Create, update, and delete records

We have create methods that returns a full record by default, and insert methods that by default will return only a count of inserted rows.

To perform custom actions before or after creating records, see beforeCreate, afterCreate, afterCreateCommit lifecycle hooks.

create* and insert* methods require columns that are not nullable and don't have a default.

Place select, or get before or after create or insert to specify returning columns:

// to return only `id`, use get('id')
const id: number = await db.table.get('id').create(data);

// same as above
const id2: number = await db.table.create(data).get('id');

// returns a single object when creating a single record
const objectWithId: { id: number } = await db.table.select('id').create(data);

// same as above
const objectWithId2: { id: number } = await db.table.create(data).select('id');

// returns an array of objects when creating multiple
const objects: { id: number }[] = await db.table
  .select('id')
  .createMany([one, two]);

// returns an array of objects as well for raw SQL values:
const objects2: { id: number }[] = await db.table.select('id').createRaw({
  columns: ['name', 'password'],
  values: sql`custom sql`,
});

create, insert

create and insert will create one record.

Each column may accept a specific value, a raw SQL, or a query that returns a single value.

import { sql } from './baseTable';

const oneRecord = await db.table.create({
  name: 'John',
  password: '1234',
});

// When using `.onConflictIgnore()`,
// the record may be not created and the `createdCount` will be 0.
const createdCount = await db.table.insert(data).onConflictIgnore();

await db.table.create({
  // raw SQL
  column1: () => sql`'John' || ' ' || 'Doe'`,

  // query that returns a single value
  // returning multiple values will result in Postgres error
  column2: db.otherTable.get('someColumn'),
});

create and insert can be used in with expressions:

db.$queryBuilder
  // create a record in one table
  .with('a', db.table.select('id').create(data))
  // create a record in other table using the first table record id
  .with('b', (q) =>
    db.otherTable.select('id').create({
      ...otherData,
      aId: () => q.from('a').get('id'),
    }),
  )
  .from('b');

createMany, insertMany

createMany and insertMany will create a batch of records.

Each column may be set with a specific value, a raw SQL, or a query, the same as in create.

In case one of the objects has fewer fields, the DEFAULT SQL keyword will be placed in its place in the VALUES statement.

const manyRecords = await db.table.createMany([
  { key: 'value', otherKey: 'other value' },
  { key: 'value' }, // default will be used for `otherKey`
]);

// `createdCount` will be 3.
const createdCount = await db.table.insertMany([data, data, data]);

Because of a limitation of Postgres protocol, queries having more than 65535 of values are going to fail in runtime. To solve this seamlessly, OrchidORM will automatically batch such queries, and wrap them into a transaction, unless they are already in a transaction.

// OK: executes 2 inserts wrapped into a transaction
await db.table.createMany(
  Array.from({ length: 65536 }, () => ({ text: 'text' })),
);

However, this only works in the case shown above. This won't work if you're using the createMany in with statement, or if the insert is used as a sub-query in other query part.

createRaw, insertRaw

createRaw and insertRaw are for creating one record with a raw SQL expression.

Provided SQL will be wrapped into parens for a single VALUES record.

If the table has a column with runtime defaults (defined with callbacks), the value will be appended to your SQL.

columns are type-checked to contain all required columns.

const oneRecord = await db.table.createRaw({
  columns: ['name', 'amount'],
  values: sql`'name', random()`,
});

createManyRaw, insertManyRaw

createManyRaw and insertManyRaw are for creating many record with raw SQL expressions.

Takes array of SQL expressions, each of them will be wrapped into parens for VALUES records.

If the table has a column with runtime defaults (defined with callbacks), function will be called for each SQL and the value will be appended.

columns are type-checked to contain all required columns.

const manyRecords = await db.table.createManyRaw({
  columns: ['name', 'amount'],
  values: [sql`'one', 2`, sql`'three', 4`],
});

createFrom, insertFrom

These methods are for creating a single record, for batch creating see createManyFrom.

createFrom is to perform the INSERT ... SELECT ... SQL statement, it does select and insert by performing a single query.

The first argument is a query for a single record, it should have find, take, or similar.

The second optional argument is a data which will be merged with columns returned from the select query.

The data for the second argument is the same as in create.

