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로그 테이블 활용 샘플 예제
로그 테이블 활용 샘플 예제
로그 테이블 생성
입력할 로그 데이터는 다음은 csv 포맷의 파일이다.
[machbase@localhost csvload]$ cd $MACHBASE_HOME/tutorials/csvload [machbase@localhost csvload]$ more sample_data.csv 2015-05-20 06:00:00,63.214.191.124,2296,122.195.164.32,5416,12,GET /twiki/bin/view/Main/TWikiGroups?rev=1.2 HTTP/1.1,200,5162 2015-05-20 06:00:07,212.237.153.79,6203,71.129.68.118,8859,67,GET /twiki/bin/view/Main/WebChanges HTTP/1.1,200,40520 2015-05-20 06:00:07,243.9.49.80,344,122.195.164.32,6203,46,GET /twiki/bin/view/Main/TWikiGroups?rev=1.2 HTTP/1.1,200,5162 2015-05-20 06:00:07,232.191.241.129,5377,174.47.129.59,1247,17,GET /mailman/listinfo/hsdivision HTTP/1.1,200,6291 2015-05-20 06:00:07,121.67.24.216,2296,212.237.153.79,6889,68,GET /twiki/bin/view/TWiki/WebTopicEditTemplate HTTP/1.1,200,3732 2015-05-20 06:00:07,31.224.72.52,450,100.46.183.122,10541,20,GET /twiki/bin/view/Main/WebChanges HTTP/1.1,200,40520 2015-05-20 06:00:07,210.174.159.227,6180,173.149.119.202,6927,2,GET /twiki/bin/rdiff/TWiki/AlWilliams?rev1=1.2&rev2=1.1 HTTP/1.1,200,5234 2015-05-20 06:00:07,210.174.159.227,10124,16.194.51.72,10512,69,GET /twiki/bin/rdiff/TWiki/AlWilliams?rev1=1.2&rev2=1.1 HTTP/1.1,200,5234 2015-05-20 06:00:07,60.48.99.15,12333,85.183.139.166,12020,64,GET /robots.txt HTTP/1.1,200,68
로그 데이터의 각각의 필드 값을 확인하고 테이블을 생성한다. machsql 상에서 'CREATE TABLE' 구문을 이용하여 생성하면 된다.
CREATE TABLE SAMPLE_TABLE ( srcip IPV4, srcport INTEGER, dstip IPV4, dstport INTEGER, protocol SHORT, eventlog VARCHAR(1204), eventcode SHORT, eventsize LONG );
또는 테이블 생성 스크립트 파일을 만들어서 OS 커맨드 라인상에서 machsql 을 실행해도 된다.
[machbase@localhost csvload]$ machsql -s localhost -u sys -p manager -f create_sample_table.sql ================================================================= Machbase Client Query Utility Release Version x.x.x.official Copyright 2014 MACHBASE Corporation or its subsidiaries. All Rights Reserved. ================================================================= MACHBASE_CONNECT_MODE=INET, PORT=5656 Type 'help' to display a list of available commands. Mach> CREATE TABLE SAMPLE_TABLE ( srcip IPV4, srcport INTEGER, dstip IPV4, dstport INTEGER, protocol SHORT, eventlog VARCHAR(1204), eventcode SHORT, eventsize LONG ); Created successfully.
로그 데이터 입력
로그 데이터는 csv 포맷 파일이므로 csvimport 를 이용하여 로딩하면 된다.
로그 파일의 첫번째 필드가 날짜인데, 이 값을 _arrival_time 컬럼에 입력하도록 옵션을 지정한다.
[machbase@localhost csvload]$ csvimport -t sample_table -d sample_data.csv -a -F "_arrival_time YYYY-MM-DD HH24:MI:SS" ----------------------------------------------------------------- Machbase Data Import/Export Utility. Release Version x.x.x.official Copyright 2014, MACHBASE Corporation or its subsidiaries. All Rights Reserved. ----------------------------------------------------------------- NLS : US7ASCII EXECUTE MODE : IMPORT TARGET TABLE : sample_table DATA FILE : sample_data.csv IMPORT_MODE : APPEND FILED TERM : , ROW TERM : ENCLOSURE : " ESCAPE : " ARRIVAL_TIME : TRUE ENCODING : NONE HEADER : FALSE CREATE TABLE : FALSE Progress bar Imported records Error records 1000000 0 Import time : 0 hour 0 min 5.728 sec Load success count : 1000000 Load fail count : 0 [machbase@localhost csvload]$
로그 데이터 조회
데이터 조회는 machsql 상에서 확인한다.
