When Hibernate loads an object into a Session it creates a state snapshot of the current database state of the object, so that it can perform dirty checking against the snapshot.
As a read only object will never be modified, this snapshot is not needed and memory can be saved.
I think the ~/.mozilla/firefox/XXX.default-YYY/storage/default/https+++ZZZ.com/cache/https+++domain.com/ style dirs are the storage for what's called "service workers" which is persistent code related to each website that sends notifiications even if no related tab is open.
Suppose you have a favorite website that sells something, you might register with them that you're interested in a particular kind of product. A serviceworker for that site would be in the "ZZZ" folder named after that site, the code in there would run even if you don't have a tab open for that site. It's done so you can get a notification. In other cases it's some other code that the web designers don't want to have to reload each time you visit, caching it in your storage folder saves time and network.
You can see all your service workers in the Firefox menu: Help -> More troubleshooting information -> about:serviceworkers ( or load about:serviceworkers )
If you plan to store UUID values in a Primary Key column, then you are better off using a TSID (time-sorted unique identifier).
One such implementation is offered by the Hypersistence TSID OSS library, which provides a 64-bit TSID that’s made of two parts:
a 42-bit time component
a 22-bit random component
The random component has two parts:
a node identifier (0 to 20 bits)
a counter (2 to 22 bits)
The node identifier can be provided by the tsid.node system property when bootstrapping the application:
-Dtsid.node="12"
load-module module-echo-cancel aec_args="analog_gain_control=0 digital_gain_control=0"
+
in the file:
/etc/pulse/daemon.conf
or
~/.config/pulse/daemon.conf
Uncomment the line, and set to no:
flat-volumes = no
load-module module-echo-cancel source_name=logitechsource
and then at the bottom of the file add
set-default-source logitechsource
In this case I named the source logitechsource, but you can name it whatever you want and simply either restart pulseaudio.
Caused by: java.lang.NullPointerException
at java.util.Hashtable$Entry.setValue (Hashtable.java:1286)
at org.apache.maven.model.interpolation.StringVisitorModelInterpolator$ModelVisitor.visit (StringVisitorModelInterpolator.java:1429)
Seems to be resolved in 3.8.4. I'm now seeing a proper error message:
Resolving expression: '${project.version}': Detected the following recursive expression cycle in 'project.version': [version, revision] @ org.example:foo:${revision}, /experiment/pom.xml -> [Help 2]
‘-XX:MinRAMPercentage’ JVM argument will be used to compute Java heap size only if your overall available memory’s size in the physical server (or in the container) is less than 250MB
The following table shows the values that are used when -XX:+UseContainerSupport is set:
Less than 1 GB 50% <size>
1 GB - 2 GB <size> - 512 MB
Greater than 2 GB 75% <size>
The default heap size is capped at 25 GB
The default heap size for containers takes affect only when the following conditions are met:
The application is running in a container environment.
The memory limit for the container is set.
The -XX:+UseContainerSupport option is set, which is the default behavior.
We observed that generally the embedding representation is very rich and information dense. For example, reducing the dimensionality of the inputs using SVD or PCA, even by 10%, generally results in worse downstream performance on specific tasks.
moving:
to the end of the command: ctrl-e
to the begin of the command: ctrl-a
forward a word: alt-f
backword a word: alt-b
deleting:
from current cursor position to the end of word: ald-d
from current cursor position to the begin of word: clt-w
If you upgrade your spring-boot version to >= 2.3.0 you can enable the liveness and readiness probes by adding:
management:
health:
probes:
enabled: true
You need to manually import the ServerHttpSecurity invoke.
import org.springframework.security.config.web.server.invoke
/
import org.springframework.security.config.annotation.web.invoke
A Dockerfile that performs a Jib-like build is shown below:
# Jib uses Adoptium Eclipse Temurin (formerly AdoptOpenJDK).
FROM eclipse-temurin:11-jre
# Multiple copy statements are used to break the app into layers,
# allowing for faster rebuilds after small changes
COPY dependencyJars /app/libs
COPY snapshotDependencyJars /app/libs
COPY projectDependencyJars /app/libs
COPY resources /app/resources
COPY classFiles /app/classes
# Jib's extra directory ("src/main/jib" by default) is used to add extra, non-classpath files
COPY src/main/jib /
# Jib's default entrypoint when container.entrypoint is not set
ENTRYPOINT ["java", jib.container.jvmFlags, "-cp", "/app/resources:/app/classes:/app/libs/*", jib.container.mainClass]
CMD [jib.container.args]
v1.6.0 has been released with this feature; prefix your source image configuration with docker:// to use a base image stored in the Docker daemon.
