spring-projects/spring-ai · error · IllegalStateException
Error while validating table schema, Table {tableName} does
Error message
Error while validating table schema, Table {tableName} does not exist in schema {schemaName} What it means
During validateTableSchema, MariaDBSchemaValidator queries INFORMATION_SCHEMA.COLUMNS for the configured table. If the query returns no rows even though isTableExists passed, it throws this IllegalStateException. It indicates the table exists by name check but no column metadata could be retrieved, so schema validation cannot proceed.
Source
Thrown at vector-stores/spring-ai-mariadb-store/src/main/java/org/springframework/ai/vectorstore/mariadb/MariaDBSchemaValidator.java:106
try {
if (logger.isInfoEnabled()) {
logger.info("Validating MariaDBStore schema for table: " + tableName + " in schema: " + schemaName);
}
List<String> expectedColumns = new ArrayList<>();
expectedColumns.add(idFieldName);
expectedColumns.add(contentFieldName);
expectedColumns.add(metadataFieldName);
expectedColumns.add(embeddingFieldName);
// Query to check if the table exists with the required fields and types
// Include the schema name in the query to target the correct table
String query = "SELECT COLUMN_NAME, DATA_TYPE FROM INFORMATION_SCHEMA.COLUMNS "
+ "WHERE TABLE_SCHEMA = ? AND TABLE_NAME = ?";
List<Map<String, @Nullable Object>> columns = this.jdbcTemplate.queryForList(query, schemaName, tableName);
if (columns.isEmpty()) {
throw new IllegalStateException("Error while validating table schema, Table " + tableName
+ " does not exist in schema " + schemaName);
}
// Check each column against expected fields
List<String> availableColumns = new ArrayList<>();
for (Map<String, Object> column : columns) {
String columnName = (String) column.get("COLUMN_NAME");
Assert.state(columnName != null, "COLUMN_NAME result should not be null");
columnName = validateAndEnquoteIdentifier(columnName, false);
availableColumns.add(columnName);
}
// TODO ensure id is a primary key for batch update
expectedColumns.removeAll(availableColumns);
if (expectedColumns.isEmpty()) {
logger.info("MariaDB VectorStore schema validation successful");View on GitHub (pinned to 98a7beda4f)
Solutions
- Grant the connecting DB user privileges to read INFORMATION_SCHEMA.COLUMNS for the schema.
- Verify exact table name casing matches the database's case sensitivity settings.
- Re-run initialization; if a concurrent migration dropped the table, recreate it (initialize-schema=true).
- Check the configured schemaName is the actual database name (MariaDB treats schema and database as synonyms).
Example fix
// before GRANT SELECT ON mydb.mytable TO 'app'@'%'; // no metadata access // after GRANT SELECT, SHOW VIEW ON mydb.* TO 'app'@'%';
Defensive patterns
Strategy: validation
Validate before calling
Integer cols = jdbc.queryForObject(
"SELECT COUNT(*) FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA=? AND TABLE_NAME=?",
Integer.class, schema, table);
if (cols == null || cols == 0) throw new IllegalStateException(
"No column metadata visible for " + schema + "." + table + " - check privileges/casing"); Try / catch
try {
validateTableSchema(schema, table, ...);
} catch (DataAccessException | IllegalStateException e) {
// log and surface a clear config/privilege error
} Prevention
- Grant the app DB user read access to INFORMATION_SCHEMA for its schema.
- Use exact table-name casing consistent with the server's case-sensitivity mode.
- Avoid concurrent schema drops during app initialization.
- Test metadata visibility with the same credentials the app uses.
When it happens
Trigger: Calling validateTableSchema when INFORMATION_SCHEMA.COLUMNS yields zero rows for the given schema/table — e.g. permission restrictions on INFORMATION_SCHEMA, case-sensitive table name mismatch, or a race where the table is dropped between the existence check and the column query.
Common situations: Restricted DB user lacking metadata privileges, lower_case_table_names differences between OS environments, concurrent schema migrations dropping the table, connecting to a MariaDB variant where INFORMATION_SCHEMA scoping differs.
Understand the failure class
Background: Schema validation failed / invalid input schema: payload rejected because its shape doesn't match the expected schema — this error's family across 28 libraries.
Related errors
- Table '%s' does not exist in schema '%s'
- Missing fields {expectedColumns}
- Not supported expression type: {expressionType}
- Failed to delete documents by filter
- Unknown message type:
AI-assisted analysis of spring-projects/spring-ai@98a7beda4f (2026-09-11).
Data as JSON: /api/errors/44307691071dd1e5.
Report an issue: GitHub.