check execSql(ctx, "INSERT INTO social_edges (source_id, dest_id, edge_label, weight) VALUES (1, 2, 'knows', 1.0)").success
check "social" in ctx.graphs
db.close()
# Reopen fresh context (simulates process restart)
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
# Graph must be rebuilt from the backing tables — today it is
# silently missing after reopen.
check "social" in ctx2.graphs
if "social" in ctx2.graphs:
check gengine.nodeCount(ctx2.graphs["social"]) == 2
check gengine.edgeCount(ctx2.graphs["social"]) == 1
db2.close()
removeDir(dir)
test "DROP INDEX removes FTS index and its schema key (custom name)":
let dir = "/tmp/baradb_schema_persist_dropfts"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE docs (id INTEGER PRIMARY KEY, content TEXT)").success
check execSql(ctx, "INSERT INTO docs (id, content) VALUES (1, 'quick brown fox')").success
check execSql(ctx, "CREATE INDEX docs_fts ON docs (content) USING FTS").success
check ctx.ftsIndexes.hasKey("docs.content")
# Drop by the custom index name — the in-memory key is table.col
let d = execSql(ctx, "DROP INDEX docs_fts")
check d.success
check "docs.content" notin ctx.ftsIndexes
let (found, _) = db.get(SchemaFtsIndexPrefix & "docs.content")
check not found
db.close()
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check "docs.content" notin ctx2.ftsIndexes # no ghost rebuild
db2.close()
removeDir(dir)
test "DROP INDEX removes FTS index by column key":
let dir = "/tmp/baradb_schema_persist_dropfts_col"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE docs (id INTEGER PRIMARY KEY, content TEXT)").success
check execSql(ctx, "INSERT INTO docs (id, content) VALUES (1, 'quick brown fox')").success
# No custom name — idxName defaults to colKey (docs.content)
check execSql(ctx, "CREATE INDEX ON docs (content) USING FTS").success
check ctx.ftsIndexes.hasKey("docs.content")
# Drop by column name — matches endsWith(".content")
let d = execSql(ctx, "DROP INDEX content")
check d.success
check "docs.content" notin ctx.ftsIndexes
let (found, _) = db.get(SchemaFtsIndexPrefix & "docs.content")
check not found
db.close()
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check "docs.content" notin ctx2.ftsIndexes # no ghost rebuild
db2.close()
removeDir(dir)
test "DROP INDEX removes HNSW index and its schema key":
let dir = "/tmp/baradb_schema_persist_drophnsw"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE vecs (id INTEGER PRIMARY KEY, embedding TEXT)").success
check execSql(ctx, "INSERT INTO vecs (id, embedding) VALUES (1, '[1.0, 0.0, 0.0]')").success
check execSql(ctx, "CREATE INDEX vecs_hnsw ON vecs (embedding) USING HNSW").success
check ctx.vectorIndexes.hasKey("vecs.embedding")
let d = execSql(ctx, "DROP INDEX vecs_hnsw")
check d.success
check "vecs.embedding" notin ctx.vectorIndexes
let (found, _) = db.get(SchemaVecIndexPrefix & "vecs.embedding")
check not found
db.close()
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check "vecs.embedding" notin ctx2.vectorIndexes # no ghost rebuild
db2.close()
removeDir(dir)
test "DROP TABLE removes engine indexes for that table":
let dir = "/tmp/baradb_schema_persist_droptbl"
removeDir(dir)
block:
var db = newLSMTree(dir)
var ctx = newExecutionContext(db)
check execSql(ctx, "CREATE TABLE docs (id INTEGER PRIMARY KEY, content TEXT)").success
check execSql(ctx, "INSERT INTO docs (id, content) VALUES (1, 'quick brown fox')").success
check execSql(ctx, "CREATE INDEX docs_fts ON docs (content) USING FTS").success
check execSql(ctx, "CREATE TABLE vecs (id INTEGER PRIMARY KEY, embedding TEXT)").success
check execSql(ctx, "INSERT INTO vecs (id, embedding) VALUES (1, '[1.0, 0.0, 0.0]')").success
check execSql(ctx, "CREATE INDEX vecs_hnsw ON vecs (embedding) USING HNSW").success
check ctx.ftsIndexes.hasKey("docs.content")
check ctx.vectorIndexes.hasKey("vecs.embedding")
check execSql(ctx, "DROP TABLE docs").success
check "docs.content" notin ctx.ftsIndexes
check execSql(ctx, "DROP TABLE vecs").success
check "vecs.embedding" notin ctx.vectorIndexes
let (ftsFound, _) = db.get(SchemaFtsIndexPrefix & "docs.content")
check not ftsFound
let (vecFound, _) = db.get(SchemaVecIndexPrefix & "vecs.embedding")
check not vecFound
db.close()
block:
var db2 = newLSMTree(dir)
var ctx2 = newExecutionContext(db2)
check "docs.content" notin ctx2.ftsIndexes # no ghost rebuild
check "vecs.embedding" notin ctx2.vectorIndexes
db2.close()
removeDir(dir)
test "Stable schema key format":
check tableSchemaKey("users") == "_schema:tables:users"
check serializeTableDdl(TableDef(
name: "t",
columns: @[ColumnDef(name: "id", colType: "INT", isPk: true)],
pkColumns: @["id"],
)).contains("PRIMARY KEY")