Batch

columns and relationships of "Batch"

type Batch {
  batcher: Batcher
  batcher_id: String
  db_write_timestamp: timestamp
  hash: String
  id: String!
  position: numeric
  size: numeric!
  streams(
    distinct_on: [Stream_select_column!]
    limit: Int
    offset: Int
    order_by: [Stream_order_by!]
    where: Stream_bool_exp
  ): [Stream!]!
  streams_aggregate(
    distinct_on: [Stream_select_column!]
    limit: Int
    offset: Int
    order_by: [Stream_order_by!]
    where: Stream_bool_exp
  ): Stream_aggregate!
  timestamp: numeric
}

Fields

Batch.batcher ● Batcher object

An object relationship

Batch.batcher_id ● String scalar

Batch.db_write_timestamp ● timestamp scalar

Batch.hash ● String scalar

Batch.id ● String! non-null scalar

Batch.position ● numeric scalar

Batch.size ● numeric! non-null scalar

Batch.streams ● [Stream!]! non-null object

An array relationship

Batch.streams.distinct_on ● [Stream_select_column!] list enum

distinct select on columns

Batch.streams.limit ● Int scalar

limit the number of rows returned

Batch.streams.offset ● Int scalar

skip the first n rows. Use only with order_by

Batch.streams.order_by ● [Stream_order_by!] list input

sort the rows by one or more columns

Batch.streams.where ● Stream_bool_exp input

filter the rows returned

Batch.streams_aggregate ● Stream_aggregate! non-null object

An aggregate relationship

Batch.streams_aggregate.distinct_on ● [Stream_select_column!] list enum

distinct select on columns

Batch.streams_aggregate.limit ● Int scalar

limit the number of rows returned

Batch.streams_aggregate.offset ● Int scalar

skip the first n rows. Use only with order_by

Batch.streams_aggregate.order_by ● [Stream_order_by!] list input

sort the rows by one or more columns

Batch.streams_aggregate.where ● Stream_bool_exp input

filter the rows returned

Batch.timestamp ● numeric scalar