apache/beam · error · ParseException
Unable to parse statement
Error message
Unable to parse statement
What it means
BeamSqlEnv.explain converts a SQL string to a Beam relational plan for EXPLAIN output. Any failure anywhere in planning/parsing/validation (not just syntax) is wrapped as a ParseException with the fixed message 'Unable to parse statement' and the original cause attached.
Source
Thrown at sdks/java/extensions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/BeamSqlEnv.java:152
}
/**
* Registers a custom {@link SqlOperator} into the current session's operator table. This allows
* registering functions with non-fixed operand types (e.g. VARIADIC), which the schema-function
* auto-wrapping mechanism cannot express.
*
* <p>Only safe to call before the first SQL query is planned in this environment (otherwise the
* parser/validator operator table may have already been built without it).
*/
public void registerSqlOperator(SqlOperator operator) {
connection.getExtraOperatorTable().add(operator);
}
public String explain(String sqlString) throws ParseException {
try {
return RelOptUtil.toString(planner.convertToBeamRel(sqlString, QueryParameters.ofNone()));
} catch (Exception e) {
throw new ParseException("Unable to parse statement", e);
}
}
/** BeamSqlEnv's Builder. */
public static class BeamSqlEnvBuilder {
private static final String CALCITE_PLANNER =
"org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner";
private String queryPlannerClassName;
private CatalogManager catalogManager;
private @Nullable String currentSchemaName = null;
private Map<String, TableProvider> schemaMap;
private Set<Map.Entry<String, Function>> functionSet;
private boolean autoLoadUdfs;
private @Nullable PipelineOptions pipelineOptions;
private Collection<RuleSet> ruleSets;
private BeamSqlEnvBuilder(TableProvider tableProvider) {
if (tableProvider instanceof MetaStore) {View on GitHub (pinned to 12126d8942)
Solutions
- Read the attached cause (e.getCause()) to see the real parse/validate error
- Validate the SQL runs via parseQuery/executeQuery or the JDBC driver first
- Register all schemas/tables referenced by the query before explaining
- Fix SQL syntax per Calcite dialect (double quotes for identifiers, etc.)
Example fix
// before
env.explain("SELEC * FROM t");
// after
env.explain("SELECT * FROM t"); Defensive patterns
Strategy: try-catch
Validate before calling
// validate SQL by parsing first env.parseQuery(sqlString);
Try / catch
try { return env.explain(sql); } catch (ParseException e) { log.error("Plan failed for '{}'", sql, e.getCause()); throw e; } Prevention
- Always inspect the cause, not the message
- Register schemas before explaining
- Test SQL via JDBC before explaining
When it happens
Trigger: Calling BeamSqlEnv.explain(sql) where the SQL has syntax errors, references unknown tables/schemas, or fails any Calcite validation/optimization step.
Common situations: Typos in SQL, missing registered schema/table for the query, functions not found, malformed table provider config — all surface under this single message.
Understand the failure class
Background: "query failed", "%w: SQL error" — wrapped database query errors in Go libraries explained — this error's family across 3 libraries.
- Parsing and encoding errors: unexpected token, malformed input — why parsers reject input and how to find the real culprit.
Related errors
- illegal table properties: ${json}
- Beam JDBC connection has not been initialized
- Unable to parse query %s
- Failed to infer Beam schema
- Unable to create prepared statement for type: ${type}
AI-assisted analysis of apache/beam@12126d8942 (2026-09-13).
Data as JSON: /api/errors/b6dceeb4ccb935b5.
Report an issue: GitHub.