[machbase@localhost csvload]$ machsql ================================================================= Machbase Client Query Utility Release Version x.x.x.official Copyright 2014 MACHBASE Corporation or its subsidiaries. All Rights Reserved. ================================================================= Machbase server address (Default:127.0.0.1) : Machbase user ID (Default:SYS) Machbase User Password : MACHBASE_CONNECT_MODE=INET, PORT=5656 Type 'help' to display a list of available commands. Mach> show tables; NAME TYPE ----------------------------------------------------------------------------------------------- SAMPLE_TABLE LOG [1] row(s) selected. Mach> desc sample_table; [ COLUMN ] ---------------------------------------------------------------- NAME TYPE LENGTH ---------------------------------------------------------------- SRCIP ipv4 15 SRCPORT integer 11 DSTIP ipv4 15 DSTPORT integer 11 PROTOCOL short 6 EVENTLOG varchar 1204 EVENTCODE short 6 EVENTSIZE long 20 Mach> SELECT COUNT(*) FROM SAMPLE_TABLE; COUNT(*) ----------------------- 1000000 [1] row(s) selected. Mach> SELECT SRCIP, COUNT(*) FROM SAMPLE_TABLE GROUP BY SRCIP ORDER BY 2 DESC LIMIT 10; SRCIP COUNT(*) ---------------------------------------- 96.128.212.177 13594 173.149.119.202 13546 219.229.142.218 13537 69.99.246.62 13511 239.81.105.222 13501 86.45.186.17 13487 231.146.69.51 13483 248.168.229.34 13472 105.9.103.49 13472 115.18.128.171 13468 [10] row(s) selected. Mach>
인덱스 생성 및 조회
생성된 sample_table 컬럼 중에서 varchar 형인 eventlog 컬럼에 대해서 keyword 인덱스를 생성하고 텍스트 검색을 해본다.
-- eventlog_index 인덱스를 생성한다. Mach> CREATE INDEX eventlog_index ON SAMPLE_TABLE( eventlog) INDEX_TYPE KEYWORD; Created successfully. Elapsed time: 0.442 -- 생성된 인덱스를 확인한다. Mach> desc sample_table; [ COLUMN ] ---------------------------------------------------------------- NAME TYPE LENGTH ---------------------------------------------------------------- SRCIP ipv4 15 SRCPORT integer 11 DSTIP ipv4 15 DSTPORT integer 11 PROTOCOL short 6 EVENTLOG varchar 1204 EVENTCODE short 6 EVENTSIZE long 20 [ INDEX ] ---------------------------------------------------------------- NAME TYPE COLUMN ---------------------------------------------------------------- EVENTLOG_INDEX KEYWORD_LSM EVENTLOG -- SEARCH 구문을 이용하여 'view' 가 들어간 데이터를 검색한다. Mach> SELECT EVENTLOG FROM SAMPLE_TABLE WHERE EVENTLOG SEARCH 'view' LIMIT 10; EVENTLOG ------------------------------------------------------------------------------------ GET /twiki/bin/view/TWiki/ManagingWebs?skin=print HTTP/1.1 GET /twiki/bin/view/Main/TokyoOffice HTTP/1.1 GET /twiki/bin/view/TWiki/ManagingWebs?rev=1.22 HTTP/1.1 GET /twiki/bin/view/Main/DCCAndPostFix HTTP/1.1 GET /twiki/bin/view/TWiki/WebTopicEditTemplate HTTP/1.1 GET /twiki/bin/view/Main/TokyoOffice HTTP/1.1 GET /twiki/bin/view/TWiki/WikiCulture HTTP/1.1 GET /twiki/bin/view/Main/MikeMannix HTTP/1.1 GET /twiki/bin/view/TWiki/WikiCulture HTTP/1.1 GET /twiki/bin/view/TWiki/WikiCulture HTTP/1.1 [10] row(s) selected. -- 'robots.txt'가 포함된 데이터 건수를 구한다. Mach> SELECT COUNT(*) FROM SAMPLE_TABLE WHERE EVENTLOG SEARCH 'robots.txt'; COUNT(*) ----------------------- 40283 [1] row(s) selected. -- 'robots.txt'가 포함된 데이터를 SRCIP 별로 집계해서 상위 10개만 출력한다. Mach> SELECT SRCIP, COUNT(*) FROM SAMPLE_TABLE WHERE EVENTLOG SEARCH 'robots.txt' GROUP BY SRCIP ORDER BY 2 DESC LIMIT 10; SRCIP COUNT(*) ---------------------------------------- 81.227.25.139 616 162.80.44.96 596 7.234.88.67 595 227.106.13.91 578 220.192.100.45 570 46.201.48.18 570 231.146.69.51 564 185.22.195.164 564 64.58.31.79 561 50.5.206.126 561 [10] row(s) selected.
시계열 데이터 조회
마크베이스는 시계열 데이터를 조회하는데 편리한 구문을 제공하고 있다. DURATION을 이용하여 빠른 데이터를 조회하는 방법을 알아본다.
