Aloha, Habr! He hope kēia noʻu , kahi aʻu e kamaʻilio ai e pili ana i nā koho no ka waiho ʻana i nā memo ma nā pila me ka hoʻohana ʻana iā JMeter.
Ke hana nei mākou i kahi pahi data no kahi hui federal nui. Nā palapala noi like ʻole, nā hoʻololi ʻana, nā alahele paʻakikī. No ka hoʻāʻo ʻana, pono ʻoe e hoʻouna i nā leka he nui i ka pila. ʻO ka lima ka ʻeha ʻaʻole hiki i kēlā me kēia chiropractor ke mālama.
Hōʻike
ʻOiai pono wau e hoʻomanawanui i kēia ʻeha i ka wā mua. Ua hoʻomaka me RFHUtil. ʻO ka ikaika, akā paʻakikī a weliweli: ʻAe, ʻike ʻoe iā Rus.
Pono i kekahi mau hihia, akā e emi mau ana i ka hihia o ka hoʻohana ikaika.
ʻAʻole hiki ke hoʻāʻo maʻalahi me ia.
Me JMeter ua maʻalahi nā mea a pau. Ma hope o ka pae mua o ka haku a me ka hoʻomaʻamaʻa ʻana, ua hoʻomaka ka manaʻolana no ka hoʻāʻo hauʻoli.
Hoʻohana ikaika au i ka JMS Publisher a me JMS Subscriber samplers. ʻAʻole like me JMS Point-to-Point, ʻoi aku ka maʻalahi o kēia hui e hoʻohana. No ka laʻana, me ka mea kākau inoa ma JMS Selector hiki iā ʻoe ke kuhikuhi i kahi loli, akā me Point-to-Point ʻaʻole hiki iā ʻoe (a ʻaʻole maopopo loa kēia ʻano).
Hoʻomākaukau i nā mea hoʻohālike
JMS Mea Pai
- Hoʻonohonoho - kēlā me kēia Laʻana. Apache e hoʻohana i kēia koho inā hōʻike ʻia nā queues/kumuhana ma o nā mea hoʻololi.
- Hoʻopau (ms) = 120000. Inā ʻaʻole i hāʻule, e nalowale nā noi hoʻāʻo mai ka pila ma hope o 2 mau minuke.
- E hoʻohana i ke ʻano hoʻouna hoʻomau ʻole? - ʻoiaʻiʻo. IBM ʻO kēlā ʻano hana hoʻomau e hōʻoia i ka mālama pono ʻana i nā memo i hoʻouna ʻia i ka wā o ka hiki ʻole. A ʻoi aku ka wikiwiki o ka hoʻololi ʻana i ke ʻano hoʻomau ʻole. No ka hoʻāʻo ʻana, ʻoi aku ka nui o ka wikiwiki.
Ma kēlā me kēia mea hoʻopuka hoʻonohonoho au i kahi waiwai jms e hoʻohana ai ka mea kākau inoa ma ka JMS Selector. No kēlā me kēia hoʻouna ʻana, hoʻokumu ʻia kahi waiwai maʻamau i loko o ka mea hoʻolālā hoʻāʻo ʻo User Parameters:
Ma kēia ala hiki iā ʻoe ke hōʻoiaʻiʻo ua heluhelu ʻia ka leka pololei.
ʻO ka "blank" hope loa o kahi mea hoʻopuka JMS i hoʻonohonoho mua ʻia:
JMS mea kakau
- Hoʻonohonoho - kēlā me kēia Laʻana. ʻAe, maopopo iā ʻoe.
- Manawa manawa (ms) = 100000. Inā ʻaʻole i hiki mai ka noi ma ka pila ma hope o 100 kekona o ke kali ʻana, a laila ua hewa kekahi mea.
- Kū i waena o nā laʻana? - ʻoiaʻiʻo.
