package com.avaje.ebean;

import java.io.Serializable;

/**
 * Defines the configuration options for a "query fetch" or a
 * "lazy loading fetch". This gives you the ability to use multiple smaller
 * queries to populate an object graph as opposed to a single large query.
 * <p>
 * The primary goal is to provide efficient ways of loading complex object
 * graphs avoiding SQL Cartesian product and issues around populating object
 * graphs that have multiple *ToMany relationships.
 * </p>
 * <p>
 * It also provides the ability to control the lazy loading queries (batch size,
 * selected properties and fetches) to avoid N+1 queries etc.
 * <p>
 * There can also be cases loading across a single OneToMany where 2 SQL queries
 * using Ebean FetchConfig.query() can be more efficient than one SQL query.
 * When the "One" side is wide (lots of columns) and the cardinality difference
 * is high (a lot of "Many" beans per "One" bean) then this can be more
 * efficient loaded as 2 SQL queries.
 * </p>
 * 
 * <pre>{@code
 * // Normal fetch join results in a single SQL query
 * List<Order> list = Ebean.find(Order.class).fetch("details").findList();
 * 
 * // Find Orders join details using a single SQL query
 * }</pre>
 * <p>
 * Example: Using a "query join" instead of a "fetch join" we instead use 2 SQL
 * queries
 * </p>
 * 
 * <pre>{@code
 * // This will use 2 SQL queries to build this object graph
 * List<Order> list =
 *     Ebean.find(Order.class)
 *         .fetch("details", new FetchConfig().query())
 *         .findList();
 * 
 * // query 1) find order
 * // query 2) find orderDetails where order.id in (?,?...) // first 100 order id's
 * }</pre>
 * <p>
 * Example: Using 2 "query joins"
 * </p>
 * 
 * <pre>{@code
 * // This will use 3 SQL queries to build this object graph
 * List<Order> list =
 *     Ebean.find(Order.class)
 *         .fetch("details", new FetchConfig().query())
 *         .fetch("customer", new FetchConfig().queryFirst(5))
 *         .findList();
 * 
 * // query 1) find order
 * // query 2) find orderDetails where order.id in (?,?...) // first 100 order id's
 * // query 3) find customer where id in (?,?,?,?,?) // first 5 customers
 * }</pre>
 * <p>
 * Example: Using "query joins" and partial objects
 * </p>
 * 
 * <pre>{@code
 * // This will use 3 SQL queries to build this object graph
 * List<Order> list =
 *     Ebean.find(Order.class)
 *         .select("status, shipDate")
 *         .fetch("details", "quantity, price", new FetchConfig().query())
 *         .fetch("details.product", "sku, name")
 *         .fetch("customer", "name", new FetchConfig().queryFirst(5))
 *         .fetch("customer.contacts")
 *         .fetch("customer.shippingAddress")
 *         .findList();
 * 
 * // query 1) find order (status, shipDate)
 * // query 2) find orderDetail (quantity, price) fetch product (sku, name) where
 * // order.id in (?,? ...)
 * // query 3) find customer (name) fetch contacts (*) fetch shippingAddress (*)
 * // where id in (?,?,?,?,?)
 * 
 * // Note: the fetch of "details.product" is automatically included into the
 * // fetch of "details"
 * //
 * // Note: the fetch of "customer.contacts" and "customer.shippingAddress"
 * // are automatically included in the fetch of "customer"
 * }</pre>
 * <p>
 * You can use query() and lazy together on a single join. The query is executed
 * immediately and the lazy defines the batch size to use for further lazy
 * loading (if lazy loading is invoked).
 * </p>
 * 
 * <pre>{@code
 * List<Order> list =
 *     Ebean.find(Order.class)
 *         .fetch("customer", new FetchConfig().query(10).lazy(5))
 *         .findList();
 * 
 * // query 1) find order
 * // query 2) find customer where id in (?,?,?,?,?,?,?,?,?,?) // first 10 customers
 * // .. then if lazy loading of customers is invoked
 * // .. use a batch size of 5 to load the customers
 * 
 * }</pre>
 * 
 * <p>
 * Example of controlling the lazy loading query:
 * </p>
 * <p>
 * This gives us the ability to optimise the lazy loading query for a given use
 * case.
 * </p>
 * 
 * <pre>{@code
 * List<Order> list = Ebean.find(Order.class)
 *   .fetch("customer","name", new FetchConfig().lazy(5))
 *   .fetch("customer.contacts",&quotcontactName, phone, email&quot)
 *   .fetch("customer.shippingAddress")
 *   .where().eq("status",Order.Status.NEW)
 *   .findList();
 * 
 * // query 1) find order where status = Order.Status.NEW
 * //  
 * // .. if lazy loading of customers is invoked 
 * // .. use a batch size of 5 to load the customers 
 *  
 *       find  customer (name) 
 *       fetch customer.contacts (contactName, phone, email) 
 *       fetch customer.shippingAddress (*) 
 *       where id in (?,?,?,?,?)
 * 
 * }</pre>
 * 
 * @author mario
 * @author rbygrave
 */
public class FetchConfig implements Serializable {

