DDevelopment & Design

Indeksy na kolumnach z wartościami nullowymi cz. 1

A tak dokładnie aby zadziałał, gdy chcemy zrobić zapytanie:

select * from tablica where kolumna is null;

Zakładamy wtedy indeks funkcyjny: 

create index kolumna_idx on tablica (NVL(kolumna,TO_DATE(' 4000-01-01', 'syyyy-mm-dd')))

I wtedy musimy tak konstruować zapytanie, aby mogło wykorzystać powyższy indeks: 

select * from tablica   where NVL(kolumna,TO_DATE('4000-01-01', 'syyyy-mm-dd')) = TO_DATE('4000-01-01', 'syyyy-mm-dd')

Dla porównania koszt tradycyjnego zapytania: 

select count(*) from dh_monitor.events where valid_to is null

to 8122. Dla porównania, zapytanie które wykorzystuje indeks ma koszt 3!!!

select count(*) from  events where NVL(VALID_TO,TO_DATE('4000-01-01 ', 'syyyy-mm-dd')) = TO_DATE('4000-01-01', 'syyyy-mm-dd')

Dla tabeli, gdzie stosunek ilości nullowych wierszy do wszystkich w tabeli wynosi: 6.568/5.999.617

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DDevelopment & Design

New HTTP Logger Grails plugin

I've wrote a new Grails plugin - httplogger. It logs:

  • request information (url, headers, cookies, method, body),
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  • response information (elapsed time and body).

It is mostly useful for logging your REST traffic. Full HTTP web pages can be huge to log and generally waste your space. I suggest to map all of your REST controllers with the same path in UrlMappings, e.g. /rest/ and configure this plugin with this path.

Here is some simple output just to give you a taste of it.

17:16:00,331 INFO  filters.LogRawRequestInfoFilter  - 17:16:00,340 INFO  filters.LogRawRequestInfoFilter  - 17:16:00,342 INFO  filters.LogGrailsUrlsInfoFilter  - 17:16:00,731 INFO  filters.LogOutputResponseFilter  - >> #1 returned 200, took 405 ms.
17:16:00,745 INFO  filters.LogOutputResponseFilter  - >> #1 responded with '{count:0}'
17:18:55,799 INFO  filters.LogRawRequestInfoFilter  - 17:18:55,799 INFO  filters.LogRawRequestInfoFilter  - 17:18:55,800 INFO  filters.LogRawRequestInfoFilter  - 17:18:55,801 INFO  filters.LogOutputResponseFilter  - >> #2 returned 404, took 3 ms.
17:18:55,802 INFO  filters.LogOutputResponseFilter  - >> #2 responded with ''

Official plugin information can be found on Grails plugins website here: http://grails.org/plugins/httplogger or you can browse code on github: TouK/grails-httplogger.

DDevelopment & Design

Need to make a quick json fixes – JSONPath for rescue

From time to time I have a need to do some fixes in my json data. In a world of flat files I do this with grep/sed/awk tool chain. How to handle it for JSON? Searching for a solution I came across the JSONPath. It quite mature tool (from 2007) but I haven't hear about it so I decided to share my experience with others.

First of all you can try it without pain online: http://jsonpath.curiousconcept.com/. Full syntax is described at http://goessner.net/articles/JsonPath/



But also you can download python binding and run it from command line:
$ sudo apt-get install python-jsonpath-rw
$ sudo apt-get install python-setuptools
$ sudo easy_install -U jsonpath

After that you can use inside python or with simple cli wrapper:
#!/usr/bin/python
import sys, json, jsonpath

path = sys.argv[1]

result = jsonpath.jsonpath(json.load(sys.stdin), path)
print json.dumps(result, indent=2)

… you can use it in your shell e.g. for json:
{
"store": {
"book": [
      {
"category": "reference",
"author": "Nigel Rees",
"title": "Sayings of the Century",
"price": 8.95
      },
      {
"category": "fiction",
"author": "Evelyn Waugh",
"title": "Sword of Honour",
"price": 12.99
      },
      {
"category": "fiction",
"author": "Herman Melville",
"title": "Moby Dick",
"isbn": "0-553-21311-3",
"price": 8.99
      },
      {
"category": "fiction",
"author": "J. R. R. Tolkien",
"title": "The Lord of the Rings",
"isbn": "0-395-19395-8",
"price": 22.99
      }
    ],
"bicycle": {
"color": "red",
"price": 19.95
    }
  }
}

You can print only book nodes with price lower than 10 by:
$ jsonpath '$..book[?(@.price

Result:
[
  {
"category": "reference",
"price": 8.95,
"title": "Sayings of the Century",
"author": "Nigel Rees"
  },
  {
"category": "fiction",
"price": 8.99,
"title": "Moby Dick",
"isbn": "0-553-21311-3",
"author": "Herman Melville"
  }
]

Have a nice JSON hacking!From time to time I have a need to do some fixes in my json data. In a world of flat files I do this with grep/sed/awk tool chain. How to handle it for JSON? Searching for a solution I came across the JSONPath. It quite mature tool (from 2007) but I haven't hear about it so I decided to share my experience with others.