{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[25:30]  hl[25:27,30] *}

### Die Datenbanktabellen beim Start erstellen { #create-database-tables-on-startup }

Wir werden die Datenbanktabellen erstellen, wenn die Anwendung startet.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Hier erstellen wir die Tabellen bei einem Anwendungsstart-Event.

    InputSerialization={
        'CSV': {
            "FileHeaderInfo": "USE",
        },
        'CompressionType': 'GZIP',
    },
    OutputSerialization={'CSV': {}},
)

for event in r['Payload']:
    if 'Records' in event:
        records = event['Records']['Payload'].decode('utf-8')
        print(records)
    elif 'Stats' in event:

    key = new Object();
    cache.refresh(key);
    checkNothingLogged();
    stats = cache.stats();
    assertThat(stats.missCount()).isEqualTo(2);
    assertThat(stats.loadSuccessCount()).isEqualTo(3);
    assertThat(stats.loadExceptionCount()).isEqualTo(0);
    assertThat(stats.hitCount()).isEqualTo(0);

    assertThat(cache.get(key)).isSameInstanceAs(key);
    stats = cache.stats();

This document explains how to setup Prometheus and configure it to scrape data from MinIO servers.

## Prerequisites

To get started with MinIO, refer [MinIO QuickStart Document](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html).
Follow below steps to get started with MinIO monitoring using Prometheus.

### 1. Download Prometheus

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

def create_db_and_tables():
    SQLModel.metadata.create_all(engine)


def get_session():
    with Session(engine) as session:
        yield session


app = FastAPI()


@app.on_event("startup")
def on_startup():
    create_db_and_tables()


@app.post("/heroes/", response_model=HeroPublic)
def create_hero(hero: HeroCreate, session: Session = Depends(get_session)):
    db_hero = Hero.model_validate(hero)

		"Total number of bucket scans finished since server start")
	scannerBucketScansStartedMD = NewCounterMD(scannerBucketScansStarted,
		"Total number of bucket scans started since server start")
	scannerDirectoriesScannedMD = NewCounterMD(scannerDirectoriesScanned,
		"Total number of directories scanned since server start")
	scannerObjectsScannedMD = NewCounterMD(scannerObjectsScanned,

	var newPools []PoolStatus
	for _, pool := range p.Pools {
		if pool.Decommission == nil {
			continue
		}
		if pool.Decommission.Complete || pool.Decommission.Canceled {
			// Do not resume decommission upon startup for
			// - decommission complete
			// - decommission canceled
			continue
		} // In all other situations we need to resume
		newPools = append(newPools, pool)
	}
	return newPools
}

 * limitations under the License.
 */

package gradlebuild.cleanup.services

import spock.lang.Specification

class LeakingProcessKillPatternTest extends Specification {

    def "matches worker process started in test on Windows"() {

Das steht im Gegensatz zu den **Entwicklungsphasen**, in denen Sie ständig den Code ändern, kaputt machen, reparieren, den Entwicklungsserver stoppen und neu starten, usw.

## Deployment-Strategien { #deployment-strategies }

Es gibt mehrere Möglichkeiten, dies zu tun, abhängig von Ihrem spezifischen Anwendungsfall und den von Ihnen verwendeten Tools.