Columns with runtime defaults (defined with a callback) are supported here. The value for such a column will be injected unless selected from a related table or provided in a data object.

const oneRecord = await db.table.createFrom(
  // In the select, key is a related table column, value is a column to insert as
  RelatedTable.select({ relatedId: 'id' }).findBy({ key: 'value' }),
  // optional argument:
  {
    key: 'value',
  },
);

The query above will produce such SQL:

INSERT INTO "table"("relatedId", "key")
SELECT "relatedTable"."id" AS "relatedId", 'value'
FROM "relatedTable"
WHERE "relatedTable"."key" = 'value'
LIMIT 1
RETURNING *

createManyFrom, insertManyFrom

Similar to createFrom, but intended to create many records.

Unlike createFrom, it doesn't accept second argument with data, and runtime defaults cannot work with it.

const manyRecords = await db.table.createManyFrom(
  RelatedTable.select({ relatedId: 'id' }).where({ key: 'value' }),
);

orCreate

orCreate creates a record only if it was not found by conditions.

It will implicitly wrap queries in a transaction if it was not wrapped yet.

find or findBy must precede orCreate.

It is accepting the same argument as create commands.

By default, it is not returning columns, place get, select, or selectAll before orCreate to specify returning columns.

const user = await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .orCreate({
    email: 'some@email.com',
    name: 'created user',
  });

The data may be returned from a function, it won't be called if the record was found:

const user = await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .orCreate(() => ({
    email: 'some@email.com',
    name: 'created user',
  }));

onConflict

By default, violating unique constraint will cause the creative query to throw, you can define what to do on a conflict: to ignore it, or to merge the existing record with a new data.

A conflict occurs when a table has a primary key or a unique index on a column, or a composite primary key unique index on a set of columns, and a row being created has the same value as a row that already exists in the table in this column(s).

Use onConflictIgnore to suppress the error and continue without updating the record, or the merge to update the record with new values automatically, or the set to specify own values for the update.

onConflict only accepts column names that are defined in primaryKey or unique in the table definition. To specify a constraint, its name also must be explicitly set in primaryKey or unique in the table code.

Postgres has a limitation that a single INSERT query can have only a single ON CONFLICT clause that can target only a single unique constraint for updating the record.

If your table has multiple potential reasons for unique constraint violation, such as username and email columns in a user table, consider using upsert instead.

// leave `onConflict` without argument to ignore or merge on any conflict
db.table.create(data).onConflictIgnore();

// single column:
db.table.create(data).onConflict('email').merge();

// array of columns:
// (this requires a composite primary key or unique index, see below)
db.table.create(data).onConflict(['email', 'name']).merge();

// constraint name
db.table.create(data).onConflict({ constraint: 'unique_index_name' }).merge();

// raw SQL expression:
db.table
  .create(data)
  .onConflict(sql`(email) where condition`)
  .merge();

INFO

A primary key or a unique index for a single column can be fined on a column:

export class MyTable extends BaseTable {
  columns = this.setColumns((t) => ({
    pkey: t.uuid().primaryKey(),
    unique: t.string().unique(),
  }));
}

But for composite primary keys or indexes (having multiple columns), define it in a separate function:

export class MyTable extends BaseTable {
  columns = this.setColumns(
    (t) => ({
      one: t.integer(),
      two: t.string(),
      three: t.boolean(),
    }),
    (t) => [t.primaryKey(['one', 'two']), t.unique(['two', 'three'])],
  );
}

You can use the sql function exported from your BaseTable file in onConflict. It can be useful to specify a condition when you have a partial index:

db.table
  .create({
    email: 'ignore@example.com',
    name: 'John Doe',
    active: true,
  })
  // ignore only when having conflicting email and when active is true.
  .onConflict(sql`(email) where active`)
  .ignore();

If you define an inlined primary key on two columns instead, it won't be accepted by onConflict.

For merge and set, you can append where to update data only for the matching rows:

const timestamp = Date.now();

db.table
  .create(data)
  .onConflict('email')
  .set({
    name: 'John Doe',
    updatedAt: timestamp,
  })
  .where({ updatedAt: { lt: timestamp } });

onConflictIgnore

Use onConflictIgnore to suppress unique constraint violation error when creating a record.