-- _arrival_time 컬럼에 입력된 최대,최소값을 확인한다. Mach> SELECT MIN(_ARRIVAL_TIME), MAX(_ARRIVAL_TIME) FROM SAMPLE_TABLE; MIN(_ARRIVAL_TIME) MAX(_ARRIVAL_TIME) ------------------------------------------------------------------- 2015-05-20 06:00:00 000:000:000 2015-05-20 06:40:10 000:000:000 [1] row(s) selected. -- DATE_TRUNC() 함수를 이용하여 분당 건수를 구한다. Mach> SELECT DATE_TRUNC('minute', _ARRIVAL_TIME) as TIME, COUNT(*) as COUNT FROM SAMPLE_TABLE GROUP BY TIME ORDER BY TIME; TIME COUNT -------------------------------------------------------- 2015-05-20 06:00:00 000:000:000 32001 2015-05-20 06:01:00 000:000:000 28000 2015-05-20 06:02:00 000:000:000 24000 2015-05-20 06:03:00 000:000:000 32000 2015-05-20 06:04:00 000:000:000 16000 2015-05-20 06:05:00 000:000:000 16000 2015-05-20 06:06:00 000:000:000 32000 2015-05-20 06:07:00 000:000:000 32000 2015-05-20 06:08:00 000:000:000 20000 2015-05-20 06:09:00 000:000:000 24000 2015-05-20 06:10:00 000:000:000 20000 2015-05-20 06:11:00 000:000:000 20000 2015-05-20 06:12:00 000:000:000 24000 2015-05-20 06:13:00 000:000:000 20000 2015-05-20 06:14:00 000:000:000 32000 2015-05-20 06:15:00 000:000:000 24000 2015-05-20 06:16:00 000:000:000 32000 2015-05-20 06:17:00 000:000:000 28000 2015-05-20 06:18:00 000:000:000 32000 2015-05-20 06:19:00 000:000:000 12000 2015-05-20 06:20:00 000:000:000 24000 2015-05-20 06:21:00 000:000:000 28000 2015-05-20 06:22:00 000:000:000 28000 2015-05-20 06:23:00 000:000:000 24000 2015-05-20 06:24:00 000:000:000 28000 2015-05-20 06:25:00 000:000:000 28000 2015-05-20 06:26:00 000:000:000 32000 2015-05-20 06:27:00 000:000:000 20000 2015-05-20 06:28:00 000:000:000 20000 2015-05-20 06:29:00 000:000:000 20000 2015-05-20 06:30:00 000:000:000 28000 2015-05-20 06:31:00 000:000:000 32000 2015-05-20 06:32:00 000:000:000 32000 2015-05-20 06:33:00 000:000:000 28000 2015-05-20 06:34:00 000:000:000 20000 2015-05-20 06:35:00 000:000:000 24000 2015-05-20 06:36:00 000:000:000 24000 2015-05-20 06:37:00 000:000:000 16000 2015-05-20 06:38:00 000:000:000 24000 2015-05-20 06:39:00 000:000:000 16000 2015-05-20 06:40:00 000:000:000 3999 [41] row(s) selected. -- DURATION 구문을 이용하여 특정시각 기준 1분 이전 시간 범위를 지정하여 조회한다. Mach> SELECT MIN(_ARRIVAL_TIME), MAX(_ARRIVAL_TIME), COUNT(*) as COUNT FROM SAMPLE_TABLE DURATION 1 MINUTE BEFORE TO_DATE('2015-05-20 06:30:00'); MIN(_ARRIVAL_TIME) MAX(_ARRIVAL_TIME) COUNT ----------------------------------------------------------------------------------------- 2015-05-20 06:29:05 000:000:000 2015-05-20 06:29:45 000:000:000 20000 [1] row(s) selected. -- DURATION 구문을 이용하여 특정시각 기준 1분 이후 시간 범위를 지정하여 조회한다. Mach> SELECT MIN(_ARRIVAL_TIME), MAX(_ARRIVAL_TIME), COUNT(*) as COUNT FROM SAMPLE_TABLE DURATION 1 MINUTE AFTER TO_DATE('2015-05-20 06:30:00'); MIN(_ARRIVAL_TIME) MAX(_ARRIVAL_TIME) COUNT ----------------------------------------------------------------------------------------- 2015-05-20 06:30:04 000:000:000 2015-05-20 06:30:57 000:000:000 28000 [1] row(s) selected. -- DURATION 구문을 이용하여 FROM ~ TO 시간 범위를 지정하여 조회한다. Mach> SELECT MIN(_ARRIVAL_TIME), MAX(_ARRIVAL_TIME), COUNT(*) as COUNT FROM SAMPLE_TABLE DURATION FROM TO_DATE('2015-05-20 06:20:00') TO TO_DATE('2015-05-20 06:30:00'); MIN(_ARRIVAL_TIME) MAX(_ARRIVAL_TIME) COUNT ----------------------------------------------------------------------------------------- 2015-05-20 06:20:03 000:000:000 2015-05-20 06:29:45 000:000:000 252000 [1] row(s) selected.
인터넷 주소형 데이터 조회
마크베이스는 인터넷 주소에 대해서 데이터 타입으로 제공하고 편리하게 검색할 수 있다.
-- Netmask 형식으로 IP 대역을 설정하여 조회한다. Mach> SELECT COUNT(*) FROM SAMPLE_TABLE WHERE SRCIP CONTAINED '100.195.159.0/24'; COUNT(*) ----------------------- 13097 [1] row(s) selected. -- '*' 를 이용하여 Equal(=) 검색도 가능하다. Mach> SELECT COUNT(*) FROM SAMPLE_TABLE WHERE SRCIP = '100.195.159.*'; COUNT(*) ----------------------- 13097 [1] row(s) selected.