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Presto key not present in map

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All native Presto functions can also be used on Treasure Data. For a complete list of functions, see Presto Function and Operators pages.

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Signature

 TD_APPROX_MOST_FREQUENT(long num_buckets, long/varchar values, long capacity)

Example

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);

Description

This function picks the frequent distinct items from the collection of values. This selection is approximate. The top `num_buckets` elements are obtained `values`. It returns a map whose keys are elements and values are estimated frequencies in the collection.

Unlike a normal histogram, it selects the frequent values online to significantly save memory resources. The error rate is bounded by the capacity parameter controlling the size of the internal data structure.

For convenience, we recommend using TD_INTERVAL instead of TD_TIME_RANGE.

Signature

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])

Example

This example selects records with timestamps ‘2013-01-01 00:00:00 PDT’ or later. The time of day ('00:00:00') can be omitted. Alternately, the time of day can be specified up to seconds. In general, the time string should be formatted as 'YYYY-MM-DD' or 'YYYY-MM-DD hh:mm:ss'. For example, '2013-01-01' or '1999-01-01 07:00:00'.

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG

Description

We strongly recommend that you take advantage of time-based partitioning. Refer to Performance Tuning for more information.

This UDF returns true if the unix_timestamp is equal to or later than the start_time and older than the end_time (start_time <= time && time < end_time). If end_time is omitted or NULL, the UDF assumes it’s infinite. If start_time is NULL, the UDF assumes it’s 0.

start_time and end_time can be a string that represents a time (e.g. ‘2012-01-01 00:00:00 +0900’) or a UNIX timestamp (e.g. 1325343600). If the format of start_time or end_time strings is invalid, the UDF returns NULL.

default_timezone is used to interpret the timezone of start_time or end_time. If start_time or end_time themselves specify a timezone (e.g. ‘2012-01-01 +0700’), then the default_timezone is ignored. If default_timezone is not specified and start_time or end_time does not indicate a timezone, then the UDF uses ‘UTC’ as the timezone for start_time or end_time. A list of supported time zones.

Signature

Description

This UDF returns the exact time when the job was scheduled by the scheduled query feature. The returned value can differ from 

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
0 because the actual query start time might be delayed.

If the query is not a scheduled query, the UDF returns the time when the job was issued. You can use this UDF with 

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
1 for incremental aggregation.

TD_INTERVAL() is a companion function to TD_TIME_RANGE(). Both are especially useful in WHERE clauses, to make sure that your queries take advantage of time-based partitioning. TD_INTERVAL is used to compute relative time ranges that would otherwise require complex date manipulation. (TD_TIME_RANGE is used for absolute time ranges.)

Signature

TD_INTERVAL(time, interval_string, default_timezone)

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])

Example

These examples assume that the scheduled_time (or query start time) is 2018-08-14 01:23:45 (Tue, UTC):

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')

Description

TD_INTERVAL() is a companion function to TD_TIME_RANGE(). Both are especially useful in WHERE clauses, to make sure that your queries take advantage of time-based partitioning. TD_INTERVAL is used to compute relative time ranges that would otherwise require complex date manipulation. (TD_TIME_RANGE is used for absolute time ranges.)

We strongly recommend that you take advantage of time-based partitioning. Refer to the Performance Tuning article for more information. Not using time-based filtering in SQL SELECT statements can cause inefficient full table scans that affect query performance.

This UDF returns true if time value is within the interval which is represented by interval_string (state time <= time < end time).

interval_string must be a 'duration/offset' formatted string. The offset is optional and the UDF assumes offset is the current time (the job scheduled time actually) based on your browser timezone, if the offset is omitted. Also, support 'q' for quarters. For example, '-1d' means yesterday and '-3M' means the last 3 months. The interval is calculated in the specified time unit. This means '-30m' ls the last 30 minutes from the beginning of the latest minute, not from just now.

Presto key not present in map

Offset can be specified relatively (e.g. '3d/-1y') and specifically (e.g. '1y/2018-01-01'). For example, '3d/-1y' means the first 3 days of the last year and '-1M/2018-04-01' means the last 1 month before '2018-04-01'. In other words, '2018-03-01' to '2018-03-31'.