Adds ON CONFLICT (columns) DO NOTHING clause to the insert statement, columns are optional.

Can also accept a constraint name.

db.table
  .create({
    email: 'ignore@example.com',
    name: 'John Doe',
  })
  // on any conflict:
  .onConflictIgnore()
  // or, for a specific column:
  .onConflictIgnore('email')
  // or, for a specific constraint:
  .onConflictIgnore({ constraint: 'unique_index_name' });

When there is a conflict, nothing can be returned from the database, so onConflictIgnore adds | undefined part to the response type.

const maybeRecord: RecordType | undefined = await db.table
  .create(data)
  .onConflictIgnore();

const maybeId: number | undefined = await db.table
  .get('id')
  .create(data)
  .onConflictIgnore();

When creating multiple records, only created records will be returned. If no records were created, array will be empty:

// array can be empty
const arr = await db.table.createMany([data, data, data]).onConflictIgnore();

onConflict merge

Available only after onConflict.

Use this method to merge all the data you have passed into create to update the existing record on conflict.

If the table has columns with dynamic default values, such values will be applied as well.

You can exclude certain columns from being merged by passing the except option.

// merge the full data
db.table.create(data).onConflict('email').merge();

// merge only a single column
db.table.create(data).onConflict('email').merge('name');

// merge multiple columns
db.table.create(data).onConflict('email').merge(['name', 'quantity']);

// merge all columns except some
db.table
  .create(data)
  .onConflict('email')
  .merge({ except: ['name', 'quantity'] });

// merge can be applied also for batch creates
db.table.createMany([data1, data2, data2]).onConflict('email').merge();

// update records only on certain conditions
db.table
  .create(data)
  .onConflict('email')
  .merge()
  .where({ ...certainConditions });

onConflict set

Available only after onConflict.

Updates the record with a given data when conflict occurs.

db.table.create(data).onConflict('column').set({
  description: 'setting different data on conflict',
});

The set can take a raw SQL expression:

db.table
  .create(data)
  .onConflict()
  .set(sql`raw SQL expression`);

// update records only on certain conditions
db.table
  .create(data)
  .onConflict('email')
  .set({ key: 'value' })
  .where({ ...certainConditions });

defaults

defaults allows setting values that will be used later in create.

Columns provided in defaults are marked as optional in the following create. defaults

Default data is the same as in create and createMany, so you can provide a raw SQL, or a query.

// Will use firstName from defaults and lastName from create argument:
db.table
  .defaults({
    firstName: 'first name',
    lastName: 'last name',
  })
  .create({
    lastName: 'override the last name',
  });

update

update takes an object with columns and values to update records.

By default, update will return a count of updated records.

Place select, selectAll, or get before update to specify returning columns.

You need to provide where, findBy, or find conditions before calling update. To ensure that the whole table won't be updated by accident, updating without where conditions will result in TypeScript and runtime errors.

Use all() to update ALL records without conditions:

await db.table.all().update({ name: 'new name' });

If select and where were specified before the update it will return an array of updated records.

If select and take, find, or similar were specified before the update it will return one updated record.

For a column value you can provide a specific value, raw SQL, a query object that returns a single value, or a callback with a sub-query.

The callback is allowed to select a single value from a relation (see fromRelation column below), or to use a jsonSet, jsonInsert, and jsonRemove for a JSON column (see jsonColumn below).

import { sql } from './baseTable';

// returns number of updated records by default
const updatedCount = await db.table
  .where({ name: 'old name' })
  .update({ name: 'new name' });

// returning only `id`
const id = await db.table.find(1).get('id').update({ name: 'new name' });

// `selectAll` + `find` will return a full record
const oneFullRecord = await db.table
  .selectAll()
  .find(1)
  .update({ name: 'new name' });

// `selectAll` + `where` will return array of full records
const recordsArray = await db.table
  .select('id', 'name')
  .where({ id: 1 })
  .update({ name: 'new name' });

await db.table.where({ ...conditions }).update({
  // set the column to a specific value
  column1: 123,

  // use custom SQL to update the column
  column2: () => sql`2 + 2`,

  // use query that returns a single value
  // returning multiple values will result in Postgres error
  column3: db.otherTable.get('someColumn'),

