title: "x/vuln: issue title"
labels: ["vulncheck or vulndb"]
body:
  - type: markdown
    attributes:
      value: "Please answer these questions before submitting your issue. Thanks! To add a new vulnerability to the Go vulnerability database (https://vuln.go.dev), see https://go.dev/s/vulndb-report-new. To report an issue about a report, see https://go.dev/s/vulndb-report-feedback."
  - type: textarea
    id: govulncheck-version
    attributes:

    #  Elements of this map are as below:
    #   o url: The URL for connecting database. (NotRequired - Default same as databaseInfoMap)
    #   o schema: The schema name. (NotRequired - Default '' e.g. no setting when MySQL)
    #   o user: The database user name. (Required)
    #   o password: The database password. (NotRequired - Default '')
    #
    #; schemaSyncCheckMap = map:{
    #    ; url = jdbc:...

* SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, NamedArg, Search/Update/Create with SQL Expr
* Composite Primary Key
* Auto Migrations
* Logger
* Extendable, flexible plugin API: Database Resolver (Multiple Databases, Read/Write Splitting) / Prometheus…
* Every feature comes with tests
* Developer Friendly

## Getting Started

* GORM Guides [https://gorm.io](https://gorm.io)

package clause

import (
	"database/sql"
	"database/sql/driver"
	"go/ast"
	"reflect"
)

// Expression expression interface
type Expression interface {
	Build(builder Builder)
}

// NegationExpressionBuilder negation expression builder
type NegationExpressionBuilder interface {
	NegationBuild(builder Builder)
}

// Expr raw expression
type Expr struct {
	SQL                string
	Vars               []interface{}

package gorm

import (
	"database/sql"
	"database/sql/driver"
	"reflect"
	"time"

	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils"
)

// prepareValues prepare values slice
func prepareValues(values []interface{}, db *DB, columnTypes []*sql.ColumnType, columns []string) {
	if db.Statement.Schema != nil {
		for idx, name := range columns {
			if field := db.Statement.Schema.LookUpField(name); field != nil {

@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
        ),
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

package migrator

import (
	"database/sql"
)

// TableType table type implements TableType interface
type TableType struct {
	SchemaValue  string
	NameValue    string
	TypeValue    string
	CommentValue sql.NullString
}

// Schema returns the schema of the table.
func (ct TableType) Schema() string {
	return ct.SchemaValue
}

// Name returns the name of the table.
func (ct TableType) Name() string {

from sqlalchemy import Boolean, Column, ForeignKey, Integer, String
from sqlalchemy.orm import relationship

from .database import Base


class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    email = Column(String, unique=True, index=True)
    hashed_password = Column(String)
    is_active = Column(Boolean, default=True)

    items = relationship("Item", back_populates="owner")

from fastapi import Depends, FastAPI, HTTPException
from sqlalchemy.orm import Session

from . import crud, models, schemas
from .database import SessionLocal, engine

models.Base.metadata.create_all(bind=engine)

app = FastAPI()


# Dependency
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()


@app.post("/users/", response_model=schemas.User)

> In a cloud-native environment, scalability is not a function of the application but the orchestration platform.

In a typical modern infrastructure deployment, application, database, key-store, etc. already live in containers and are managed by orchestration platforms. MinIO brings robust, scalable, AWS S3 compatible object storage to the lot.