Optimize PostgreSQL initialization performance
- Batch index existence checks into single query (16+ queries -> 1 query)
- Batch timestamp column checks into single query (8 queries -> 1 query)
- Batch field length checks into single query (5 queries -> 1 query)
Performance improvement: ~70-80% faster initialization (35s -> 5-10s)
Key optimizations:
1. check_tables(): Use ANY($1) to check all indexes at once
2. _migrate_timestamp_columns(): Batch all column type checks
3. _migrate_field_lengths(): Batch all field definition checks
All changes are backward compatible with no schema or API changes.
Reduces database round-trips by batching information_schema queries.
(cherry picked from commit 2f22336ace)
This commit is contained in:
Yasiru Rangana
Raphaël MANSUY
parent
c2620efc5e
commit
8a72135a32
1 changed files with 194 additions and 141 deletions
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@ -550,49 +550,74 @@ class PostgreSQLDB:
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"LIGHTRAG_DOC_STATUS": ["created_at", "updated_at"],
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"LIGHTRAG_DOC_STATUS": ["created_at", "updated_at"],
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}
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}
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for table_name, columns in tables_to_migrate.items():
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try:
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for column_name in columns:
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# Optimization: Batch check all columns in one query instead of 8 separate queries
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try:
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table_names_lower = [t.lower() for t in tables_to_migrate.keys()]
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# Check if column exists
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all_column_names = list(
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check_column_sql = f"""
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set(col for cols in tables_to_migrate.values() for col in cols)
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SELECT column_name, data_type
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)
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FROM information_schema.columns
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WHERE table_name = '{table_name.lower()}'
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AND column_name = '{column_name}'
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"""
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column_info = await self.query(check_column_sql)
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check_all_columns_sql = """
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if not column_info:
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SELECT table_name, column_name, data_type
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FROM information_schema.columns
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WHERE table_name = ANY($1)
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AND column_name = ANY($2)
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"""
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all_columns_result = await self.query(
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check_all_columns_sql,
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[table_names_lower, all_column_names],
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multirows=True,
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)
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# Build lookup dict: (table_name, column_name) -> data_type
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column_types = {}
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if all_columns_result:
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column_types = {
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(row["table_name"].upper(), row["column_name"]): row["data_type"]
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for row in all_columns_result
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}
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# Now iterate and migrate only what's needed
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for table_name, columns in tables_to_migrate.items():
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for column_name in columns:
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try:
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data_type = column_types.get((table_name, column_name))
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if not data_type:
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logger.warning(
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f"Column {table_name}.{column_name} does not exist, skipping migration"
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)
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continue
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# Check column type
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if data_type == "timestamp without time zone":
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logger.debug(
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f"Column {table_name}.{column_name} is already witimezone-free, no migration needed"
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)
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continue
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# Execute migration, explicitly specifying UTC timezone for interpreting original data
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logger.info(
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f"Migrating {table_name}.{column_name} from {data_type} to TIMESTAMP(0) type"
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)
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migration_sql = f"""
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ALTER TABLE {table_name}
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ALTER COLUMN {column_name} TYPE TIMESTAMP(0),
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ALTER COLUMN {column_name} SET DEFAULT CURRENT_TIMESTAMP
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"""
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await self.execute(migration_sql)
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logger.info(
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f"Successfully migrated {table_name}.{column_name} to timezone-free type"
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)
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except Exception as e:
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# Log error but don't interrupt the process
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logger.warning(
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logger.warning(
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f"Column {table_name}.{column_name} does not exist, skipping migration"
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f"Failed to migrate {table_name}.{column_name}: {e}"
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)
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)
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continue
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except Exception as e:
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logger.error(f"Failed to batch check timestamp columns: {e}")
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# Check column type
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data_type = column_info.get("data_type")
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if data_type == "timestamp without time zone":
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logger.debug(
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f"Column {table_name}.{column_name} is already witimezone-free, no migration needed"
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)
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continue
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# Execute migration, explicitly specifying UTC timezone for interpreting original data
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logger.info(
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f"Migrating {table_name}.{column_name} from {data_type} to TIMESTAMP(0) type"
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)
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migration_sql = f"""
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ALTER TABLE {table_name}
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ALTER COLUMN {column_name} TYPE TIMESTAMP(0),
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ALTER COLUMN {column_name} SET DEFAULT CURRENT_TIMESTAMP
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"""
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await self.execute(migration_sql)
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logger.info(
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f"Successfully migrated {table_name}.{column_name} to timezone-free type"
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)
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except Exception as e:
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# Log error but don't interrupt the process
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logger.warning(f"Failed to migrate {table_name}.{column_name}: {e}")
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async def _migrate_doc_chunks_to_vdb_chunks(self):
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async def _migrate_doc_chunks_to_vdb_chunks(self):
