Release 0.66
Type System
In this release we have replaced the existing simple fixed type system with a fully extensible type system and have added several new types. We have also expanded the function system to support custom arithmetic, comparison and cast operators. For example, the new date/time types include an operator for adding an INTERVAL
to a TIMESTAMP
.
Existing functions have been updated to operate on and return the newly added types. For example, the ANSI color functions now operate on a COLOR
type, and the date/time functions operate on standard SQL date/time types (described below).
Finally, plugins can now provide custom types and operators in addition to connectors and functions. This feature is highly experimental, so expect the interfaces to change over the next few releases. Also, since in SQL there is only one namespace for types, you should be careful to make names for custom types unique as we will add other common SQL types to Presto in the near future.
Date/Time Types
Presto now supports all standard SQL date/time types: DATE
, TIME
, TIMESTAMP
and INTERVAL
. All of the date/time functions and language constructs now operate on these types instead of BIGINT
and perform temporal calculations correctly. This was previously broken due to, for example, not being able to detect whether an argument was a DATE
or a TIMESTAMP
. This change comes at the cost of breaking existing queries that perform arithmetic operations directly on the BIGINT
value returned from the date/time functions.
As part of this work, we have also added the date_trunc() function which is convenient for grouping data by a time span. For example, you can perform an aggregation by hour:
SELECT date_trunc('hour', timestamp_column), count(*)
FROM ...
GROUP BY 1
Time Zones
This release has full support for time zone rules, which are needed to perform date/time calculations correctly. Typically, the session time zone is used for temporal calculations. This is the time zone of the client computer that submits the query, if available. Otherwise, it is the time zone of the server running the Presto coordinator.
Queries that operate with time zones that follow daylight saving can produce unexpected results. For example, if we run the following query to add 24 hours using in the America/Los Angeles
time zone:
SELECT date_add('hour', 24, TIMESTAMP '2014-03-08 09:00:00');
-- 2014-03-09 10:00:00.000
The timestamp appears to only advance 23 hours. This is because on March 9th clocks in America/Los Angeles
are turned forward 1 hour, so March 9th only has 23 hours. To advance the day part of the timestamp, use the day
unit instead:
SELECT date_add('day', 1, TIMESTAMP '2014-03-08 09:00:00');
-- 2014-03-09 09:00:00.000
This works because the date_add() function treats the timestamp as list of fields, adds the value to the specified field and then rolls any overflow into the next higher field.
Time zones are also necessary for parsing and printing timestamps. Queries that use this functionality can also produce unexpected results. For example, on the same machine:
SELECT TIMESTAMP '2014-03-09 02:30:00';
The above query causes an error because there was no 2:30 AM on March 9th in America/Los_Angeles
due to a daylight saving time transition.
In addition to normal TIMESTAMP
values, Presto also supports the TIMESTAMP WITH TIME ZONE
type, where every value has an explicit time zone. For example, the following query creates a TIMESTAMP WITH TIME ZONE
:
SELECT TIMESTAMP '2014-03-14 09:30:00 Europe/Berlin';
-- 2014-03-14 09:30:00.000 Europe/Berlin
You can also change the time zone of an existing timestamp using the AT TIME ZONE
clause:
SELECT TIMESTAMP '2014-03-14 09:30:00 Europe/Berlin'
AT TIME ZONE 'America/Los_Angeles';
-- 2014-03-14 01:30:00.000 America/Los_Angeles
Both timestamps represent the same instant in time; they differ only in the time zone used to print them.
The time zone of the session can be set on a per-query basis using the X-Presto-Time-Zone
HTTP header, or via the PrestoConnection.setTimeZoneId(String)
method in the JDBC driver.
Localization
In addition to time zones, the language of the user is important when parsing and printing date/time types. This release adds localization support to the Presto engine and functions that require it: date_format() and date_parse(). For example, if we set the language to Spanish:
SELECT date_format(TIMESTAMP '2001-01-09 09:04', '%M'); -- enero
If we set the language to Japanese:
SELECT date_format(TIMESTAMP '2001-01-09 09:04', '%M'); -- 1月
The language of the session can be set on a per-query basis using the X-Presto-Language
HTTP header, or via the PrestoConnection.setLocale(Locale)
method in the JDBC driver.
Optimizations
We have upgraded the Hive connector to Hive 0.12 which includes performance improvements for RCFile.
GROUP BY
andJOIN
operators are now compiled to byte code and are significantly faster.Reduced memory usage of
GROUP BY
andSELECT DISTINCT
, which previously required several megabytes of memory per operator, even when the number of groups was small.The planner now optimizes function call arguments. This should improve the performance of queries that contain complex expressions.
Fixed a performance regression in the HTTP client. The recent HTTP client upgrade was using inadvertently GZIP compression and has a bug in the buffer management resulting in high CPU usage.
SPI changes
In this release we have made a number of backward incompatible changes to the SPI:
Added
Type
and related interfacesConnectorType
in metadata has been replaced withType
Renamed
TableHandle
toConnectorTableHandle
Renamed
ColumnHandle
toConnectorColumnHandle
Renamed
Partition
toConnectorPartition
Renamed
PartitionResult
toConnectorPartitionResult
Renamed
Split
toConnectorSplit
Renamed
SplitSource
toConnectorSplitSource
Added a
ConnectorSession
parameter to mostConnectorMetadata
methodsRemoved most
canHandle
methods
General Bug Fixes
Fixed CLI hang after using
USE CATALOG
orUSE SCHEMA
Implicit coercions in aggregations now work as expected
Nulls in expressions work as expected
Fixed memory leak in compiler
Fixed accounting bug in task memory usage
Fixed resource leak caused by abandoned queries
Fail queries immediately on unrecoverable data transport errors
Hive Bug Fixes
- Fixed parsing of timestamps in the Hive RCFile Text SerDe (
ColumnarSerDe
) by adding configuration to set the time zone originally used when writing data
Cassandra Bug Fixes
Auto-reconnect if Cassandra session dies
Format collection types as JSON