In this post, we give a preview of the new InfluxQL functions in version 1.3. Check in next week for the most interesting TICK Stack related issues, workarounds, how-tos, and Q&A from GitHub, IRC, and the InfluxData Community.
New Function: INTEGRAL()
INTEGRAL() function returns the area under the curve for subsequent field values. The query below returns the area under the curve (in seconds) for the field values associated with the
water_level field key and in the
> SELECT INTEGRAL("water_level") FROM "h2o_feet" WHERE "location" = 'santa_monica' AND time >= '2015-08-18T00:00:00Z' AND time <= '2015-08-18T00:30:00Z' name: h2o_feet time integral ---- -------- 1970-01-01T00:00:00Z 3732.66
New Function: NON_NEGATIVE_DIFFERENCE()
NON_NEGATIVE_DIFFERENCE() function returns the non-negative result of subtraction between subsequent field values. Non-negative results of subtraction include positive differences and differences that equal zero. The query below returns the non-negative difference between subsequent field values in the
water_level field key and in the
> SELECT NON_NEGATIVE_DIFFERENCE("water_level") FROM "h2o_feet" WHERE time >= '2015-08-18T00:00:00Z' AND time <= '2015-08-18T00:30:00Z' AND "location" = 'santa_monica' name: h2o_feet time non_negative_difference ---- ----------------------- 2015-08-18T00:06:00Z 0.052000000000000046 2015-08-18T00:18:00Z 0.09799999999999986 2015-08-18T00:30:00Z 0.010000000000000231
Updated Functions: TOP() and BOTTOM()
Version 1.3 introduces three major changes to the
BOTTOM()no longer support other functions in the
SELECTclause. The following query returns an error:
> SELECT TOP(value,1),MEAN(value) FROM "gopher" ERR: error parsing query: selector function top() cannot be combined with other functions
BOTTOM()now maintain tags as tags if the query includes a tag key as an argument. The query below preserves
locationas a tag in the newly-written data:
> SELECT BOTTOM("water_level","location",2) INTO "bottom_water_levels" FROM "h2o_feet" name: result time written ---- ------- 1970-01-01T00:00:00Z 2 > SHOW TAG KEYS FROM "bottom_water_levels" name: bottom_water_levels tagKey ------ location
BOTTOM()now preserve the timestamps in the original data when they’re used with the
GROUP BY time()clause. The following query returns the points’ original timestamps; the timestamps are not forced to match the start of the
GROUP BY time()intervals:
> SELECT TOP("water_level",2) FROM "h2o_feet" WHERE time >= '2015-08-18T00:00:00Z' AND time <= '2015-08-18T00:30:00Z' AND "location" = 'santa_monica' GROUP BY time(18m) name: h2o_feet time top ---- ------ __ 2015-08-18T00:00:00Z 2.064 | 2015-08-18T00:06:00Z 2.116 | <------- Greatest points for the first time interval -- __ 2015-08-18T00:18:00Z 2.126 | 2015-08-18T00:30:00Z 2.051 | <------- Greatest points for the second time interval --
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