Offset can be specified as '/now' (e.g. '-7d/now'). Note the difference from '/0d' or '/0h' illustrated in the following figure:

Presto key not present in map

default_timezone is used to interpret the timezone of interval_string. If interval_string specifies a timezone (e.g. '-1h/2017-01-23 01:00:00 +0700'), then the default_timezone is ignored. If default_timezone is not specified and interval_string does not have a timezone, then UDF uses 'UTC' as the timezone. A list of supported time zones can be found here.

Signature

TD_INTERVAL_RANGE(‘interval string’, ‘time zone’)

Description

TD_INTERVAL_RANGE can be used to confirm the time range of TD_INTERVAL.

TD_INTERVAL_RANGE returns an ARRAY[(start time), (end time)].

interval_string must be a 'duration/offset' formatted string. The offset is optional and the UDF assumes offset is the current time (the job scheduled time actually) based on your browser timezone, if the offset is omitted. Also, support 'q' for quarters.

time zone is used to interpret the timezone of interval_string. If interval_string specifies a timezone (e.g. '-1h/2017-01-23 01:00:00 +0700'), then time zone is ignored. If the time zone is not specified and interval_string does not have a timezone, then UDF uses 'UTC' as the timezone. A list of supported time zones can be found here.

Signature

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])

Example

This example selects records with timestamps ‘2013-01-01 00:00:00 UTC’ or later but older than ‘2013-01-02 00:00:00 UTC’.

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))

Description

TD_TIME_ADD returns a timestamp equal to time offset by duration. The UDF supports the following formats for the duration:

  • "Nw": after N weeks (e.g. “1w”, “2w”, “5w”)

  • "-Nw": before N weeks (e.g. “-1w”, “-2w”, “-5w”)

  • ‘Nd’: after N days (e.g. ‘1d’, ‘2d’, ‘30d’)

  • ‘-Nd’: before N days (e.g. ‘-1d’, ‘-2d’, ‘-30d’)

  • ‘Nh’: after N hours (e.g. ‘1h’, ‘2h’, ‘48h’)

  • ‘-Nh’: before N hours (e.g. ‘-1h’, ‘-2h’, ‘-48h’)

  • ‘Nm’: after N minutes (e.g. ‘1m’, ‘2m’, ‘90m’)

  • ‘-Nm’: before N minutes (e.g. ‘-1m’, ‘-2m’, ‘-90m’)

  • ‘Ns’: after N seconds (e.g. ‘1s’, ‘2s’, ‘90s’)

  • ‘-Ns’: before N seconds (e.g. ‘-1s’, ‘-2s’, ‘-90s’)

The formats above can be combined. For example, ‘1h30m’ means ‘after 1 hour and 30 minutes’.

default_timezone is used to interpret time. If time has timezone (e.g. ‘2012-01-01 +0700’), then default_timezone is ignored. If default_timezone is not specified and time does not specify a timezone, then the UDF uses ‘UTC’ as the timezone for time. A list of supported time zones can be found here.

If the formats of the time or duration strings are invalid, the UDF returns NULL.

'year' and 'month' durations are NOT supported, because to do so would adversely impact performance. A month can be 28, 29, 30, or 31 days, and a year could be 365 or 366 days.

For convenience, we recommend using TD_TIME_STRING instead of TD_TIME_FORMAT.

Signature

string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])

Example

This example formats a UNIX timestamp into a date formatted string:

SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...

Description

TD_TIME_FORMAT converts a UNIX timestamp to a string with the specified format (see the Supported time formats in TD_TIME_FORMAT UDF page for available formats). For example, ‘yyyy-MM-dd HH:mm:ss z’ converts 1325376000 to ‘2012-01-01 00:00:00 UTC’. If no timezone is specified, the UDF uses UTC.

How does TD_TIME_FORMAT handle Leap Second?

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
0

Signature

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
1

Description

This UDF converts a time string into a UNIX timestamp.

default_timezone is used to interpret time. If time has timezone (e.g. ‘2012-01-01 +0700’), then default_timezone is ignored. If default_timezone is not specified and time does not specify a timezone, then the UDF uses ‘UTC’ as the timezone for time. A list of supported time zones can be found here.

If the format of the time string is invalid, the UDF returns NULL.

