Insert using Query Builder
You can create INSERT
queries using QueryBuilder
.
Examples:
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values([
{ firstName: "Timber", lastName: "Saw" },
{ firstName: "Phantom", lastName: "Lancer" },
])
.execute()
This is the most efficient way in terms of performance to insert rows into your database. You can also perform bulk insertions this way.
Raw SQL support​
In some cases when you need to execute SQL queries you need to use function style value:
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values({
firstName: "Timber",
lastName: () => "CONCAT('S', 'A', 'W')",
})
.execute()
This syntax doesn't escape your values, you need to handle escape on your own.
Update values ON CONFLICT​
If the values you are trying to insert conflict due to existing data the orUpdate
function can be used to update specific values on the conflicted target.
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values({
firstName: "Timber",
lastName: "Saw",
externalId: "abc123",
})
.orUpdate(
["firstName", "lastName"],
["externalId"],
)
.execute()
Update values ON CONFLICT with condition (Postgres, Oracle, MSSQL, SAP HANA)​
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values({
firstName: "Timber",
lastName: "Saw",
externalId: "abc123",
})
.orUpdate(
["firstName", "lastName"],
["externalId"],
{
overwriteCondition: {
where: {
firstName: Equal("Phantom"),
}
},
}
)
.execute()
IGNORE error (MySQL) or DO NOTHING (Postgres, Oracle, MSSQL, SAP HANA) during insert​
If the values you are trying to insert conflict due to existing data or containing invalid data, the orIgnore
function can be used to suppress errors and insert only rows that contain valid data.
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values({
firstName: "Timber",
lastName: "Saw",
externalId: "abc123",
})
.orIgnore()
.execute()
Skip data update if values have not changed (Postgres, Oracle, MSSQL, SAP HANA)​
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values({
firstName: "Timber",
lastName: "Saw",
externalId: "abc123",
})
.orUpdate(
["firstName", "lastName"],
["externalId"],
{
skipUpdateIfNoValuesChanged: true,
}
)
.execute()
Use partial index (Postgres)​
await dataSource
.createQueryBuilder()
.insert()
.into(User)
.values({
firstName: "Timber",
lastName: "Saw",
externalId: "abc123",
})
.orUpdate(
["firstName", "lastName"],
["externalId"],
{
skipUpdateIfNoValuesChanged: true,
indexPredicate: "date > 2020-01-01"
}
)
.execute()