  private static final long serialVersionUID = 1L;

  private int lazyBatchSize = -1;

  private int queryBatchSize = -1;

  private boolean queryAll;

  /**
   * Construct the fetch configuration object.
   */
  public FetchConfig() {
  }

  /**
   * Specify that this path should be lazy loaded using the default batch load
   * size.
   */
  public FetchConfig lazy() {
    this.lazyBatchSize = 0;
    this.queryAll = false;
    return this;
  }

  /**
   * Specify that this path should be lazy loaded with a specified batch size.
   * 
   * @param lazyBatchSize
   *          the batch size for lazy loading
   */
  public FetchConfig lazy(int lazyBatchSize) {
    this.lazyBatchSize = lazyBatchSize;
    this.queryAll = false;
    return this;
  }

  /**
   * Eagerly fetch the beans in this path as a separate query (rather than as
   * part of the main query).
   * <p>
   * This will use the default batch size for separate query which is 100.
   * </p>
   */
  public FetchConfig query() {
    this.queryBatchSize = 0;
    this.queryAll = true;
    return this;
  }

  /**
   * Eagerly fetch the beans in this path as a separate query (rather than as
   * part of the main query).
   * <p>
   * The queryBatchSize is the number of parent id's that this separate query
   * will load per batch.
   * </p>
   * <p>
   * This will load all beans on this path eagerly unless a {@link #lazy(int)}
   * is also used.
   * </p>
   * 
   * @param queryBatchSize
   *          the batch size used to load beans on this path
   */
  public FetchConfig query(int queryBatchSize) {
    this.queryBatchSize = queryBatchSize;
    // queryAll true as long as a lazy batch size has not already been set
    this.queryAll = (lazyBatchSize == -1);
    return this;
  }

  /**
   * Eagerly fetch the first batch of beans on this path.
   * This is similar to {@link #query(int)} but only fetches the first batch.
   * <p>
   * If there are more parent beans than the batch size then they will not be
   * loaded eagerly but instead use lazy loading.
   * </p>
   * 
   * @param queryBatchSize
   *          the number of parent beans this path is populated for
   */
  public FetchConfig queryFirst(int queryBatchSize) {
    this.queryBatchSize = queryBatchSize;
    this.queryAll = false;
    return this;
  }

  /**
   * Return the batch size for lazy loading.
   */
  public int getLazyBatchSize() {
    return lazyBatchSize;
  }
  
  /**
   * Return the batch size for separate query load.
   */
  public int getQueryBatchSize() {
    return queryBatchSize;
  }

  /**
   * Return true if the query fetch should fetch 'all' rather than just the
   * 'first' batch.
   */
  public boolean isQueryAll() {
    return queryAll;
  }

  @Override
  public boolean equals(Object o) {
    if (this == o) return true;
    if (o == null || getClass() != o.getClass()) return false;

    FetchConfig that = (FetchConfig) o;
    if (lazyBatchSize != that.lazyBatchSize) return false;
    if (queryBatchSize != that.queryBatchSize) return false;
    return queryAll == that.queryAll;
  }

  @Override
  public int hashCode() {
    int result = lazyBatchSize;
    result = 92821 * result + queryBatchSize;
    result = 92821 * result + (queryAll ? 1 : 0);
    return result;
  }
}