聊聊flink Table的Over Windows

Table table = input
  .window([OverWindow w].as("w"))           // define over window with alias w
  .select("a, b.sum over w, c.min over w"); // aggregate over the over window w

​
// Unbounded Event-time over window (assuming an event-time attribute "rowtime")
.window(Over.partitionBy("a").orderBy("rowtime").preceding("unbounded_range").as("w"));
​
// Unbounded Processing-time over window (assuming a processing-time attribute "proctime")
.window(Over.partitionBy("a").orderBy("proctime").preceding("unbounded_range").as("w"));
​
// Unbounded Event-time Row-count over window (assuming an event-time attribute "rowtime")
.window(Over.partitionBy("a").orderBy("rowtime").preceding("unbounded_row").as("w"));
 
// Unbounded Processing-time Row-count over window (assuming a processing-time attribute "proctime")
.window(Over.partitionBy("a").orderBy("proctime").preceding("unbounded_row").as("w"));

// Bounded Event-time over window (assuming an event-time attribute "rowtime")
.window(Over.partitionBy("a").orderBy("rowtime").preceding("1.minutes").as("w"))
​
// Bounded Processing-time over window (assuming a processing-time attribute "proctime")
.window(Over.partitionBy("a").orderBy("proctime").preceding("1.minutes").as("w"))
​
// Bounded Event-time Row-count over window (assuming an event-time attribute "rowtime")
.window(Over.partitionBy("a").orderBy("rowtime").preceding("10.rows").as("w"))
 
// Bounded Processing-time Row-count over window (assuming a processing-time attribute "proctime")
.window(Over.partitionBy("a").orderBy("proctime").preceding("10.rows").as("w"))

class Table(
    private[flink] val tableEnv: TableEnvironment,
    private[flink] val logicalPlan: LogicalNode) {
​
  //......  
​
  @varargs
  def window(overWindows: OverWindow*): OverWindowedTable = {
​
    if (tableEnv.isInstanceOf[BatchTableEnvironment]) {
      throw new TableException("Over-windows for batch tables are currently not supported.")
    }
​
    if (overWindows.size != 1) {
      throw new TableException("Over-Windows are currently only supported single window.")
    }
​
    new OverWindowedTable(this, overWindows.toArray)
  }
​
  //......
​
}    

/**
  * Over window is similar to the traditional OVER SQL.
  */
case class OverWindow(
    private[flink] val alias: Expression,
    private[flink] val partitionBy: Seq[Expression],
    private[flink] val orderBy: Expression,
    private[flink] val preceding: Expression,
    private[flink] val following: Expression)

object Over {
​
  /**
    * Specifies the time attribute on which rows are grouped.
    *
    * For streaming tables call [[orderBy 'rowtime or orderBy 'proctime]] to specify time mode.
    *
    * For batch tables, refer to a timestamp or long attribute.
    */
  def orderBy(orderBy: String): OverWindowWithOrderBy = {
    val orderByExpr = ExpressionParser.parseExpression(orderBy)
    new OverWindowWithOrderBy(Array[Expression](), orderByExpr)
  }
​
  /**
    * Partitions the elements on some partition keys.
    *
    * @param partitionBy some partition keys.
    * @return A partitionedOver instance that only contains the orderBy method.
    */
  def partitionBy(partitionBy: String): PartitionedOver = {
    val partitionByExpr = ExpressionParser.parseExpressionList(partitionBy).toArray
    new PartitionedOver(partitionByExpr)
  }
}
​
class OverWindowWithOrderBy(
  private val partitionByExpr: Array[Expression],
  private val orderByExpr: Expression) {
​
  /**
    * Set the preceding offset (based on time or row-count intervals) for over window.
    *
    * @param preceding preceding offset relative to the current row.
    * @return this over window
    */
  def preceding(preceding: String): OverWindowWithPreceding = {
    val precedingExpr = ExpressionParser.parseExpression(preceding)
    new OverWindowWithPreceding(partitionByExpr, orderByExpr, precedingExpr)
  }
​
}
​
class PartitionedOver(private val partitionByExpr: Array[Expression]) {
​
  /**
    * Specifies the time attribute on which rows are grouped.
    *
    * For streaming tables call [[orderBy 'rowtime or orderBy 'proctime]] to specify time mode.
    *
    * For batch tables, refer to a timestamp or long attribute.
    */
  def orderBy(orderBy: String): OverWindowWithOrderBy = {
    val orderByExpr = ExpressionParser.parseExpression(orderBy)
    new OverWindowWithOrderBy(partitionByExpr, orderByExpr)
  }
}
​
class OverWindowWithPreceding(
    private val partitionBy: Seq[Expression],
    private val orderBy: Expression,
    private val preceding: Expression) {
​
  private[flink] var following: Expression = _
​
  /**
    * Assigns an alias for this window that the following `select()` clause can refer to.
    *
    * @param alias alias for this over window
    * @return over window
    */
  def as(alias: String): OverWindow = as(ExpressionParser.parseExpression(alias))
​
  /**
    * Assigns an alias for this window that the following `select()` clause can refer to.
    *
    * @param alias alias for this over window
    * @return over window
    */
  def as(alias: Expression): OverWindow = {
​
    // set following to CURRENT_ROW / CURRENT_RANGE if not defined
    if (null == following) {
      if (preceding.resultType.isInstanceOf[RowIntervalTypeInfo]) {
        following = CURRENT_ROW
      } else {
        following = CURRENT_RANGE
      }
    }
    OverWindow(alias, partitionBy, orderBy, preceding, following)
  }
​
  /**
    * Set the following offset (based on time or row-count intervals) for over window.
    *
    * @param following following offset that relative to the current row.
    * @return this over window
    */
  def following(following: String): OverWindowWithPreceding = {
    this.following(ExpressionParser.parseExpression(following))
  }
​
  /**
    * Set the following offset (based on time or row-count intervals) for over window.
    *
    * @param following following offset that relative to the current row.
    * @return this over window
    */
  def following(following: Expression): OverWindowWithPreceding = {
    this.following = following
    this
  }
}

class OverWindowedTable(
    private[flink] val table: Table,
    private[flink] val overWindows: Array[OverWindow]) {
​
  def select(fields: Expression*): Table = {
    val expandedFields = expandProjectList(
      fields,
      table.logicalPlan,
      table.tableEnv)
​
    if(fields.exists(_.isInstanceOf[WindowProperty])){
      throw new ValidationException(
        "Window start and end properties are not available for Over windows.")
    }
​
    val expandedOverFields = resolveOverWindows(expandedFields, overWindows, table.tableEnv)
​
    new Table(
      table.tableEnv,
      Project(
        expandedOverFields.map(UnresolvedAlias),
        table.logicalPlan,
        // required for proper projection push down
        explicitAlias = true)
        .validate(table.tableEnv)
    )
  }
​
  def select(fields: String): Table = {
    val fieldExprs = ExpressionParser.parseExpressionList(fields)
    //get the correct expression for AggFunctionCall
    val withResolvedAggFunctionCall = fieldExprs.map(replaceAggFunctionCall(_, table.tableEnv))
    select(withResolvedAggFunctionCall: _*)
  }
}