Examples of com.facebook.presto.tuple.TupleInfo

com.facebook.presto.tuple.TupleInfo
Tuple layout is:
```
 is_null_0_to_7 is_null_8_to_15 ... fixed_0 fixed_1 ... fixed_N var_off_1 var_off_2 ... var_off_N size var_0 var_1 ... var_N 
```
Note: the null flag for each field is independent of the value of the field. Specifically this api will allow you to read and write the value of fields with the null flag set.

                .transform(new Function<Type, TupleInfo>()
                {
                    @Override
                    public TupleInfo apply(Type input)
                    {
                        return new TupleInfo(input);
                    }
                })
                .list());
        fieldNames = (fragment.getRoot() instanceof OutputNode) ?
                Optional.<List<String>>of(ImmutableList.copyOf(((OutputNode) fragment.getRoot()).getColumnNames())) :

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                    .transform(new Function<TupleInfo.Type, TupleInfo>()
                    {
                        @Override
                        public TupleInfo apply(TupleInfo.Type input)
                        {
                            return new TupleInfo(input);
                        }
                    })
                    .list());
        }

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                DUAL_METADATA_MANAGER,
                new Session("user", "test", Session.DEFAULT_CATALOG, Session.DEFAULT_SCHEMA, null, null)
        );


        // create output
        BlockBuilder builder = new BlockBuilder(new TupleInfo(outputType.getRawType()));


        // project
        projectionFunction.project(channels, builder);


        // extract single value

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        ClientSession session = new ClientSession(coordinator.getBaseUrl(), "testuser", "test", "default", "default", true);


        try (StatementClient client = new StatementClient(httpClient, queryResultsCodec, session, sql)) {
            AtomicBoolean loggedUri = new AtomicBoolean(false);
            ImmutableList.Builder<Tuple> rows = ImmutableList.builder();
            TupleInfo tupleInfo = null;


            while (client.isValid()) {
                QueryResults results = client.current();
                if (!loggedUri.getAndSet(true)) {
                    log.info("Query %s: %s?pretty", results.getId(), results.getInfoUri());

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        }
    }


    private static TupleInfo getTupleInfo(List<Column> columns)
    {
        return new TupleInfo(transform(transform(columns, Column.typeGetter()), tupleType()));
    }

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                .transform(new Function<TupleInfo.Type, TupleInfo>()
                {
                    @Override
                    public TupleInfo apply(TupleInfo.Type input)
                    {
                        return new TupleInfo(input);
                    }
                })
                .list();


        ImmutableList.Builder<PlanNode> sources = ImmutableList.builder();

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        public Iterator<Page> build()
        {
            List<Type> types = groupByHash.getTypes();
            ImmutableList.Builder<TupleInfo> tupleInfos = ImmutableList.builder();
            for (Type type : types) {
                tupleInfos.add(new TupleInfo(type));
            }
            for (Aggregator aggregator : aggregators) {
                tupleInfos.add(aggregator.getTupleInfo());
            }

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            Preconditions.checkNotNull(columnType, "columnType is null");
            Preconditions.checkArgument(channelIndex >= 0, "channelIndex is negative");


            this.columnType = columnType;
            this.channelIndex = channelIndex;
            this.info = new TupleInfo(columnType);
        }

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    {
        TupleInfo.Type[] types = new TupleInfo.Type[numberOfFields];
        Arrays.fill(types, getValueType());
        types[numberOfFields - 1] = getValueType();


        BlockBuilder blockBuilder = new BlockBuilder(new TupleInfo(types));


        for (Object value : values) {
            for (int i = 0; i < numberOfFields - 1; i++) {
                blockBuilder.appendNull();
            }

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                0);


        Operator joinOperator = joinOperatorFactory.createOperator(taskContext.addPipelineContext(true, true).addDriverContext());


        // expected
        MaterializedResult expected = resultBuilder(new TupleInfo(VARIABLE_BINARY, FIXED_INT_64, FIXED_INT_64, VARIABLE_BINARY, FIXED_INT_64, FIXED_INT_64))
                .row("20", 1020, 2020, "20", 30, 40)
                .row("21", 1021, 2021, "21", 31, 41)
                .row("22", 1022, 2022, "22", 32, 42)
                .row("23", 1023, 2023, "23", 33, 43)
                .row("24", 1024, 2024, "24", 34, 44)

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