For convenience, we recommend TD_TIME_STRING over TD_TIME_FORMAT.

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
2

  • time: unix time (bigint)

  • interval string:

If the format string has 

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
2 as the suffix, it truncates the date time string at the specified unit.

format string

format

example

y

yyyy-MM-dd HH:mm:ssZ

2018-01-01 00:00:00+0700

q

yyyy-MM-dd HH:mm:ssZ

2018-04-01 00:00:00+0700

M

yyyy-MM-dd HH:mm:ssZ

2018-09-01 00:00:00+0700

w

yyyy-MM-dd HH:mm:ssZ

2018-09-09 00:00:00+0700

d

yyyy-MM-dd HH:mm:ssZ

2018-09-13 00:00:00+0700

h

yyyy-MM-dd HH:mm:ssZ

2018-09-13 16:00:00+0700

m

yyyy-MM-dd HH:mm:ssZ

2018-09-13 16:45:00+0700

s

yyyy-MM-dd HH:mm:ssZ

2018-09-13 16:45:34+0700

y!

yyyy

2018

q!

yyyy-MM

2018-04

M!

yyyy-MM

2018-09

w!

yyyy-MM-dd

2018-09-09

d!

yyyy-MM-dd

2018-09-13

h!

yyyy-MM-dd HH

2018-09-13 16

m!

yyyy-MM-dd HH:mm

2018-09-13 16:45

s!

yyyy-MM-dd HH:mm:ss

2018-09-13 16:45:34

If there is no 

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
2, the return value should be the same as:

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
3

Signature

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
4

Description

This UDF performs a timestamp truncation at the level specified by the ‘unit’ parameter. The supported units are:

  • ‘minute’

  • ‘hour’

  • ‘day’

  • ‘week’

  • ‘month’

  • ‘quarter’

  • ‘year’

An optional ‘timezone’ parameter can be specified to indicate an alternative reference timezone for the ‘unit’. If the input ‘time’ is in global UNIX time format, in different timezones, the start of a day corresponds to different times.

This function mimics the functionality of native Presto’s 

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
4 function. However, Presto’s 
SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
4 does not allow specification of the timezone.

Example

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
5

with 

SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
6 equal 
SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
7 corresponding to ‘
SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
8’ returns 
SELECT ... WHERE TD_TIME_RANGE(time,
                               '2013-01-01',
                               TD_TIME_ADD('2013-01-01', '1d'))
9 corresponding to ‘
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
0’.

With the same value and timezone ‘PST’ instead,

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
6

the function returns 1416729600  because the start of the day for the ‘PST’ timezone is 8 hours behind the start of the day for ‘UTC’.

Signature

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
7

Description

Sessionization of a table of event data groups a series of event rows associated with users into individual sessions for analysis. The series of events to be grouped into a session must be associated with the same user identifier (typically IP address, email, cookie, or similar identifier) and events are separated by no more than a chosen timeout interval.

TD_SESSIONIZE_WINDOW is a UDF window function used for sessionization. It replaces TD_SESSIONIZE. TD_SESSIONIZE_WINDOW provides consistent results and better performance.

TD_SESSIONIZE_WINDOW takes two arguments:

  • The time field specified in the UNIX epoch

  • A timeout interval in seconds (when this amount of time elapses between events, it indicates the start of a new session)

Other usage notes:

  • Use an OVER clause to partition the input rows

  • Partition rows based on the user identifier

  • ORDER the rows by the time column passed to TD_SESSIONIZE_WINDOW

Example

The following example is equivalent to the SELECT statement example in the deprecated TD_SESSIONIZE.

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
8

Signature

SELECT TD_APPROX_MOST_FREQUENT(3, values, 10);
9

Description

This UDF returns the result of parsing a user agent string. The user agent is parsed on the basis of rules. Where options are:

Options

Accepts

Returns

os

sting

JSON

os_family

string

string

os_major

string

string

os_minor

string

string

ua

string

JSON

ua_family

string

string

ua_major

string

string

ua_minor

string

string

device

string

string

Example

The example shows the result of parsing user agent from access log.

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
0

This UDF returns a Map value of results to parse a user agent string. The UDF is implemented by Woothee.