JMS Selector - maʻalahi loa . Ka mea kākau inoa JMS hope loa:
Pehea e hana ai me ka huapalapala Cyrillic i nā memo i hoʻouna ʻia. I ka JMeter, ma ka maʻamau, ma hope o ka hoʻoponopono ʻana, hōʻike ʻia ke kekee. No ka pale ʻana i kēia a hauʻoli i ka mea nui a me ka mana mau a me nā wahi āpau, pono ʻoe:
- Hoʻohui i kahi hoʻopaʻapaʻa JVM i ka "hoʻolaha" JMeter:
-Dfile.encoding=UTF-8 - Hoʻohui i ka JSR223 PostProcessor i ka mea kākau inoa me ka laina groovy:
prev.setDataEncoding("UTF-8")
Hoʻouna kikokikona
ʻO ke koho palaualelo loa. He kūpono no ka hoʻopau ʻana i nā hoʻokolohua kākau hou. A i ʻole no nā hihia inā pono ʻoe e hoʻouna i kahi mea liʻiliʻi. Koho koho Puna memo - Textarea a kau i ke kino o ka memo ma kahi poloka kikokikona:
Hoʻopili ʻana i ka faila
ʻO ka koho maʻamau. Kūpono no ka hapa nui o nā hiʻohiʻona. Koho koho Puna memo - Mai ka waihona a kuhikuhi i ke ala i ka memo ma ke kahua Kōnae - inoa faila:
Ka hoʻoili ʻana i kahi faila i kahi kahua kikokikona
ʻO ka koho nui loa. He kūpono no ka hapa nui o nā hiʻohiʻona + hiki ke hoʻohana ʻia ma JMS Point-to-Point kahi ʻaʻohe koho hoʻouna lua:
Ke hāʻawi nei i kahi ʻano byte
ʻO ke koho paʻakikī loa. He kūpono no ka nānā ʻana i ka hoʻouna pololei ʻole ʻana o nā noi i lalo i ka byte, me ka ʻole o ka distortion, SMS a me ka perturbation. ʻAʻole hiki iā ʻoe ke hana i kēia ma ka JMeter paʻamau. Ua haʻi ʻia mai iaʻu e pili ana i kēia.
No laila pono wau e hoʻoiho a hoʻololi JMS mea kakau.
Ua pani ʻia ma ke ʻano extractContent(..) laina:
buffer.append(bytesMessage.getBodyLength() + " bytes received in BytesMessage");ma:
byte[] bytes = new byte[(int) bytesMessage.getBodyLength()];
bytesMessage.readBytes(bytes);
try {
buffer.append(new String(bytes, "UTF-8"));
} catch (UnsupportedEncodingException e) {
throw new RuntimeException(e);
}a kukulu hou ia JMeter.
ʻO nā mea a pau i koe e hoʻohui i ʻelua o JSR223 Samplers. ʻO ka mea mua ma mua o ka Publisher/Subscriber pair no ka hana ʻana i kahi faila DAT i loaʻa nā bytes random:
import org.apache.commons.lang3.RandomUtils;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
vars.put("PATH_TO_BYTES", "C:temprandomBytes.dat");
File RESULT_FILE = new File(vars.get("PATH_TO_BYTES"));
byte[] arr = RandomUtils.nextBytes((int)(Math.random()*10000));
try {
FileOutputStream fos = new FileOutputStream(RESULT_FILE);
fos.write(arr);
fos.close();
} catch (IOException e) {
System.out.println("file not found");
}ʻO ka lua - ma ka hope o ka palapala, holoi i ka faila:
import java.io.File;
File RESULT_FILE = new File(vars.get("PATH_TO_BYTES"));
RESULT_FILE.delete();A mai poina e hoʻohui i ke ala i ka faila ma Publisher:
A he nānā pū kekahi ma JSR223 Assertion for Subscriber - e hoʻohālikelike i nā bytes kumu me nā mea i hiki mai i ka laina o ka mea loaʻa:
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.Arrays;
Path path = Paths.get(vars.get("PATH_TO_BYTES"), new String[0]);
byte[] originalArray = Files.readAllBytes(path);
byte[] changedArray = ctx.getPreviousResult().getResponseData();
System.out.println(changedArray.length);
if (Arrays.equals(originalArray, changedArray))
{
SampleResult.setResponseMessage("OK");
} else {
SampleResult.setSuccessful(false);
SampleResult.setResponseMessage("Comparison failed");
SampleResult.setResponseData("Bytes have changed","UTF-8");
IsSuccess=false;
}hopena
Ua wehewehe au i ʻehā mau ala e hoʻouna ai i nā leka i nā queues, aʻu e hoʻohana ai i kēlā me kēia lā i ka hana. Manaʻo wau e maʻalahi kēia ʻike i kou ola. I ka hoʻomau ʻana, hoʻolālā wau e kamaʻilio e pili ana i koʻu ʻike no ka hoʻāʻo ʻana i kahi hoʻololi kahi i loaʻa kahi queue ma kekahi ʻaoʻao a me kahi waihona a i ʻole ʻōnaehana faila ma kekahi.
E mālama i kou manawa. A mahalo no kou noonoo.
Source: www.habr.com