apache/beam · error · RuntimeException

Unable to get BigQuery response after retrying %d times for

Error message

Unable to get BigQuery response after retrying %d times for tables.get (%s)

What it means

getTableResource fetches a BigQuery table resource (tables.get) with bounded retries over IOExceptions. If all attempts fail, it throws 'Unable to get BigQuery response after retrying %d times for tables.get (%s)' with the tableId and last exception. Used to verify table state in BigQuery integration tests.

Source

Thrown at sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/testing/BigqueryClient.java:616

    do {
      if (lastException != null) {
        LOG.warn("Retrying tables.get ({}) after exception", tableId, lastException);
      }
      try {
        Table response = this.bqClient.tables().get(projectId, datasetId, tableId).execute();
        if (response != null) {
          return response;
        } else {
          lastException =
              new IOException("Expected valid response from tables.get, but received null.");
        }
      } catch (IOException e) {
        // ignore and retry
        lastException = e;
      }
    } while (BackOffUtils.next(sleeper, backoff));

    throw new RuntimeException(
        String.format(
            "Unable to get BigQuery response after retrying %d times for tables.get (%s)",
            MAX_QUERY_RETRIES, tableId),
        lastException);
  }

  public void updateTableSchema(
      String projectId, String datasetId, String tableId, TableSchema newSchema)
      throws IOException {
    this.bqClient
        .tables()
        .patch(projectId, datasetId, tableId, new Table().setSchema(newSchema))
        .execute();
    LOG.info(
        "Successfully updated the schema of table {}:{}.{}. New schema:\n{}",
        projectId,
        datasetId,
        tableId,

View on GitHub (pinned to 12126d8942)

Solutions

Check the wrapped cause to distinguish 403/404 from pure network errors.
Verify the tableId (project:dataset.table) is correct and the table exists.
Ensure the credential has bigquery.tables.get permission on the dataset.
Confirm network connectivity to bigquery.googleapis.com.
Re-run the test; transient API incidents often resolve between runs.

Example fix

// before
Table table = client.getTableResource(projectId, datasetId, tableId);

// after
Table table;
try {
  table = client.getTableResource(projectId, datasetId, tableId);
} catch (RuntimeException e) {
  LOG.warn("tables.get failed after retries for %s", tableId, e);
  table = null;
}

Defensive patterns

Strategy: try-catch

Validate before calling

// verify dataset+table naming and access with the bq CLI first:
// bq show project:dataset.table

Try / catch

try {
  Table t = client.getTableResource(projectId, datasetId, tableId);
} catch (RuntimeException e) {
  if (String.valueOf(e.getCause()).contains("404")) {
    return null; // table genuinely missing
  }
  throw e; // infra/auth problem — surface it
}

Prevention

Confirm the fully-qualified table ID is correct before lookup.
Grant the credential bigquery.tables.get on the dataset.
Treat 404 (missing) differently from network/auth errors.
Re-run once on transient failures before diagnosing deeper.

When it happens

Trigger: bigquery.tables().get throwing IOException on every retry for a given tableId — persistent network failure, permission errors repeatedly surfaced as IOException, or a table reference that never resolves within the retry budget.

Common situations: Checking a table in a dataset/project the credential cannot read; deleted or never-created tables in flaky test setups; CI sandbox without egress; transient Google API incidents spanning the whole retry window.

Understand the failure class

Background: "API request failed": what wrapped HTTP errors from external APIs mean and how to find the real cause — this error's family across 29 libraries.

Related errors

AI-assisted analysis of apache/beam@12126d8942 (2026-09-13). Data as JSON: /api/errors/b9b08b3b53b96efb. Report an issue: GitHub.