Signature

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
1

Example

The example shows the result of parsing the user agent from an access log. If you want to extract a specific ‘key’ from the user agent map. TD recommends using the 

string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
1 presto function because it is tolerant of non-existent keys. Extracting keys with the 
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
2 operator (e.g. 
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
3 will throw an error if the sought after the key is not present in the map.

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
2

Signature

Description

This UDF calculates the MD5 hash digest from a given string.

Example

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
3

TD_URL_DECODE supports URL decoding for a given string and euc-kr (extended unix code for Korean).

URL Decoding

Signature

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
4

Description

string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
4applies URL decoding for a given string. This UDF returns 
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
5 if a character is 
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
6 or 
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
7, or 
string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
8. This UDF is similar to URL_DECODE(col).

Example

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
5

URL EUC-KR

Signature

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
6

Description

string TD_TIME_FORMAT(long unix_timestamp,
                      string format
                      [, string timezone = 'UTC'])
4applies URL decoding for a given URL.

 Example

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
7

Signature

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
8

Description

This UDF calculates the variable-length digest from a given string. It usually generates 6-10 characters of digest from the given string. Due to the higher compression ratio, there is a higher collision ratio, around 5% on average. If you want to avoid the collisions, increase the value of the weight parameter.

Example

boolean TD_TIME_RANGE(int/long unix_timestamp,
                      int/long/string start_time,
                      int/long/string end_time
                      [, string default_timezone = 'UTC'])
9

Signature

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
0

Description

This UDF converts currency for the specific date, by accessing the currency exchange rate database.

Example

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
1

Both Hive and Presto UDFs use a geolocation database supplied by Maxmind. Due to release schedules, the release level of the Maxmind database used by Hive and Presto might be different. This might cause inconsistent results between Hive and Presto geolocation functions.

An example of different results is as follows:

jobid

type

td_ip_to_city_name_v6

td_ip_to_latitude_v6

td_ip_to_longitude_v6

td_ip_to_postal_code_v6

218018944

hive

Tokyo

35.685

139.7514

102-0082

218019099

presto

35.6594

139.8533

134-0087

Signature

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
2

Description

This UDF converts IP address to country code. This UDF supports IPv4 and IPv6.

Example

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
3

The function returns 

SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
0 in this example.

Signature

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
4

Description

This UDF converts IP address to country code. This UDF supports IPv4 and IPv6.

Example

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
5

The function returns 

SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
1 in this example.

Signature

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
6

Description

This UDF converts IP address to a list of subdivisions (e.g. US states, JP prefectures, etc). This UDF supports IPv4 and IPv6.

Example

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
7

Signature

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
8

Description

This UDF converts IP address to the most specific subdivisions (e.g. US states, JP prefectures, etc). This UDF supports IPv4 and IPv6.

Example

SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01 PDT')                 # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', '2013-01-02','PDT') # OK
SELECT ... WHERE TD_TIME_RANGE(time, NULL, '2013-01-01', 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', NULL, 'PDT')        # OK
SELECT ... WHERE TD_TIME_RANGE(time, '2013-01-01', 'PDT')              # NG
9

Signature

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
0

Description

This UDF converts IP address to the least specific subdivisions (e.g. US states, JP prefectures, etc). This UDF supports IPv4 and IPv6.

Example

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
1

Signature

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
2

Description

This UDF converts IP address to city name. This UDF supports IPv4 and IPv6.

Example

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
3

Signature

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
4

Description

This UDF converts IP address to latitude. This UDF supports IPv4 and IPv6.

Example

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
5

Signature

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
6

Description

This UDF converts IP address to longitude. This UDF supports IPv4 and IPv6.

Example

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
7

Signature

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
8

Description

This UDF converts IP address to metro code (US Only). This UDF supports IPv4 and IPv6.

Example

boolean TD_INTERVAL(int/long time,
                    string interval_string,
                    [, string default_timezone = 'UTC'])
9

Signature

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
0

Description

This UDF converts IP address to time zone. This UDF supports IPv4 and IPv6.

Example

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
1

Signature

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
2

Description

This UDF converts IP address to postal code. This UDF supports IPv4 and IPv6.

Example

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
3

Signature

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
4

Description

This UDF converts IP address to connection type. This UDF supports IPv4 and IPv6.

