Insert()

Inserts entities into a collection, returning the primary keys assigned to the new rows.

pub async fn insert(&self, request: InsertRequest) -> Result<InsertResponse>

Request Syntax

let request = InsertRequest::builder()
    .collection_name("books")
    .columns(vec![
        FieldData::Int64 {
            name: "id".into(),
            values: vec![1, 2],
        },
        FieldData::FloatVector {
            name: "vector".into(),
            values: vec![vec![0.1, 0.2], vec![0.3, 0.4]],
        },
    ])
    .build()?;

REQUEST FIELDS:

• database_name: Option<String>

  Name of the target database; uses the default database when empty.

• collection_name: String

  Name of the collection to insert into. Required.

• partition_name: String

  Name of the partition to insert into. Required.

• columns: Vec<FieldData>

  Column-oriented field values, one FieldData entry per field, in row order. See FieldData.

• rows: Vec<EntityRow>

  Row-oriented entities as JSON objects. columns and rows cannot both be provided. See EntityRow.

RETURN TYPE:

Result

RETURNS:

The mutation result, including the assigned primary keys and per-row status. Returns an Error if the operation fails.

DmlResponse
    ids() // -> &Ids
    succeeded_indices() // -> &[u32]
    failed_indices() // -> &[u32]
    is_acknowledged() // -> bool
    insert_count() // -> i64
    delete_count() // -> i64
    upsert_count() // -> i64
    timestamp() // -> u64

METHODS:

• ids() (&Ids) -

  The primary keys assigned to the mutated rows. See Ids.

• succeeded_indices() (&[u32]) -

  The row indices that succeeded.

• failed_indices() (&[u32]) -

  The row indices that failed.

• is_acknowledged() (bool) -

  Whether the mutation was acknowledged by the server.

• insert_count() (i64) -

  The number of rows inserted.

• delete_count() (i64) -

  The number of rows deleted.

• upsert_count() (i64) -

  The number of rows upserted.

• timestamp() (u64) -

  The mutation timestamp.

Example

let request = InsertRequest::builder()
    .collection_name("books")
    .columns(vec![
        FieldData::Int64 {
            name: "id".into(),
            values: vec![1, 2],
        },
        FieldData::FloatVector {
            name: "vector".into(),
            values: vec![vec![0.1, 0.2], vec![0.3, 0.4]],
        },
    ])
    .build()?;
let resp = client.insert(request).await?;