Improve MFJSON output (#498)

doc/temporal_types_aggregation.xml

@@ -18,9 +18,9 @@
 
 		<para>The temporal aggregate functions are the following ones:</para>
 		<itemizedlist>
-			<listitem><para>For all temporal types, the function <varname>tXount</varname> generalize the traditional function <varname>count</varname>. The temporal count can be used to compute at each point in time the number of available objects (for example, number of cars in an area).</para></listitem>
+			<listitem><para>For all temporal types, the function <varname>tCount</varname> generalize the traditional function <varname>count</varname>. The temporal count can be used to compute at each point in time the number of available objects (for example, number of cars in an area).</para></listitem>
 			<listitem><para>For all temporal types, function <varname>extent</varname> returns a bounding box that encloses a set of temporal values. Depending on the base type, the result of this function can be a <varname>tstzspan</varname>, a <varname>tbox</varname> or an <varname>stbox</varname>.</para></listitem>
-			<listitem><para>For the temporal Boolean type, the functions <varname>tAnd</varname> and <varname>tor</varname> generalize the traditional functions <varname>and</varname> and <varname>or</varname>.</para></listitem>
+			<listitem><para>For the temporal Boolean type, the functions <varname>tAnd</varname> and <varname>tOr</varname> generalize the traditional functions <varname>and</varname> and <varname>or</varname>.</para></listitem>
 			<listitem><para>For temporal numeric types, there are two types of temporal aggregate functions. The functions <varname>tMin</varname>, <varname>tMax</varname>, <varname>tSum</varname>, and <varname>tAvg</varname> generalize the traditional functions <varname>min</varname>, <varname>max</varname>, <varname>sum</varname>, and <varname>avg</varname>. Furthermore, the functions <varname>wMin</varname>, <varname>wMax</varname>, <varname>wCount</varname>, <varname>wSum</varname>, and <varname>wAvg</varname> are window (or cumulative) versions of the traditional functions that, given a time interval w, compute the value of the function at an instant t by considering the values during the interval [t-w, t]. All window aggregate functions are available for temporal integers, while for temporal floats only window minimum and maximum are meaningful.</para></listitem>
 			<listitem><para>For the temporal text type, the functions <varname>tMin</varname> y <varname>tMax</varname> generalize the traditional functions <varname>min</varname> and <varname>max</varname>.</para></listitem>
 			<listitem><para>Finally, for temporal point types, the function <varname>tCentroid</varname> generalizes the function <varname>ST_Centroid</varname> provided by PostGIS. For example, given set of objects that move together (that is, a convoy or a flock) the temporal centroid will produce a temporal point that represents at each instant the geometric center (or the center of mass) of all the moving objects.</para></listitem>

meos/src/general/temporal.c

@@ -874,6 +874,26 @@ tpoint_out(const Temporal *temp, int maxdd)
 }
 #endif /* MEOS */
 
+/*****************************************************************************/
+
+/**
+ * @ingroup meos_internal_temporal_inout
+ * @brief Return the Well-Known Text (WKT) representation of an array of
+ * temporal values
+ * @param[in] temparr Array of temporal value
+ * @param[in] count Number of elements in the input array
+ * @param[in] maxdd Number of decimal digits
+ */
+char **
+temparr_out(const Temporal **temparr, int count, int maxdd)
+{
+  assert(temparr); assert(count > 0); assert(maxdd >=0);
+  char **result = palloc(sizeof(text *) * count);
+  for (int i = 0; i < count; i++)
+    result[i] = temporal_out(temparr[i], maxdd);
+  return result;
+}
+
 /*****************************************************************************
  * Constructor functions
  ****************************************************************************/