Split SQL into $JOBS input files using round robin distribution

The using of the chunks option with round robin distribution should
create as many input files as there will be jobs and ensure the
projected regeneration times are as equally distributed as possible

src/dist/regen-memo-files.sh

@@ -45,7 +45,7 @@ run_split_parallel_os_dep() {
 set -x
   export JAVA_OPTS="-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=rslt.${DATESTR} -Xmx2g -Dlogback.configurationFile=${MEMOIZER_HOME}/logback-memoizer.xml -Dprocessname=memoizer"
   cd rslt.${DATESTR}
-  split -a 3 -l ${BATCH_SIZE} ${FULL_CSV} -d input.
+  split -a 3 -n r/$JOBS ${FULL_CSV} -d input.
   PARALLEL_OPTS="--halt now,fail=1 --eta --jobs ${JOBS} --joblog parallel-${JOBS}cpus.log --files --use-cpus-instead-of-cores --results . ${DRYRUN}"
 set -x
   /usr/bin/time -p -o timed parallel ${PARALLEL_OPTS} \