use of com.google.api.services.bigquery.model.TableReference in project beam by apache.
the class BigQueryServicesImplTest method testSimpleErrorRetrieval.
/**
* Tests that {@link DatasetServiceImpl#insertAll} uses the supplied {@link ErrorContainer}.
*/
@Test
public void testSimpleErrorRetrieval() throws InterruptedException, IOException {
TableReference ref = new TableReference().setProjectId("project").setDatasetId("dataset").setTableId("table");
List<FailsafeValueInSingleWindow<TableRow, TableRow>> rows = ImmutableList.of(wrapValue(new TableRow().set("a", 1)), wrapValue(new TableRow().set("b", 2)));
final List<ValueInSingleWindow<TableRow>> expected = ImmutableList.of(wrapErrorValue(new TableRow().set("a", 1)), wrapErrorValue(new TableRow().set("b", 2)));
final TableDataInsertAllResponse failures = new TableDataInsertAllResponse().setInsertErrors(ImmutableList.of(new InsertErrors().setIndex(0L).setErrors(ImmutableList.of(new ErrorProto().setReason("timeout"))), new InsertErrors().setIndex(1L).setErrors(ImmutableList.of(new ErrorProto().setReason("invalid")))));
setupMockResponses(response -> {
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getStatusCode()).thenReturn(200);
when(response.getContent()).thenReturn(toStream(failures));
});
DatasetServiceImpl dataService = new DatasetServiceImpl(bigquery, null, PipelineOptionsFactory.create());
List<ValueInSingleWindow<TableRow>> failedInserts = Lists.newArrayList();
dataService.insertAll(ref, rows, null, BackOffAdapter.toGcpBackOff(TEST_BACKOFF.backoff()), TEST_BACKOFF, new MockSleeper(), InsertRetryPolicy.neverRetry(), failedInserts, ErrorContainer.TABLE_ROW_ERROR_CONTAINER, false, false, false, null);
assertThat(failedInserts, is(expected));
}
use of com.google.api.services.bigquery.model.TableReference in project beam by apache.
the class BigQueryServicesImplTest method testGetTableSucceeds.
@Test
public void testGetTableSucceeds() throws Exception {
TableReference tableRef = new TableReference().setProjectId("projectId").setDatasetId("datasetId").setTableId("tableId");
Table testTable = new Table();
testTable.setTableReference(tableRef);
setupMockResponses(response -> {
when(response.getStatusCode()).thenReturn(403);
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getContent()).thenReturn(toStream(errorWithReasonAndStatus("rateLimitExceeded", 403)));
}, response -> {
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getStatusCode()).thenReturn(200);
when(response.getContent()).thenReturn(toStream(testTable));
});
BigQueryServicesImpl.DatasetServiceImpl datasetService = new BigQueryServicesImpl.DatasetServiceImpl(bigquery, null, PipelineOptionsFactory.create());
Table table = datasetService.getTable(tableRef, null, BackOff.ZERO_BACKOFF, Sleeper.DEFAULT);
assertEquals(testTable, table);
verifyAllResponsesAreRead();
}
use of com.google.api.services.bigquery.model.TableReference in project beam by apache.
the class BigQueryServicesImplTest method testInsertWithinRequestByteSizeLimitsErrorsOut.
/**
* Tests that {@link DatasetServiceImpl#insertAll} does not go over limit of rows per request.
