Examples of com.datastax.driver.core.ResultSet

com.datastax.driver.core.ResultSet
The result of a query.
The retrieval of the rows of a ResultSet is generally paged (a first page of result is fetched and the next one is only fetched once all the results of the first one has been consumed). The size of the pages can be configured either globally through {@link QueryOptions#setFetchSize} or per-statementwith {@link Statement#setFetchSize}. Though new pages are automatically (and transparently) fetched when needed, it is possible to force the retrieval of the next page early through {@link #fetchMoreResults}. Please note however that this ResultSet paging is not available with the version 1 of the native protocol (i.e. with Cassandra 1.2 or if version 1 has been explicitly requested through {@link Cluster.Builder#withProtocolVersion}). If the protocol version 1 is in use, a ResultSet is always fetched in it's entirely and it's up to the client to make sure that no query can yield ResultSet that won't hold in memory.
Note that this class is not thread-safe.


        AggregateNumericMetricMapper mapper = new AggregateNumericMetricMapper();


        List<AggregateNumericMetric> result = new ArrayList<AggregateNumericMetric>(pks.size());
        for (StorageResultSetFuture f : futureResults) {
            ResultSet r = f.get();


            // this should always get exactly 1 row
            if (!r.isExhausted()) {
                AggregateNumericMetric aggregate = mapper.mapOne(r);
                result.add(aggregate);
            }
        }

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     * This method moves to the next page of data if one exists. If the result set is empty, we query the next
     * partition. If we have queried the last partition, then we wrap around to the first partition of the next time
     * slice. We continue searching for a non-empty result set until  we hit endTime.
     */
    private void nextPage(ResultSet resultSet) {
        ResultSet nextResultSet = resultSet;
        while (nextResultSet.isExhausted() && time.isBefore(endTime)) {
            if (partition < numPartitions - 1) {
                ++partition;
            } else {
                partition = 0;
                time = time.plus(duration);
            }
            nextResultSet = findIndexEntries();
        }
        if (time.isBefore(endTime)) {
            List<Row> rows = nextResultSet.all();
            rowCount = rows.size();
            rowIterator = rows.iterator();
        } else {
            rowCount = 0;
            rowIterator = Iterators.emptyIterator();

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    }


    public List<RawNumericMetric> findRawMetrics(int scheduleId, long startTime, long endTime) {
        RawNumericMetricMapper mapper = new RawNumericMetricMapper();
        BoundStatement boundStatement = rawMetricsQuery.bind(scheduleId, new Date(startTime), new Date(endTime));
        ResultSet resultSet = storageSession.execute(boundStatement);


        return mapper.mapAll(resultSet);
    }

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    }


    public RawNumericMetric findLatestRawMetric(int scheduleId) {
        RawNumericMetricMapper mapper = new RawNumericMetricMapper();
        BoundStatement boundStatement = findLatestRawMetric.bind(scheduleId);
        ResultSet resultSet = storageSession.execute(boundStatement);


        return mapper.mapOne(resultSet);
    }

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    public List<AggregateNumericMetric> findAggregateMetrics(int scheduleId, Bucket bucket, long startTime,
        long endTime) {
        BoundStatement statement = findAggregateMetricsByDateRange.bind(scheduleId, bucket.toString(),
            new Date(startTime), new Date(endTime));
        ResultSet resultSet = storageSession.execute(statement);
        AggregateNumericMetricMapper mapper = new AggregateNumericMetricMapper();
        return mapper.mapAll(resultSet);
    }

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        DateTime endTime = hour(3);
        RawNumericMetricMapper mapper = new RawNumericMetricMapper();
        Map<Integer, List<RawNumericMetric>> rawDataMp = new HashMap<Integer, List<RawNumericMetric>>(100);


        for (int i = 0; i < NUM_SCHEDULES; ++i) {
            ResultSet resultSet = dao.findRawMetricsSync(i, startTime.getMillis(), endTime.getMillis());
            rawDataMp.put(i, mapper.mapAll(resultSet));
        }


        log.info("Finished raw data sync query in " + (System.currentTimeMillis() - start) + " ms");
    }

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        assertRawDataEquals(scheduleId, startTime, endTime, emptyRaws);
    }


    protected void assertRawDataEquals(int scheduleId, DateTime startTime, DateTime endTime,
        List<RawNumericMetric> expected) {
        ResultSet resultSet = dao.findRawMetricsAsync(scheduleId, startTime.getMillis(), endTime.getMillis()).get();
        List<RawNumericMetric> actual = rawMapper.mapAll(resultSet);


        assertEquals(actual, expected, "The raw metrics do not match the expected value");


    }

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    protected void assertMetricDataEquals(int scheduleId, Bucket bucket, AggregateNumericMetric... expected) {
        assertMetricDataEquals(scheduleId, bucket, asList(expected));
    }


    protected void assertMetricDataEquals(int scheduleId, Bucket bucket, List<AggregateNumericMetric> expected) {
        ResultSet resultSet = session.execute(
            "select schedule_id, bucket, time, avg, max, min " +
            "from " + MetricsTable.AGGREGATE + " " +
            "where schedule_id = " + scheduleId + " and bucket = '" + bucket + "'");
        List<AggregateNumericMetric> actual = aggregateMapper.mapAll(resultSet);
        assertCollectionMatchesNoOrder("Metric data for schedule id " + scheduleId + " in bucket " + bucket +

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            assert24HourDataEmpty(scheduleId);
        }
    }


    private void assertMetricDataEmpty(int scheduleId, Bucket bucket) {
        ResultSet resultSet = session.execute(
            "select schedule_id, bucket, time, avg, max, min " +
            "from " + MetricsTable.AGGREGATE + " " +
            "where schedule_id = " + scheduleId + " and bucket = '" + bucket + "'");
        List<AggregateNumericMetric> metrics = aggregateMapper.mapAll(resultSet);

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        dao.updateIndex(IndexBucket.RAW, hour(2).getMillis(), 105).get();


        List<IndexEntry> expected = asList(entry1, entry2);
        List<IndexEntry> actual = new ArrayList<IndexEntry>();


        ResultSet resultSet = dao.findIndexEntries(IndexBucket.RAW, 0, hour(2).getMillis()).get();
        for (Row row : resultSet) {
            actual.add(new IndexEntry(IndexBucket.RAW, 0, hour(2).getMillis(), row.getInt(0)));
        }
        assertEquals(actual, expected, "The first page of index entries is wrong");
        actual.clear();

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