  // select a single value from a related record
  fromRelation: (q) => q.relatedTable.get('someColumn'),

  // set a new value to the `.foo.bar` path into a JSON column
  jsonColumn: (q) => q.jsonSet('jsonColumn', ['foo', 'bar'], 'new value'),
});

sub-queries

In addition to sub-queries that are simply selecting a single value, it's supported to update a column with a result of the provided create, update, or delete sub-query.

await db.table.where({ ...conditions }).update({
  // `column` will be set to a value of the `otherColumn` of the created record.
  column: db.otherTable.get('otherColumn').create({ ...data }),

  // `column2` will be set to a value of the `otherColumn` of the updated record.
  column2: db.otherTable
    .get('otherColumn')
    .findBy({ ...conditions })
    .update({ key: 'value' }),

  // `column3` will be set to a value of the `otherColumn` of the deleted record.
  column3: db.otherTable
    .get('otherColumn')
    .findBy({ ...conditions })
    .delete(),
});

This is achieved by defining a WITH clause under the hood, it produces such a query:

WITH q AS (
  INSERT INTO "otherTable"(col1, col2, col3)
  VALUES ('val1', 'val2', 'val3')
  RETURNING "otherTable"."selectedColumn"
)
UPDATE "table"
SET "column" = (SELECT * FROM "q")

The query is atomic, and if the sub-query fails, or the update part fails, or if multiple rows are returned from a sub-query, no changes will persist in the database.

Though it's possible to select a single value from a callback for the column to update:

await db.table.find(1).update({
  // update column `one` with the value of column `two` of the related record.
  one: (q) => q.relatedTable.get('two'),
});

It is not supported to use create, update, or delete kinds of sub-query on related tables:

await db.table.find(1).update({
  // TS error, this is not allowed:
  one: (q) => q.relatedTable.get('two').create({ ...data }),
});

update can be used in with expressions:

db.$queryBuilder
  // update record in one table
  .with('a', db.table.find(1).select('id').update(data))
  // update record in other table using the first table record id
  .with('b', (q) =>
    db.otherTable
      .find(1)
      .select('id')
      .update({
        ...otherData,
        aId: () => q.from('a').get('id'),
      }),
  )
  .from('b');

null, undefined, unknown columns

• null value will set a column to NULL
• undefined value will be ignored
• unknown columns will be ignored

db.table.findBy({ id: 1 }).update({
  name: null, // updates to null
  age: undefined, // skipped, no effect
  lalala: 123, // skipped
});

empty set

When trying to query update with an empty object, it will be transformed seamlessly to a SELECT query:

// imagine the data is an empty object
const data = req.body;

// query is transformed to `SELECT count(*) WHERE key = 'value'`
const count = await db.table.where({ key: 'value' }).update(data);

// will select a full record by id
const record = await db.table.find(1).selectAll().update(data);

// will select a single column by id
const name = await db.table.find(1).get('name').update(data);

If the table has updatedAt timestamp, it will be updated even for an empty data.

updateSql

updateSql is for updating records with raw SQL expression.

The behavior is the same as a regular update method has: find or where must precede calling this method, it returns an updated count by default, you can customize returning data by using select.

const value = 'new name';

// update with SQL template string
const updatedCount = await db.table.find(1).updateSql`name = ${value}`;

// or update with `sql` function:
await db.table.find(1).updateSql(sql`name = ${value}`);

updateOrThrow

To make sure that at least one row was updated use updateOrThrow:

import { NotFoundError } from 'orchid-orm';

try {
  // updatedCount is guaranteed to be greater than 0
  const updatedCount = await db.table
    .where(conditions)
    .updateOrThrow({ name: 'name' });

  // updatedRecords is guaranteed to be a non-empty array
  const updatedRecords = await db.table
    .where(conditions)
    .select('id')
    .updateOrThrow({ name: 'name' });
} catch (err) {
  if (err instanceof NotFoundError) {
    // handle error
  }
}

upsert

upsert tries to update one record, and it will perform create in case a record was not found.

It will implicitly wrap queries in a transaction if it was not wrapped yet.

find or findBy must precede upsert because it does not work with multiple updates.

In case more than one row was updated, it will throw MoreThanOneRowError and the transaction will be rolled back.

