Lesezeichen (verstecken)1880
- SELECT version();
- sysctl -p --system
- Die Energy-Charts bieten interaktive Grafiken zu: Stromproduktion, Stromerzeugung, Emissionen, Klimadaten, Spotmarktpreisen, Szenarien zur Energiewende und eine umfangreiche Kartenanwendung zu: Kraftwerken, Übertragungsleitungen und Meteodaten
- Willkommen! Wir möchten mit dieser Webseite einen Beitrag zur Transparenz und Versachlichung der Diskussion um die Energiewende leisten. Die Rohdaten werden von Wissenschaftlern des Fraunhofer-Institut für Solare Energiesysteme ISE aus zahlreichen Quellen stündlich oder täglich abgerufen und für die Darstellung aufbereitet.
- Basically there are 4 steps: Rename old table Create new table with partitioning Add constraint on old table for it's proposed partition ranges Attach old table as a partition to new partition table Sounds easy right? What about indexes? What about Triggers? And guess what, there are other traps to watch out for!
- -- Add the check constraint alter table public.test_partition_10_25 add constraint test_partition_10_25_constraint CHECK (id >= 10 AND id <25) NOT VALID; update pg_constraint pgc SET convalidated = true FROM pg_class c WHERE c.oid = pgc.conrelid AND connamespace = 'public'::regnamespace::oid AND c.relname = 'test_partition_10_25' AND conname = 'test_partition_10_25_constraint';
- Helfen Sie uns unsere Radwege besser und sicherer zu machen. Ihre Stadt oder Gemeinde freut sich über Ihre Hilfe. Und natürlich auch alle Radfahrer.
- set mbox_type=Maildir set folder=~/mail set spoolfile=+/ set header_cache=~/.cache/mutt
- SET vars.schema TO :'schema'; ... DECLARE my_schema TEXT := current_setting('vars.schema'); BEGIN RAISE NOTICE 'schema_name=%', my_schema;
- @misc{zhang2024autocoderover, title={AutoCodeRover: Autonomous Program Improvement}, author={Yuntong Zhang and Haifeng Ruan and Zhiyu Fan and Abhik Roychoudhury}, year={2024}, eprint={2404.05427}, archivePrefix={arXiv}, primaryClass={cs.SE} }
- <button class='btn' hx-get="/contacts/?page=2" hx-target="#replaceMe" hx-swap="outerHTML">
- offlineimap -u Curses.Blinkenlights
- A SequenceInputStream represents the logical concatenation of other input streams. It starts out with an ordered collection of input streams and reads from the first one until end of file is reached, whereupon it reads from the second one, and so on, until end of file is reached on the last of the contained input streams.
- pgloader will keep a separate file of rejected data, but continue trying to copy good data in your database. pgloader also implements data reformatting, a typical example of that being the transformation of MySQL datestamps 0000-00-00 and 0000-00-00 00:00:00 to PostgreSQL NULL value
- Inzwischen ist es 31 Monate alt und scheint kaum etwas an Energie verloren zu haben
- A very common workflow is to index some data based on its embeddings and then given a new query embedding retrieve the most similar examples with k-Nearest Neighbor search. For example, you can imagine embedding a large collection of papers by their abstracts and then given a new paper of interest retrieve the most similar papers to it. TLDR in my experience it ~always works better to use an SVM instead of kNN, if you can afford the slight computational hit
- ["slug" being an entity attribute] Spring Data offers an existsBy query method, which we can define in the PostRepository, as follows: 1 2 3 4 5 6 @Repository public interface PostRepository extends JpaRepository<Post, Long> { boolean existsBySlug(String slug); } [another] option to emulate existence is using a CASE WHEN EXISTS native SQL query: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 @Repository public interface PostRepository extends JpaRepository<Post, Long> { @Query(value = """ SELECT CASE WHEN EXISTS ( SELECT 1 FROM post WHERE slug = :slug ) THEN 'true' ELSE 'false' END """, nativeQuery = true ) boolean existsBySlugWithCase(@Param("slug") String slug); }
- @Repository public interface PostRepository extends BaseJpaRepository<Post, Long> { @Query(""" select p from Post p where date(p.createdOn) >= :sinceDate """ ) @QueryHints( @QueryHint(name = AvailableHints.HINT_FETCH_SIZE, value = "25") ) Stream<Post> streamByCreatedOnSince(@Param("sinceDate") LocalDate sinceDate); } The FETCH_SIZE JPA query hint is necessary for PostgreSQL and MySQL to instruct the JDBC Driver to prefetch at most 25 records. Otherwise, the PostgreSQL and MySQL JDBC Drivers would prefetch all the query results prior to traversing the underlying ResultSet.