Example

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
5

Possible values are 

SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
2, 
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
3, 
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
4 or 
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
5.

Signature

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
6

Description

This UDF converts IP address to domain. This UDF supports IPv4 and IPv6.

Example

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
7

Signature

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
8

Description

This UDF converts geolocation information (latitude/longitude) to the country name.

Example

# The last 7 days [2018-08-07 00:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d')
# The last week. Monday is the beginning of the week (ISO standard) [2018-08-05 00:00:00, 2018-08-13 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1w')
# Today [2018-08-14 00:00:00, 2018-08-15 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1d')
# The last month [2018-07-01 00:00:00, 2018-08-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1M')
# This month [2018-08-01 00:00:00, 2018-09-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1M')
# This year [2018-01-01 00:00:00, 2019-01-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '1y')
# The last 15 minutes [2018-08-14 00:08:00, 2018-08-14 01:23:00)
SELECT  ... WHERE TD_INTERVAL(time, '-15m')
# The last 30 seconds [2018-08-14 01:23:15, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-30s')
# The last hour [2018-08-14 00:00:00, 2018-08-14 01:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h')
# From the last hour to now [2018-08-14 00:00:00, 2018-08-14 01:23:45)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/now')
# The last hour since the beginning of today [2018-08-13 23:00:00, 2018-08-14 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-1h/0d')
# The last 7 days since 2015-12-25 [2015-12-18 00:00:00, 2015-12-25 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-7d/2015-12-25')
# The last 10 days since the beginning of the last month [2018-06-21 00:00:00, 2018-07-01 00:00:00)
SELECT  ... WHERE TD_INTERVAL(time, '-10d/-1M')
# The last 7 days in JST
SELECT  ... WHERE TD_INTERVAL(time, '-7d', 'JST')
9

This function is not supported.

Signature

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
0

Description

This UDF returns the concatenation of 

SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
6 with 
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
7 ordered by 
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'PST') ... FROM ...
SELECT TD_TIME_FORMAT(time, 'yyyy-MM-dd HH:mm:ss z', 'JST') ... FROM ...
8in a group of values.

Example

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
1

Geometry types are the building blocks of geospatial queries and calculations. They are used as arguments for geospatial functions. Geometry type is the product of a constructor function.

ST_Point and ST_Polygon are examples of geospatial functions used to obtain binary representations of a point, `line, or polygon. You can also use them to convert a geometry data type to text.

Signature

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
2

Description

A constructor function that returns a geometry type point object with the given coordinate values.

Example

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
3

The above query returns a list of schools that are within a geographic area stored in the counties table. The ‘st_point’ constructor is used to create the point that is being used.

RESULT: School Phone Pelham H.S. (212) 948 5300 Midrand M.S. (212) 233 3587

Signature

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
4

Description

Returns a geometry type polygon object from WKT representation.

Example

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
5

The above query returns a list of reservoirs that are within a geographic area of a park in the parks table. The ‘ST_Polygon’ constructor is used to create the polygon that is being used.

RESULT: Park Area Hope Fountain 4000 Hot Springs 5156

ST_Intersection and ST_Intersects are examples of Geospatial Relationship Functions. Relationship functions allow you to find relationships between two different geometric inputs. They return a boolean result type.

Signature

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
6

Description

Returns the geometry value that represents the point set intersection of two geometries.

Example

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
7

RESULT: POINT(1 0) (1 row)

Returns the intersection of 2 points as text coordinates.

Signature

long TD_TIME_ADD(int/long/string time,
                 string duration
                 [, string default_timezone = 'UTC'])
8

RESULT: true (1 row)

Description

Returns true if the given geometries spatially intersect in two dimensions (share any portion of space) and false if they do not (they are disjoint).

What is Presto map?

Presto map is a place for mystery shoppers to find mystery shops based off their geographic location. Shoppers can go on Prestomap.com and use their location or put in another address to find mystery shops in their area.

How do you find the length of an array in Presto?

In order to get the length or size of an array in Presto, you can use the cardinality function. cardinality takes in an array and will output the size or length of an array. Running this should give me all the rows in my table where my_array is a non-empty array.

presto key present map Presto map_keys example Presto map_values example Presto map Example Presto element_at map Presto map function

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