Jmeter Download Curl
Bok Miklas
I followed your advice and I do the benchmark just only with Elasticsearch, its Bulk and Node Stats API. One question, how many documents I can send at most?
I am using, e.g.,
curl -s -XPOST localhost:9200/_bulk?pretty=true --data-binary @data_1.json
However, mostly I can send about 50.000 documents. Do you know why I do not receive any respond after sending like 100.000 documents?
The issue here was with white listing. The EC2 instance had not been white listed to hit the end point in question. Lesson learned when experiencing these types of issues is to run a simple curl command to ensure the end point can actually be hit.
I just continued where it left on on assignee with the rest of the parameters listed in the create task article and it works! Whew, I was confused because I do not use the curl library and was trying to reverse-engineer it to find out what data I needed to supply and how.
srikanth, the blog post points to a user.properties file. That file is used to specify the format of the results.csv. Specifically, the line that formats the time stamp like Elasticsearch expects is:
jmeter.save.saveservice.timestamp_format=yyyy-MM-dd'T'HH:mm:ss.SSSZ
You can either POST the mapping template to your Elasticsearch cluster using curl or Sense or you can place it on your file system and configure logstash to load it for you. For example, you can name your template jmeter-results-mapping.json, then add these lines to your elasticsearch output config:
The modified jmeter-junit-xml-converter utility will produce a junit.xml and an alternate_junit.xml file; we want the latter as it better suits our needs. We'll call it using the converter.sh shell script along with a parameter that will allow us to uniquely identify the Tests afterwards (e.g. "jmeter.jpetstore").
Scala is a programming language for general software applications. Scala has full support for functional programming and a very strong static type system. This allows programs written in Scala to be very concise and thus smaller in size than other general-purpose programming languages. Scala source code is intended to be compiled to Java bytecode, so that the resulting executable code runs on a Java virtual machine. Java libraries may be used directly in Scala code and vice versa. Scala is object-oriented, and uses a curly-brace syntax. Scala has many features of functional programming languages, including currying, type inference, immutability, lazy evaluation, and pattern matching. It also has an advanced type system supporting algebraic data types, covariance and contravariance, higher-order types, and anonymous types. Other features of Scala include operator overloading, optional parameters, named parameters, raw strings, and no checked exceptions.
Here in this example, we are using curl to load a simple XML document with a URI having a special character (ム). Scenario is similar as mentioned in above. This time we are using curl to load document into MarkLogic.
This is not a URI. As mentioned previously, curly braces are unsafe characters, and are not valid in URIs (see RFC 3986). For the purposes of API documentation, and other similar uses, they should not be percent encoded, however, because they still aren't URIs - they don't identify a resource. When the embedded parameter expression is expanded, in this case by replacing it with a semicolon delimited list of ids, they do identify a resource. As such, it's a valid URI.
The Apollo Login creates a JSESSIONID cookie and rememberMe cookie (if applicable) and these can be used indownstream API requests (for example, by setting -b cookies.txt in curl will preserve the cookie in the request).
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