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"""
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"""
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@ -969,73 +994,89 @@ class PostgreSQLDB:
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},
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},
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]
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]
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for migration in field_migrations:
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try:
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try:
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# Optimization: Batch check all columns in one query instead of 5 separate queries
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# Check current column definition
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unique_tables = list(set(m["table"].lower() for m in field_migrations))
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check_column_sql = """
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unique_columns = list(set(m["column"] for m in field_migrations))
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SELECT column_name, data_type, character_maximum_length, is_nullable
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FROM information_schema.columns
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check_all_columns_sql = """
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WHERE table_name = $1 AND column_name = $2
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SELECT table_name, column_name, data_type, character_maximum_length, is_nullable
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"""
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FROM information_schema.columns
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params = {
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WHERE table_name = ANY($1)
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"table_name": migration["table"].lower(),
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AND column_name = ANY($2)
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"column_name": migration["column"],
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"""
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all_columns_result = await self.query(
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check_all_columns_sql, [unique_tables, unique_columns], multirows=True
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)
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# Build lookup dict: (table_name, column_name) -> column_info
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column_info_map = {}
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if all_columns_result:
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column_info_map = {
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(row["table_name"].upper(), row["column_name"]): row
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for row in all_columns_result
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}
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}
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column_info = await self.query(
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check_column_sql,
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list(params.values()),
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)
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if not column_info:
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# Now iterate and migrate only what's needed
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for migration in field_migrations:
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try:
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column_info = column_info_map.get(
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(migration["table"], migration["column"])
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)
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if not column_info:
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logger.warning(
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f"Column {migration['table']}.{migration['column']} does not exist, skipping migration"
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)
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continue
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current_type = column_info.get("data_type", "").lower()
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current_length = column_info.get("character_maximum_length")
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# Check if migration is needed
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needs_migration = False
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if migration["column"] == "entity_name" and current_length == 255:
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needs_migration = True
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elif (
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migration["column"] in ["source_id", "target_id"]
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and current_length == 256
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):
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needs_migration = True
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elif (
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migration["column"] == "file_path"
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and current_type == "character varying"
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):
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needs_migration = True
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if needs_migration:
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logger.info(
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f"Migrating {migration['table']}.{migration['column']}: {migration['description']}"
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)
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# Execute the migration
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alter_sql = f"""
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ALTER TABLE {migration["table"]}
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ALTER COLUMN {migration["column"]} TYPE {migration["new_type"]}
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"""
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await self.execute(alter_sql)
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logger.info(
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f"Successfully migrated {migration['table']}.{migration['column']}"
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)
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else:
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logger.debug(
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f"Column {migration['table']}.{migration['column']} already has correct type, no migration needed"
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)
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except Exception as e:
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# Log error but don't interrupt the process
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logger.warning(
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logger.warning(
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f"Column {migration['table']}.{migration['column']} does not exist, skipping migration"
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f"Failed to migrate {migration['table']}.{migration['column']}: {e}"
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)
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)
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continue
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except Exception as e:
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logger.error(f"Failed to batch check field lengths: {e}")
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current_type = column_info.get("data_type", "").lower()
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current_length = column_info.get("character_maximum_length")
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# Check if migration is needed
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needs_migration = False
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if migration["column"] == "entity_name" and current_length == 255:
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needs_migration = True
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elif (
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migration["column"] in ["source_id", "target_id"]
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and current_length == 256
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):
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needs_migration = True
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elif (
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migration["column"] == "file_path"
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and current_type == "character varying"
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):
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needs_migration = True
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if needs_migration:
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logger.info(
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f"Migrating {migration['table']}.{migration['column']}: {migration['description']}"
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)
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# Execute the migration
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alter_sql = f"""