It can take update and create objects, then they are used separately for update and create queries. Or, it can take data and create objects, data will be used for update and be mixed to create object.

data and update objects are of the same type that's expected by update method, create object is of type of create method argument.

It is not returning a value by default, place select or selectAll before upsert to specify returning columns.

await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .upsert({
    data: {
      // update record's name
      name: 'new name',
    },
    create: {
      // create a new record with this email and a name 'new name'
      email: 'some@email.com',
    },
  });

// the same as above but using `update` and `create`
await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .upsert({
    update: {
      name: 'updated user',
    },
    create: {
      email: 'some@email.com',
      // here we use a different name when creating a record
      name: 'created user',
    },
  });

The data for create may be returned from a function, it won't be called if a record was updated:

await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .upsert({
    update: {
      name: 'updated user',
    },
    create: () => ({
      email: 'some@email.com',
      name: 'created user',
    }),
  });

// the same as above using `data`
await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .upsert({
    data: {
      name: 'updated user',
    },
    create: () => ({
      email: 'some@email.com',
      // name in `create` is overriding the name from `data`
      name: 'created user',
    }),
  });

Data from data or update is passed to the create function and can be used:

const user = await User.selectAll()
  .findBy({ email: 'some@email.com' })
  .upsert({
    data: {
      name: 'updated user',
    },
    // `updateData` has the exact type of what is passed to `data`
    create: (updateData) => ({
      email: `${updateData.name}@email.com`,
    }),
  });

increment

Increments a column by 1, returns a count of updated record by default.

const updatedCount = await db.table
  .where(...conditions)
  .increment('numericColumn');

When using find or get it will throw NotFoundError when no records found.

// throws when not found
const updatedCount = await db.table.find(1).increment('numericColumn');

// also throws when not found
const updatedCount2 = await db.table
  .where(...conditions)
  .get('columnName')
  .increment('numericColumn');

Provide an object to increment multiple columns with different values. Use select to specify columns to return.

// increment someColumn by 5 and otherColumn by 10, return updated records
const result = await db.table
  .selectAll()
  .where(...conditions)
  .increment({
    someColumn: 5,
    otherColumn: 10,
  });

decrement

Decrements a column by 1, returns a count of updated record by default.

const updatedCount = await db.table
  .where(...conditions)
  .decrement('numericColumn');

When using find or get it will throw NotFoundError when no records found.

// throws when not found
const updatedCount = await db.table.find(1).decrement('numericColumn');

// also throws when not found
const updatedCount2 = await db.table
  .where(...conditions)
  .get('columnName')
  .decrement('numericColumn');

Provide an object to decrement multiple columns with different values. Use select to specify columns to return.

// decrement someColumn by 5 and otherColumn by 10, return updated records
const result = await db.table
  .selectAll()
  .where(...conditions)
  .decrement({
    someColumn: 5,
    otherColumn: 10,
  });

delete

This method deletes one or more rows, based on other conditions specified in the query.

By default, delete will return a count of deleted records.

Place select, selectAll, or get before delete to specify returning columns.

Need to provide where, findBy, or find conditions before calling delete. To prevent accidental deletion of all records, deleting without where will result in TypeScript and a runtime error.

Use all() to delete ALL records without conditions:

await db.table.all().delete();

// deletedCount is the number of deleted records
const deletedCount = await db.table.where(...conditions).delete();

// returns a single value, throws if not found
const id: number | undefined = await db.table
  .findBy(...conditions)
  .get('id')
  .delete();

// returns an array of records with specified columns
const deletedRecord = await db.table
  .select('id', 'name', 'age')
  .where(...conditions)
  .delete();

// returns an array of fully deleted records
const deletedUsersFull = await db.table
  .selectAll()
  .where(...conditions)
  .delete();

delete supports joining, under the hood the join is transformed to USING and WHERE statements:

// delete all users who have corresponding profile records:
db.table.join(Profile, 'profile.userId', 'user.id').all().delete();

delete can be used in with expressions:

db.$queryBuilder
  // delete a record in one table
  .with('a', db.table.find(1).select('id').delete())
  // delete a record in other table using the first table record id
  .with('b', (q) =>
    db.otherTable.select('id').whereIn('aId', q.from('a').pluck('id')).delete(),
  )
  .from('b');