I have a one tables in Postgresql and cannot find how to build a query.
The table contains columns nr_serii and deleteing_time. I trying to count nr_serii and substract from this positions with deleting_time.
My query:
select nr_serii , count(nr_serii ) as ilosc,count(deleting_time) as ilosc_delete
from MyTable
group by nr_serii, deleting_time
output is:
+--------------------+
| "666666";1;1 |
| "456456";1;0 |
| "333333";3;0 |
| "333333";1;1 |
| "111111";1;1 |
| "111111";3;0 |
+--------------------+
The part of table with raw data:
+--------------------------------+
| "666666";"2020-11-20 14:08:13" |
| "456456";"" |
| "333333";"" |
| "333333";"" |
| "333333";"" |
| "333333";"2020-11-20 14:02:23" |
| "111111";"" |
| "111111";"" |
| "111111";"2020-11-20 14:08:04" |
| "111111";"" |
+--------------------------------+
And i need substract column ilosc and column ilosc_delete
example:
nr_serii:333333 ilosc:3-1=2
Expected output:
+-------------+
| "666666";-1 |
| "456456";1 |
| "333333";2 |
| "111111";2 |
| ... |
+-------------+
I think this is very simple solution for this but i have empty in my head.
I see what you want now. You want to subtract the number where deleting_time is not null from the ones where it is null:
select nr_serii,
count(*) filter (where deleting_time is null) - count(deleting_time) as ilosc_delete
from MyTable
group by nr_serii;
Here is a db<>fiddle.
Consider the following sample table("Customer") with these records
=========
Customer
=========
-----------------------------------------------------------------------------------------------
| customer-id | att-a | att-b | att-c | att-d | att-e | att-f | att-g | att-h | att-i | att-j |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-1 | att-a-7 | att-b-3 | att-c-10 | att-d-10 | att-e-15 | att-f-11 | att-g-2 | att-h-7 | att-i-5 | att-j-14 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-2 | att-a-9 | att-b-7 | att-c-12 | att-d-4 | att-e-10 | att-f-4 | att-g-13 | att-h-4 | att-i-1 | att-j-13 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-3 | att-a-10 | att-b-6 | att-c-1 | att-d-1 | att-e-13 | att-f-12 | att-g-9 | att-h-6 | att-i-7 | tt-j-4 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
| customer-19 | att-a-7 | att-b-9 | att-c-13 | att-d-5 | att-e-8 | att-f-5 | att-g-12 | att-h-14 | att-i-13 | att-j-15 |
--------------+-------+-------+-------+-------+-------+-------+-------+-------+-------+-------+
I have these records and many more records dumped into SQL database and wanted to find top 10 similar customer based on the attribute value. For example customer-1 and customer-19 have atleast one column value matching .i.e "att-a-7" so the output should give me 2 customer-id's or top similar customer that are customer-1 and customer-19.
P.S - there can be one or more columns similar across rows.
I'm using windowing technique to find top 10 similar customer and im not sure if I'm correct.
following is my approach I used in my query :
row_number() over (partition by att-a, att-b,..,att-j order by customer-id) as customers
is this correct. ?
Given a set (lat, long) I am trying to find the maximum speed using "max_speed" and street type using "highway".
I have loaded my database (Postgres and Postgis) as follows:
$ osm2pgsql -c -d gis --slim -C 50000 /var/lib/postgresql/data/germany-latest.osm.pbf
The closest related question I could find was How to query all shops around a certain longitude/latitude using osm-postgis?. I have taken the query, and plugged in a (lat, long) that I found in google maps for the city center of Munich (as the post was also related to city center Munich and I have the map for Germany). The result turns up empty.
gis=# SELECT name, shop FROM planet_osm_point WHERE ST_DWithin(way ,ST_SetSrid(ST_Point(48.137969, 11.573829), 900913), 100);
name | shop
------+------
(0 rows)
Also when looking into the planet_osm_nodes, which contains (lat, long) pairs directly, I end up with no results:
gis=# SELECT * FROM planet_osm_nodes WHERE ((lat BETWEEN 470000000 AND 490000000) AND (lon BETWEEN 100000000 AND 120000000)) LIMIT 10;
id | lat | lon | tags
----+-----+-----+------
(0 rows)
I verified the data is in my database:
gis=# SELECT COUNT(*) FROM planet_osm_point;
count
---------
9924531
(1 row)
and
gis=# SELECT COUNT(*) FROM planet_osm_nodes;
count
-----------
288597897
(1 row)
So ideally, my question would be
Q: How can I find the "max speed" and "highway" given a set (lat, lon)
alternatively, my questions is:
Q: How do I get the query from the other stack overflow post to work?