*/
@Test
public void testInsertWithinRequestByteSizeLimitsErrorsOut() throws Exception {
TableReference ref = new TableReference().setProjectId("project").setDatasetId("dataset").setTableId("table");
List<FailsafeValueInSingleWindow<TableRow, TableRow>> rows = ImmutableList.of(wrapValue(new TableRow().set("row", Strings.repeat("abcdefghi", 1024 * 1025))), wrapValue(new TableRow().set("row", "a")), wrapValue(new TableRow().set("row", "b")));
List<String> insertIds = ImmutableList.of("a", "b", "c");
final TableDataInsertAllResponse allRowsSucceeded = new TableDataInsertAllResponse();
setupMockResponses(response -> {
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getStatusCode()).thenReturn(200);
when(response.getContent()).thenReturn(toStream(allRowsSucceeded));
}, response -> {
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getStatusCode()).thenReturn(200);
when(response.getContent()).thenReturn(toStream(allRowsSucceeded));
});
DatasetServiceImpl dataService = new DatasetServiceImpl(bigquery, null, PipelineOptionsFactory.fromArgs("--maxStreamingBatchSize=15").create());
List<ValueInSingleWindow<TableRow>> failedInserts = Lists.newArrayList();
List<ValueInSingleWindow<TableRow>> successfulRows = Lists.newArrayList();
RuntimeException e = assertThrows(RuntimeException.class, () -> dataService.<TableRow>insertAll(ref, rows, insertIds, BackOffAdapter.toGcpBackOff(TEST_BACKOFF.backoff()), TEST_BACKOFF, new MockSleeper(), InsertRetryPolicy.alwaysRetry(), failedInserts, ErrorContainer.TABLE_ROW_ERROR_CONTAINER, false, false, false, successfulRows));
assertThat(e.getMessage(), containsString("this row is too large."));
}
use of com.google.api.services.bigquery.model.TableReference in project beam by apache.
the class BigQueryServicesImplTest method testFailInsertOtherRetry.
/**
* Tests that {@link DatasetServiceImpl#insertAll} will not retry other non-rate-limited,
* non-quota-exceeded attempts.
*/
@Test
public void testFailInsertOtherRetry() throws Exception {
TableReference ref = new TableReference().setProjectId("project").setDatasetId("dataset").setTableId("table");
List<FailsafeValueInSingleWindow<TableRow, TableRow>> rows = new ArrayList<>();
rows.add(wrapValue(new TableRow()));
// First response is 403 non-{rate-limited, quota-exceeded}, second response has valid payload
// but should not be invoked.
setupMockResponses(response -> {
when(response.getStatusCode()).thenReturn(403);
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getContent()).thenReturn(toStream(errorWithReasonAndStatus("actually forbidden", 403)));
}, response -> {
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getStatusCode()).thenReturn(200);
when(response.getContent()).thenReturn(toStream(new TableDataInsertAllResponse()));
});
DatasetServiceImpl dataService = new DatasetServiceImpl(bigquery, null, PipelineOptionsFactory.create());
thrown.expect(RuntimeException.class);
thrown.expectMessage("actually forbidden");
try {
dataService.insertAll(ref, rows, null, BackOffAdapter.toGcpBackOff(TEST_BACKOFF.backoff()), TEST_BACKOFF, new MockSleeper(), InsertRetryPolicy.alwaysRetry(), null, null, false, false, false, null);
} finally {
verify(responses[0], atLeastOnce()).getStatusCode();
verify(responses[0]).getContent();
verify(responses[0]).getContentType();
// It should not invoke 2nd response
verify(responses[1], never()).getStatusCode();
verify(responses[1], never()).getContent();
verify(responses[1], never()).getContentType();
}
verifyWriteMetricWasSet("project", "dataset", "table", "actually forbidden", 1);
}
use of com.google.api.services.bigquery.model.TableReference in project beam by apache.
the class BigQueryServicesImplTest method testGetTableThrows.
@Test
public void testGetTableThrows() throws Exception {
setupMockResponses(response -> {
when(response.getContentType()).thenReturn(Json.MEDIA_TYPE);
when(response.getStatusCode()).thenReturn(401);
});
TableReference tableRef = new TableReference().setProjectId("projectId").setDatasetId("datasetId").setTableId("tableId");
thrown.expect(IOException.class);
thrown.expectMessage(String.format("Unable to get table: %s", tableRef.getTableId()));
BigQueryServicesImpl.DatasetServiceImpl datasetService = new BigQueryServicesImpl.DatasetServiceImpl(bigquery, null, PipelineOptionsFactory.create());
datasetService.getTable(tableRef, null, BackOff.STOP_BACKOFF, Sleeper.DEFAULT);
}
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