Gradle: jib.from.image = 'docker://docker-image'
Maven: <from><image>docker://docker-image</image></from>
Avoid Pinning to latest
You shouldn’t consume the latest tag of an image whenever a more specific alternative is available. ...
If the author doesn’t maintain latest, you could end up with a heavily outdated image ... Several container ecosystem projects now warn against using latest for this reason.
You want to be using argon2id.
A KDF is a function that takes some input (in this case the user's password) and generates a key.
Good KDFs reduce this risk by being what's technically referred to as "expensive". Rather than performing one simple calculation to turn a password into a key, they perform a lot of calculations.
However, there's another axis of expense that can be considered - memory. If the KDF algorithm requires a significant amount of RAM, the degree to which it can be performed in parallel on a GPU is massively reduced.
/store/book/author $.store.book[*].author the authors of all books in the store
//author $..author all authors
/store/* $.store.* all things in store, which are some books and a red bicycle.
/store//price $.store..price the price of everything in the store.
//book[3] $..book[2] the third book
//book[last()] $..book[(@.length-1)]
$..book[-1:] the last book in order.
//book[position()<3] $..book[0,1]
$..book[:2] the first two books
//book[isbn] $..book[?(@.isbn)] filter all books with isbn number
//book[price<10] $..book[?(@.price<10)] filter all books cheapier than 10
//* $..* all Elements in XML document. All members of JSON structure.
The purgeServerSideCache method is deprecated and calling it has no effect - you'll get a console warning about that. This method is now replaced with refreshServerSideStore
- "Write tests. Not too many. Mostly integration."
- Integration tests strike a great balance on the trade-offs between confidence and speed/expense. This is why it's advisable to spend most (not all, mind you) of your effort there.
- biggest thing you can do to write more integration tests is to stop mocking so much stuff
- When you mock something you're removing all confidence in the integration between what you're testing and what's being mocked.
Hi all, I managed to do what you want but only in hacky way:
val initStarted = new AtomicBoolean(false)
val initCompleteLatch = new CountDownLatch(1)
scenario("myScenario")
.doIf(_ => initStarted.getAndSet(true) == false) {
exec(http("first")
.get("/endpoint")
.check(status.is(200),
jsonPath("$..response.id").findAll.saveAs("reponseVariable")
)
).exec { session =>
reponseVariable = session("reponseVariable").as[String]
initCompleteLatch.countDown()
session
}
}
.exec { session =>
initCompleteLatch.await()
session.set("reponseVariable", reponseVariable)
}
.exec(http("second")
.post("/another/endpoint/{responseVariable}")
.body(...)
.check(status.is(200))
)
Hope it helps :) It can chain serveral requests, passthrough response along, and ensures first request is send only once.
The interactive rebase command was originally designed to handle individual patch series. As such, it makes sense to exclude merge commits from the todo list, as the developer may have merged the then-current master while working on the branch, only to rebase all the commits onto master eventually (skipping the merge commits).
Start Time is the time from start of 1st request until the start of this request.
End Time is the time from start of 1st request until the end of this response.
Latency is the time from end of this request until the beginning of download of this response.
Response Time is the time from start of 1st request until the beginning of download of this response.
Duration is the time from start of this request until the end of this response.
It is not a JDBC driver error but a configuration needed for Oracle database instance running inside a Docker container.
You need to change $ORACLE_HOME/network/admin/sqlnet.ora append DISABLE_OOB=ON at end of file
"exiftool -if '$jpgfromraw' -b -jpgfromraw -w %d%f_%ue.jpg -execute -if '$previewimage' -b -previewimage -w %d%f_%ue.jpg -execute -tagsfromfile @ -srcfile %d%f_%ue.jpg -overwrite_original -common_args --ext jpg DIR
[Advanced] Extract JpgFromRaw or PreviewImage from all but JPG files in DIR, saving them with file names like image_EXT.jpg, then add all meta information from the original files to the extracted images. Here, the command line is broken into three sections (separated by -execute options), and each is executed as if it were a separate command. The -common_args option causes the --ext jpg DIR arguments to be applied to all three commands, and the -srcfile option allows the extracted JPG image to be the source file for the third command (whereas the RAW files are the source files for the other two commands).'
So to map your files with user id 1001 in /mnt/wrong to /mnt/correct with user id 1234, run this command:
sudo bindfs --map=1001/1234 /mnt/wrong /mnt/correct
E. Pinheiro, W. Weber, and L. Barroso. Proceedings of the 5th USENIX Conference on File and Storage Technologies, page 2--2. Berkeley, CA, USA, USENIX Association, (2007)
T. Reps, S. Horwitz, and M. Sagiv. Proceedings of the 22Nd ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, page 49--61. New York, NY, USA, ACM, (1995)