use of io.cdap.cdap.api.dataset.DatasetSpecification in project cdap by caskdata.
the class DatasetInstanceService method drop.
/**
* Drops the specified dataset.
*
* @param datasetId the {@link DatasetId} to drop
* @throws NamespaceNotFoundException if the namespace was not found
* @throws DatasetNotFoundException if the dataset datasetId was not found
* @throws IOException if there was a problem in checking if the namespace exists over HTTP
* @throws UnauthorizedException if perimeter security and authorization are enabled, and the current user does not
* have {@link StandardPermission#DELETE} privileges on the dataset
*/
void drop(DatasetId datasetId) throws Exception {
Principal requestingUser = authenticationContext.getPrincipal();
if (!DatasetsUtil.isSystemDatasetInUserNamespace(datasetId)) {
accessEnforcer.enforce(datasetId, requestingUser, StandardPermission.DELETE);
}
ensureNamespaceExists(datasetId.getParent());
DatasetSpecification spec = instanceManager.get(datasetId);
if (spec == null) {
throw new DatasetNotFoundException(datasetId);
}
dropDataset(datasetId, spec);
}
use of io.cdap.cdap.api.dataset.DatasetSpecification in project cdap by caskdata.
the class DatasetAdminOpHTTPHandler method update.
@POST
@Path("/data/datasets/{name}/admin/update")
public void update(FullHttpRequest request, HttpResponder responder, @PathParam("namespace-id") String namespaceId, @PathParam("name") String name) throws Exception {
propagateUserId(request);
InternalDatasetUpdateParams params = GSON.fromJson(request.content().toString(StandardCharsets.UTF_8), InternalDatasetUpdateParams.class);
Preconditions.checkArgument(params.getProperties() != null, "Missing required 'instanceProps' parameter.");
Preconditions.checkArgument(params.getTypeMeta() != null, "Missing required 'typeMeta' parameter.");
Preconditions.checkArgument(params.getExistingSpec() != null, "Missing required 'existingSpec' parameter.");
DatasetProperties props = params.getProperties();
DatasetSpecification existing = params.getExistingSpec();
DatasetTypeMeta typeMeta = params.getTypeMeta();
try {
DatasetId instanceId = new DatasetId(namespaceId, name);
DatasetCreationResponse response = datasetAdminService.createOrUpdate(instanceId, typeMeta, props, existing);
responder.sendJson(HttpResponseStatus.OK, GSON.toJson(response));
} catch (IncompatibleUpdateException e) {
throw new ConflictException(e.getMessage());
}
}
use of io.cdap.cdap.api.dataset.DatasetSpecification in project cdap by caskdata.
the class DatasetAdminOpHTTPHandler method drop.
@POST
@Path("/data/datasets/{name}/admin/drop")
public void drop(FullHttpRequest request, HttpResponder responder, @PathParam("namespace-id") String namespaceId, @PathParam("name") String instanceName) throws Exception {
propagateUserId(request);
InternalDatasetDropParams params = GSON.fromJson(request.content().toString(StandardCharsets.UTF_8), InternalDatasetDropParams.class);
Preconditions.checkArgument(params.getInstanceSpec() != null, "Missing required 'instanceSpec' parameter.");
Preconditions.checkArgument(params.getTypeMeta() != null, "Missing required 'typeMeta' parameter.");
DatasetSpecification spec = params.getInstanceSpec();
DatasetTypeMeta typeMeta = params.getTypeMeta();
datasetAdminService.drop(new DatasetId(namespaceId, instanceName), typeMeta, spec);
responder.sendJson(HttpResponseStatus.OK, GSON.toJson(spec));
}
use of io.cdap.cdap.api.dataset.DatasetSpecification in project cdap by caskdata.
the class DatasetAdminService method createOrUpdate.
/**
* Configures and creates a Dataset
*
* @param datasetInstanceId dataset instance to be created
* @param typeMeta type meta for the dataset
* @param props dataset instance properties
* @param existing if dataset already exists (in case of update), the existing properties
* @return dataset specification
*/
public DatasetCreationResponse createOrUpdate(final DatasetId datasetInstanceId, final DatasetTypeMeta typeMeta, final DatasetProperties props, @Nullable final DatasetSpecification existing) throws Exception {
if (existing == null) {
LOG.info("Creating dataset instance {}, type meta: {}", datasetInstanceId, typeMeta);
} else {
LOG.info("Updating dataset instance {}, type meta: {}, existing: {}", datasetInstanceId, typeMeta, existing);
}
try (DatasetClassLoaderProvider classLoaderProvider = new DirectoryClassLoaderProvider(cConf, locationFactory)) {
final DatasetContext context = DatasetContext.from(datasetInstanceId.getNamespace());
UserGroupInformation ugi = getUgiForDataset(impersonator, datasetInstanceId);
final DatasetType type = ImpersonationUtils.doAs(ugi, () -> {
LOG.trace("Getting dataset type {}", typeMeta.getName());
DatasetType type1 = dsFramework.getDatasetType(typeMeta, null, classLoaderProvider);
if (type1 == null) {
throw new BadRequestException(String.format("Cannot instantiate dataset type using provided type meta: %s", typeMeta));
}
LOG.trace("Got dataset type {}", typeMeta.getName());
return type1;
});
DatasetSpecification spec = ImpersonationUtils.doAs(ugi, () -> {
LOG.trace("Configuring dataset {} of type {}", datasetInstanceId.getDataset(), typeMeta.getName());
DatasetSpecification spec1 = existing == null ? type.configure(datasetInstanceId.getEntityName(), props) : type.reconfigure(datasetInstanceId.getEntityName(), props, existing);
LOG.trace("Configured dataset {} of type {}", datasetInstanceId.getDataset(), typeMeta.getName());
DatasetAdmin admin = type.getAdmin(context, spec1);
try {
if (existing != null) {
if (admin instanceof Updatable) {
((Updatable) admin).update(existing);
} else {
admin.upgrade();
}
} else {
LOG.trace("Creating dataset {} of type {}", datasetInstanceId.getDataset(), typeMeta.getName());
admin.create();
LOG.trace("Created dataset {} of type {}", datasetInstanceId.getDataset(), typeMeta.getName());
}
} finally {
Closeables.closeQuietly(admin);
}
return spec1;
});
// Writing system metadata should be done without impersonation since user may not have access to system tables.
LOG.trace("Computing metadata for dataset {}", datasetInstanceId.getDataset());
SystemMetadata metadata = computeSystemMetadata(datasetInstanceId, spec, props, typeMeta, type, context, existing != null, ugi);
LOG.trace("Computed metadata for dataset {}", datasetInstanceId.getDataset());
return new DatasetCreationResponse(spec, metadata);
} catch (Exception e) {
if (e instanceof IncompatibleUpdateException) {
// this is expected to happen if user provides bad update properties, so we log this as debug
LOG.debug("Incompatible update for dataset '{}'", datasetInstanceId, e);
} else {
LOG.error("Error {} dataset '{}': {}", existing == null ? "creating" : "updating", datasetInstanceId, e.getMessage(), e);
}
throw e;
}
}
use of io.cdap.cdap.api.dataset.DatasetSpecification in project cdap by caskdata.
the class DatasetType method configure.
public DatasetSpecification configure(String instanceName, DatasetProperties properties) {
DatasetSpecification spec = delegate.configure(instanceName, properties);
spec = spec.setOriginalProperties(properties);
if (properties.getDescription() != null) {
spec = spec.setDescription(properties.getDescription());
}
return spec;
}
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