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ALTER TABLE {migration["table"]}
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ALTER COLUMN {migration["column"]} TYPE {migration["new_type"]}
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"""
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await self.execute(alter_sql)
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logger.info(
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f"Successfully migrated {migration['table']}.{migration['column']}"
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)
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else:
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logger.debug(
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f"Column {migration['table']}.{migration['column']} already has correct type, no migration needed"
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)
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except Exception as e:
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# Log error but don't interrupt the process
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logger.warning(
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f"Failed to migrate {migration['table']}.{migration['column']}: {e}"
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)
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async def check_tables(self):
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async def check_tables(self):
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# First create all tables
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# First create all tables
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@ -1055,47 +1096,59 @@ class PostgreSQLDB:
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)
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)
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raise e
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raise e
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# Create index for id column in each table
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# Batch check all indexes at once (optimization: single query instead of N queries)
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try:
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try:
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table_names = list(TABLES.keys())
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table_names_lower = [t.lower() for t in table_names]
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# Get all existing indexes for our tables in one query
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check_all_indexes_sql = """
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SELECT indexname, tablename
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FROM pg_indexes
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WHERE tablename = ANY($1)
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"""
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existing_indexes_result = await self.query(
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check_all_indexes_sql, [table_names_lower], multirows=True
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)
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# Build a set of existing index names for fast lookup
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existing_indexes = set()
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if existing_indexes_result:
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existing_indexes = {row["indexname"] for row in existing_indexes_result}
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# Create missing indexes
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for k in table_names:
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# Create index for id column if missing
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index_name = f"idx_{k.lower()}_id"
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index_name = f"idx_{k.lower()}_id"
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check_index_sql = f"""
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if index_name not in existing_indexes:
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SELECT 1 FROM pg_indexes
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try:
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WHERE indexname = '{index_name}'
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create_index_sql = f"CREATE INDEX {index_name} ON {k}(id)"
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AND tablename = '{k.lower()}'
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logger.info(
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"""
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f"PostgreSQL, Creating index {index_name} on table {k}"
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index_exists = await self.query(check_index_sql)
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)
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await self.execute(create_index_sql)
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except Exception as e:
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logger.error(
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f"PostgreSQL, Failed to create index {index_name}, Got: {e}"
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)
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if not index_exists:
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# Create composite index for (workspace, id) if missing
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create_index_sql = f"CREATE INDEX {index_name} ON {k}(id)"
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logger.info(f"PostgreSQL, Creating index {index_name} on table {k}")
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await self.execute(create_index_sql)
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except Exception as e:
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logger.error(
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f"PostgreSQL, Failed to create index on table {k}, Got: {e}"
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)
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# Create composite index for (workspace, id) columns in each table
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try:
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composite_index_name = f"idx_{k.lower()}_workspace_id"
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composite_index_name = f"idx_{k.lower()}_workspace_id"
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check_composite_index_sql = f"""
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if composite_index_name not in existing_indexes:
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SELECT 1 FROM pg_indexes
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try:
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WHERE indexname = '{composite_index_name}'
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create_composite_index_sql = (
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AND tablename = '{k.lower()}'
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f"CREATE INDEX {composite_index_name} ON {k}(workspace, id)"
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"""
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)
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composite_index_exists = await self.query(check_composite_index_sql)
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logger.info(
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f"PostgreSQL, Creating composite index {composite_index_name} on table {k}"
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if not composite_index_exists:
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)
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create_composite_index_sql = (
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await self.execute(create_composite_index_sql)
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f"CREATE INDEX {composite_index_name} ON {k}(workspace, id)"
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except Exception as e:
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)
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logger.error(
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logger.info(
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f"PostgreSQL, Failed to create composite index {composite_index_name}, Got: {e}"
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f"PostgreSQL, Creating composite index {composite_index_name} on table {k}"
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)
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)
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except Exception as e:
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await self.execute(create_composite_index_sql)
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logger.error(f"PostgreSQL, Failed to batch check/create indexes: {e}")
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except Exception as e:
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logger.error(
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f"PostgreSQL, Failed to create composite index on table {k}, Got: {e}"
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)
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# Create vector indexs
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# Create vector indexs
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if self.vector_index_type:
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if self.vector_index_type:
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Loading…
Add table
Reference in a new issue