My best guess is that I need to transform my (lat, lon) in some way, or that I simply have the wrong data for whatever reason.
Edit: added sample data as requested:
gis=# SELECT * FROM planet_osm_point LIMIT 1;
osm_id | access | addr:housename | addr:housenumber | addr:interpolation | admin_level | aerialway | aeroway | amenity | area | barrier | bicycle | brand | bridge | boundary | building | capital | construction | covered | culvert |
cutting | denomination | disused | ele | embankment | foot | generator:source | harbour | highway | historic | horse | intermittent | junction | landuse | layer | leisure | lock | man_made | military | motorcar | name | natural | off
ice | oneway | operator | place | poi | population | power | power_source | public_transport | railway | ref | religion | route | service | shop | sport | surface | toll | tourism | tower:type | tunnel | water | waterway | wetland | wi
dth | wood | z_order | way
-----------+--------+----------------+------------------+--------------------+-------------+-----------+---------+---------+------+---------+---------+-------+--------+----------+----------+---------+--------------+---------+---------+
---------+--------------+---------+-----+------------+------+------------------+---------+----------+----------+-------+--------------+----------+---------+-------+---------+------+----------+----------+----------+------+---------+----
----+--------+----------+-------+-----+------------+-------+--------------+------------------+---------+-----+----------+-------+---------+------+-------+---------+------+---------+------------+--------+-------+----------+---------+---
----+------+---------+----------------------------------------------------
304070863 | | | | | | | | | | | | | | | | | | | |
| | | | | | | | crossing | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | | | | | | |
| | | 010100002031BF0D0048E17A94F19F2941CDCCCCDCC60D5741
(1 row)
and
gis=# SELECT * FROM planet_osm_nodes LIMIT 1;
id | lat | lon | tags
--------+-----------+----------+------
234100 | 666501948 | 80442755 |
(1 row)
Edit 2: There was a mention regarding "SRID", so I added example data from another table:
gis=# SELECT * FROM spatial_ref_sys LIMIT 1;
srid | auth_name | auth_srid | srtext
| proj4text
------+-----------+-----------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------------+------------------------------------------------------------------------------------------------
3819 | EPSG | 3819 | GEOGCS["HD1909",DATUM["Hungarian_Datum_1909",SPHEROID["Bessel 1841",6377397.155,299.1528128,AUTHORITY["EPSG","7004"]],TOWGS84[595.48,121.69,515.35,4.115,-2.9383,0.853,-3.408],AUTHORITY["EPSG","1024"]],PR
IMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","3819"]] | +proj=longlat +ellps=bessel +towgs84=595.48,121.69,515.35,4.115,-2.9383,0.853,-3.408 +no_defs
(1 row)
Geometry in PostGIS has a different ordering of (lat long) first is going longitude then latitude.
Also if you want to transform a point from one SRID to another use st_transfrom(), not ST_SetSrid.
ST_Transform relly transform your data from one coordinates system to another.
select st_astext(st_transform(ST_SetSrid(ST_Point(11.573829,48.137969), 4326),900913))
ST_SetSrid - just change SRID for the object.
select st_astext((ST_SetSrid(ST_Point(11.573829,48.137969),900913)
So, you have to change your SQL that way
SELECT name, shop
FROM planet_osm_point
WHERE ST_DWithin(way,st_transform(ST_SetSrid(ST_Point(11.573829,48.137969), 4326),900913), 100);
I'm considering aerospike for one of our projects. So I currently created a 3 node cluster and loaded some data on it.
