Examples of co.cask.cdap.api.dataset.DatasetAdmin

co.cask.cdap.api.dataset.DatasetAdmin
Defines the minimum administrative operations a dataset should support. There are no strong strict requirements on what is expected from each operation. Every dataset implementation figures out what is the best for itself. NOTE: even though seems to be not required, the list of common operations helps to bring better structure to dataset administration design and better guide the design of new datasets.

    if (type == null) {
      throw new IllegalArgumentException("Dataset type cannot be instantiated for provided type meta: " + typeMeta);
    }


    DatasetSpecification spec = type.configure(instanceName, props);
    DatasetAdmin admin = type.getAdmin(spec);
    admin.create();


    return spec;
  }

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    if (type == null) {
      throw new IllegalArgumentException("Dataset type cannot be instantiated for provided type meta: " + typeMeta);
    }


    DatasetAdmin admin = type.getAdmin(spec);
    admin.drop();
  }

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    for (DatasetSpecification spec : dsFramework.getInstances()) {
      String dsName = spec.getName();
      // See if it is timeseries or aggregates table


      if (dsName.contains(metricsPrefix + ".ts.") || dsName.contains(metricsPrefix + ".agg")) {
        DatasetAdmin admin = dsFramework.getAdmin(dsName, null);
        if (admin != null) {
          admin.upgrade();
        } else {
          LOG.error("Could not obtain admin to upgrade metrics table: " + dsName);
          // continue to best effort
        }
      }

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Related Classes of co.cask.cdap.api.dataset.DatasetAdmin

co.cask.cdap.data.tools.Main

co.cask.cdap.data2.datafabric.dataset.service.executor.DatasetAdminOpHTTPHandler

co.cask.cdap.data2.datafabric.dataset.service.executor.InMemoryDatasetOpExecutor

co.cask.cdap.data2.dataset2.lib.table.MetaTableUtil

co.cask.cdap.internal.app.store.DefaultStore

co.cask.cdap.metrics.data.DefaultMetricsTableFactory

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