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SPARKC-403: Add CLUSTERING ORDER in cql statement #981

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SPARKC-403: Add CLUSTERING ORDER in cql statement #981

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4ae3ff9
Add CLUSTERING ORDER in cql statement
May 17, 2016
5bc7cc6
Add CLUSTERING ORDER in cql statement
May 17, 2016
4dd085c
Changed custom ClusteringOrder class to com.datastax.driver.core.Clus…
Jul 27, 2016
bae67de
Removed list of Clustering order from TableDef
Aug 1, 2016
697dd0e
Changed Options String to Seq[String]
Aug 21, 2016
0aa10be
Changed Options to tableOptions and its type to Map[String,String].
Oct 19, 2016
dfa0382
Changed Options to tableOptions and its type to Map[String,String].
Oct 27, 2016
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22 changes: 7 additions & 15 deletions spark-cassandra-connector/src/main/scala/com/datastax/spark/connector/cql/Schema.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -151,11 +151,12 @@ case class TableDef(
regularColumns: Seq[ColumnDef],
indexes: Seq[IndexDef] = Seq.empty,
isView: Boolean = false,
options: String = "") extends StructDef {
options: Seq[String] = Seq.empty) extends StructDef {
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@RussellSpitzer RussellSpitzer Oct 19, 2016

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Perhaps this should be tableOptions (matching the cql docs), and also now that I think about this perhaps it fits a Map better than a sequence? This would make it much clearer that we are looking for a set of key-value pairs.


require(partitionKey.forall(_.isPartitionKeyColumn), "All partition key columns must have role PartitionKeyColumn")
require(clusteringColumns.forall(_.isClusteringColumn), "All clustering columns must have role ClusteringColumn")
require(regularColumns.forall(!_.isPrimaryKeyColumn), "Regular columns cannot have role PrimaryKeyColumn")
require(options.forall( option => !(option.toLowerCase.contains("and") && !(option.toLowerCase.contains("with")))), "Table options must not contain WITH OR AND")
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@RussellSpitzer RussellSpitzer Oct 19, 2016

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What if I want to set my comment on a table to Sand Castles with Judge's Rankings. Basically I think we should let the driver validate the tableOptions. If we want to test them here we should probably only test keys (once we change the tableOptions to a map). I think we are probably best off without the requires here.

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@skp33 skp33 Oct 19, 2016

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I changed accordingly. What will be the better option to validate tableOptions keys?


val allColumns = regularColumns ++ clusteringColumns ++ partitionKey

Expand Down Expand Up @@ -202,21 +203,12 @@ case class TableDef(
| $columnList,
| PRIMARY KEY ($primaryKeyClause)
|)""".stripMargin
val ordered = if (clusteringColumns.size > 0)
s"$stmt${Properties.lineSeparator}WITH CLUSTERING ORDER BY (${clusteringColumnOrder(clusteringColumns)})"
else stmt
appendOptions(ordered, options)
}
private[this] def clusteringColumnOrder(clusteringColumns: Seq[ColumnDef]): String =
clusteringColumns.map { col => s"${quote(col.columnName)} ${col.clusteringOrder}"}.mkString(", ")

def clusterOrder: Seq[ClusteringOrder] = clusteringColumns.map(_.clusteringOrder)
val ordered = clusteringColumns.map( col => s"${quote(col.columnName)} ${col.clusteringOrder}")
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@RussellSpitzer RussellSpitzer Oct 18, 2016

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This is a bit of an overloaded variable name. Perhaps clusterOrderingClause ?

.mkString("CLUSTERING ORDER BY (", ", ",")")

private[this] def appendOptions(stmt: String, opts: String) =
if (stmt.contains("WITH") && opts.startsWith("WITH")) s"$stmt${Properties.lineSeparator}AND ${opts.substring(4)}"
else if (!stmt.contains("WITH") && opts.startsWith("AND")) s"WITH ${opts.substring(3)}"
else if (opts == "") s"$stmt"
else s"$stmt${Properties.lineSeparator}$opts"
val orderWithOptions:Seq[String] = if (clusteringColumns.size > 0) options.+:(ordered) else options
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@RussellSpitzer RussellSpitzer Oct 19, 2016

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lets just go straight to the treble quote here, I think it may be a bit clearer like

val tableOptionsClause = s"WITH $clusteringOrderingClause ${(tableOptions...).mkString(AND)}"
"""$stmt $tableOptionsClause"""

if (orderWithOptions.size > 0) s"""$stmt${Properties.lineSeparator}WITH ${orderWithOptions.mkString(s"${Properties.lineSeparator} AND ")}""" else stmt
}

type ValueRepr = CassandraRow

Expand Down
33 changes: 33 additions & 0 deletions spark-cassandra-connector/src/test/scala/com/datastax/spark/connector/cql/TableDefSpec.scala
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Expand Up @@ -90,6 +90,39 @@ class TableDefSpec extends WordSpec with Matchers {
|)""".stripMargin
)
}

"it contains options" in {
val column1 = ColumnDef("c1", PartitionKeyColumn, IntType)
val column2 = ColumnDef("c2", RegularColumn, VarCharType)
val column3 = ColumnDef("c3", RegularColumn, VarCharType)
val tableDef = TableDef("keyspace", "table", Seq(column1), Seq.empty, Seq(column2,column3),options=Seq("bloom_filter_fp_chance = 0.01"))
tableDef.cql should be(
"""CREATE TABLE "keyspace"."table" (
| "c1" int,
| "c2" varchar,
| "c3" varchar,
| PRIMARY KEY (("c1"))
|)
|WITH bloom_filter_fp_chance = 0.01""".stripMargin
)
}

"it contains clustering column and options" in {
val column1 = ColumnDef("c1", PartitionKeyColumn, IntType)
val column2 = ColumnDef("c2", ClusteringColumn(0), VarCharType)
val column3 = ColumnDef("c3", RegularColumn, VarCharType)
val tableDef = TableDef("keyspace", "table", Seq(column1), Seq(column2), Seq(column3),options=Seq("bloom_filter_fp_chance = 0.01"))
tableDef.cql should be(
"""CREATE TABLE "keyspace"."table" (
| "c1" int,
| "c2" varchar,
| "c3" varchar,
| PRIMARY KEY (("c1"), "c2")
|)
|WITH CLUSTERING ORDER BY ("c2" ASC)
| AND bloom_filter_fp_chance = 0.01""".stripMargin
)
}
}
}
}