============ Release 0.61 ============ Add support for Table Value Constructors ---------------------------------------- Presto now supports the SQL table value constructor syntax to create inline tables. The ``VALUES`` clause can be used anywhere a ``SELECT`` statement is allowed. For example, as a top-level query:: VALUES ('a', 1), ('b', 2); .. code-block:: none _col0 | _col1 -------+------- a | 1 b | 2 (2 rows) Alternatively, in the ``FROM`` clause:: SELECT * FROM ( VALUES ('a', 'ape'), ('b', 'bear') ) AS animal (letter, animal) JOIN ( VALUES ('a', 'apple'), ('b', 'banana') ) AS fruit (letter, fruit) USING (letter); .. code-block:: none letter | animal | letter | fruit --------+--------+--------+--------- a | ape | a | apple b | bear | b | banana (2 rows) Cassandra --------- * Add support for upper-case schema, table, and columns names. * Add support for ``DECIMAL`` type. Amazon S3 support ----------------- * Completely rewritten Hadoop FileSystem implementation for S3 using the Amazon AWS SDK, with major performance and reliability improvements. * Add support for writing data to S3. Approximate Aggregation Queries ------------------------------- We have added experimental support for aggregate queries that return approximate results with error bounds. This feature is designed to be used with sampled tables generated using the ``TABLESAMPLE POISSONIZED RESCALED``. For example, the following query will create a 1% sample:: CREATE TABLE lineitems_sample AS SELECT * FROM tpch.sf10.lineitems TABLESAMPLE POISSONIZED (1) RESCALED Then, to run an approximate query:: SELECT COUNT(*) FROM lineitems_sample APPROXIMATE AT 95.0 CONFIDENCE .. code-block:: none _col0 ---------------------------- 5.991790345E7 +/- 14835.75 (1 row) To enable this feature you must add ``analyzer.experimental-syntax-enabled=true`` to your config. .. note:: The syntax and functionality for approximate queries is experimental and will likely change in future versions. Miscellaneous ------------- * General improvements to the JDBC driver, specifically with respect to metadata handling. * Fix division by zero errors in variance aggregation functions (``VARIANCE``, ``STDDEV``, etc.). * Fix a bug when using ``DISTINCT`` aggregations in the ``HAVING`` clause. * Fix an out of memory issue when writing large tables. * Fix a bug when using ``ORDER BY rand()`` in a ``JOIN`` query. * Fix handling of timestamps in maps and lists in Hive connector. * Add instrumentation for Hive metastore and HDFS API calls to track failures and latency. These metrics are exposed via JMX.