Sample data
ns: imei
set: imei_data
+-------------------+-----------------------+-----------------------+----------------------------+--------------+--------------+
| imsi | fcheck | lcheck | msc | fcheck_epoch | lcheck_epoch |
+-------------------+-----------------------+-----------------------+----------------------------+--------------+--------------+
| "413010324064956" | "2017-03-01 14:30:26" | "2017-03-01 14:35:30" | "13d20b080011044917004100" | 1488358826 | 1488359130 |
| "413012628090023" | "2016-09-21 10:06:49" | "2017-09-16 13:54:40" | "13dc0b080011044917006100" | 1474432609 | 1505550280 |
| "413010130130320" | "2016-12-29 22:05:07" | "2017-10-09 16:17:10" | "13d20b080011044917003100" | 1483029307 | 1507546030 |
| "413011330114274" | "2016-09-06 01:48:06" | "2017-10-09 11:53:41" | "13d20b080011044917003100" | 1473106686 | 1507530221 |
| "413012629781993" | "2017-08-16 16:03:01" | "2017-09-13 18:10:48" | "13dc0b080011044917004100" | 1502879581 | 1505306448 |
Then I created a secondary index on lcheck_epoch using AQL since I want to query based on date.
create index idx_lcheck on imei.imei_data (lcheck_epoch) NUMERIC
+--------+----------------+-----------+-------------+-------+--------------+----------------+-----------+
| ns | bin | indextype | set | state | indexname | path | type |
+--------+----------------+-----------+-------------+-------+--------------+----------------+-----------+
| "imei" | "lcheck_epoch" | "NONE" | "imei_data" | "RW" | "idx_lcheck" | "lcheck_epoch" | "NUMERIC" |
+--------+----------------+-----------+-------------+-------+--------------+----------------+-----------+
When I execute
select imsi from imei.imei_data where idx_lcheck=1476165806
I'm getting
Error: (204) AEROSPIKE_ERR_INDEX
Please explain.
You're using the index name, not the bin name, in your query. Try this:
SELECT imsi FROM imei.imei_data WHERE lcheck_epoch=1476165806
Or
SELECT imsi FROM imei.imei_data WHERE lcheck_epoch BETWEEN 1490000000 AND 1510000000
Just a note, you can do much more complex queries using predicate filtering through several of the language clients (Java, C, C#, Go). For example the PredExp class of the Java client (see examples.)
I am casting a real to an int and a float to an int and comparing the two like this:
where
cast(a.[SUM(PAID_AMT)] as int)!=cast(b.PAID_AMT as int)
but i am still getting results where the two are equal. for example:
+-----------+-----------+------------+------------+----------+
| accn | load_dt | pmtdt | sumpaidamt | Bpaidamt |
+-----------+-----------+------------+------------+----------+
| A133312 | 6/7/2011 | 11/28/2011 | 98.39 | 98.39 |
| A445070 | 6/2/2011 | 9/22/2011 | 204.93 | 204.93 |
| A465606 | 5/19/2011 | 10/19/2011 | 560.79 | 560.79 |
| A508742 | 7/12/2011 | 10/19/2011 | 279.65 | 279.65 |
| A567730 | 5/27/2011 | 10/24/2011 | 212.76 | 212.76 |
| A617277 | 7/12/2011 | 10/12/2011 | 322.02 | 322.02 |
| A626384 | 6/16/2011 | 10/21/2011 | 415.84 | 415.84 |
| AA0000044 | 5/12/2011 | 5/23/2011 | 197.38 | 197.38 |
+-----------+-----------+------------+------------+----------+
here is the full query:
select
a.accn,
a.load_dt,
a.pmtdt,
a.[SUM(PAID_AMT)] sumpaidamt,
sum(b.paid_amt) Bpaidamt
from
[MILLENNIUM_DW_DEV].[dbo].[Millennium_Payment_Data_May2011_July2012] a
join
F_PAYOR_PAYMENTS_DAILY b
on
a.accn=b.ACCESSION_ID
and
a.final_rpt_dt=b.FINAL_REPORT_DATE
and
a.load_dt=b.LOAD_DATE
and
a.pmtdt=b.PAYMENT_DATE
where
cast(a.[SUM(PAID_AMT)] as int)!=cast(b.PAID_AMT as int)
group by
a.accn,
a.load_dt,
a.pmtdt,
a.[SUM(PAID_AMT)]
what am i doing wrong? how do i return only records that are NOT equal?
I don't see why there is an issue.
The query is returning the sum of the payments in b (sum(b.paid_amt) Bpaidamt). The where clause is comparing individual payments. This just means that there is more than one payment.
Perhaps your intention is to have a HAVING clause instead:
having cast(a.[SUM(PAID_AMT)] as int)!=cast(sum(b.PAID_AMT) as int)
You can do a round and a cast statement.
cast(round(sumpaidamt,2) as money) <> cast(round(Bpaidamt,2) as money)
Sql Fiddle showing how it would work http://sqlfiddle.com/#!3/4eb79/1