- 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 )
- systemd.unit=rescue.target
- We've trained a new model, Phind-CodeLlama-34B-v2, that achieves 73.8% pass@1 on HumanEval.
- 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"
- Leak #1: Overall Business Data Size Leak #2: Overall Business Data Velocity
- open Settings -> Build, Execution, Deployment -> Scala Compiler -> Scala Compile Server, then change the JDK to the one your project used.
- 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.
- kind: Deployment spec: template: metadata: annotations: checksum/config: {{ include (print $.Template.BasePath "/configmap.yaml") . | sha256sum }}
- Caused by: java.lang.NullPointerException at java.util.Hashtable$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.
- Add helm chart helm repo add stakater https://stakater.github.io/stakater-charts Deploy reloader helm install reloader stakater/reloader # To watch CM/secrets in all namespaceshelm install reloader stakater/reloader --set reloader.watchGlobally=false --namespace NAMESPACENAME # To watch CM/Secrets in one namespace Create deployment apiVersion: apps/v1 kind: Deployment metadata: name: nginx-deployment labels: app: nginx annotations: configmap.reloader.stakater.com/reload: "test-configmap" secret.reloader.stakater.com/reload: "test-secret" ...
- 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
- Search across a half million git repos. Search by regular expression.
- git commit -m "Some comments" --no-verify
- 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]
- To build to a Docker daemon, use: mvn compile com.google.cloud.tools:jib-maven-plugin:3.3.2:dockerBuild
- dockerfile-maven-plugin doesn't support Apple M1 and the project itself is end-of-life.
- for i in $(seq 1 9); do gsettings set org.gnome.shell.keybindings switch-to-application-${i} '[]'; done
- 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>
- If you have Mutt 1.5 or higher, run extract-keys (Bound to CtrlK per default
- <plugin> <artifactId>maven-resources-plugin</artifactId> <version>3.0.2</version> <executions> <execution> <id>copy-resource-one</id> <phase>generate-sources</phase> <goals> <goal>copy-resources</goal> </goals> <configuration> <outputDirectory>${basedir}/target/destination-folder</outputDirectory> <resources> <resource> <directory>source-files</directory> <includes> <include>foo.txt</include> </includes> </resource> </resources> </configuration> </execution> </executions> </plugin>
- 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.
- RUN apk add --no-cache msttcorefonts-installer fontconfig RUN update-ms-fonts
- public static void main(String[] args) { String[] names = GraphicsEnvironment.getLocalGraphicsEnvironment().getAvailableFontFamilyNames(); System.out.println("Found " + names.length + " fonts:"); for (String name : names) { System.out.println(name); } }
- sudo apt install pinentry-tty sudo update-alternatives --config pinentry
- kind: Pod
- select * from foo where col not in (1,null); -- always returns 0 rows
- 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.
- new ObjectMapper() .configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
- In React 17, React automatically modifies the console methods like console.log() to silence the logs in the second call to lifecycle functions
- /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 //* $..* all Elements in XML document. All members of JSON structure.
- hurz.locations[?state == 'WA'] | length(@)
- type Digit = MinutePrefix |'6'|'7'|'8'|'9'; type Time = `${HourPrefix | ''}${Digit}:${MinutePrefix}${Digit}`
- 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
- await new Promise((r) => setTimeout(r, 2000)); expect(foo).toBeDefined();
- fetch.mockResponseOnce('{ "id": 1 }', { status: 200, headers: { 'content-type': 'application/json' } });
Publikationen (verstecken)356
- (2002)
- Datenbank-Spektrum, (2004)
- (2006)
- (2006)
- (2005)
- (1999)
- University of California, Irvine, (2000)
- (?)
- ACM Trans. Internet Techn., 2 (2): 115-150 (2002)
- O'Reilly, german Edition, (2002)
- ICSE, Seite 428-437. (2004)
- IEEE Internet Computing, 7 (6): 59-66 (2003)
- Decision Support Systems, 40 (1): 9-29 (2005)
- Pattern Recognition Letters, 13 (7): 471-480 (1992)
- Butterworths, London, (1979)
- CSCW, Seite 175-186. (1994)
