use of net.opentsdb.core.RateOptions in project opentsdb by OpenTSDB.
the class CliQuery method parseCommandLineQuery.
/**
* Parses the query from the command lines.
* @param args The command line arguments.
* @param tsdb The TSDB to use.
* @param queries The list in which {@link Query}s will be appended.
* @param plotparams The list in which global plot parameters will be
* appended. Ignored if {@code null}.
* @param plotoptions The list in which per-line plot options will be
* appended. Ignored if {@code null}.
*/
static void parseCommandLineQuery(final String[] args, final TSDB tsdb, final ArrayList<Query> queries, final ArrayList<String> plotparams, final ArrayList<String> plotoptions) {
long start_ts = DateTime.parseDateTimeString(args[0], null);
if (start_ts >= 0)
start_ts /= 1000;
long end_ts = -1;
if (args.length > 3) {
// see if we can detect an end time
try {
if (args[1].charAt(0) != '+' && (args[1].indexOf(':') >= 0 || args[1].indexOf('/') >= 0 || args[1].indexOf('-') >= 0 || Long.parseLong(args[1]) > 0)) {
end_ts = DateTime.parseDateTimeString(args[1], null);
}
} catch (NumberFormatException nfe) {
// ignore it as it means the third parameter is likely the aggregator
}
}
// it clobbers -1 results
if (end_ts >= 0)
end_ts /= 1000;
int i = end_ts < 0 ? 1 : 2;
while (i < args.length && args[i].charAt(0) == '+') {
if (plotparams != null) {
plotparams.add(args[i]);
}
i++;
}
while (i < args.length) {
final Aggregator agg = Aggregators.get(args[i++]);
final boolean rate = args[i].equals("rate");
RateOptions rate_options = new RateOptions(false, Long.MAX_VALUE, RateOptions.DEFAULT_RESET_VALUE);
if (rate) {
i++;
long counterMax = Long.MAX_VALUE;
long resetValue = RateOptions.DEFAULT_RESET_VALUE;
if (args[i].startsWith("counter")) {
String[] parts = Tags.splitString(args[i], ',');
if (parts.length >= 2 && parts[1].length() > 0) {
counterMax = Long.parseLong(parts[1]);
}
if (parts.length >= 3 && parts[2].length() > 0) {
resetValue = Long.parseLong(parts[2]);
}
rate_options = new RateOptions(true, counterMax, resetValue);
i++;
}
}
final boolean downsample = args[i].equals("downsample");
if (downsample) {
i++;
}
final long interval = downsample ? Long.parseLong(args[i++]) : 0;
final Aggregator sampler = downsample ? Aggregators.get(args[i++]) : null;
final String metric = args[i++];
final HashMap<String, String> tags = new HashMap<String, String>();
while (i < args.length && args[i].indexOf(' ', 1) < 0 && args[i].indexOf('=', 1) > 0) {
Tags.parse(tags, args[i++]);
}
if (i < args.length && args[i].indexOf(' ', 1) > 0) {
plotoptions.add(args[i++]);
}
final Query query = tsdb.newQuery();
query.setStartTime(start_ts);
if (end_ts > 0) {
query.setEndTime(end_ts);
}
query.setTimeSeries(metric, tags, agg, rate, rate_options);
if (downsample) {
query.downsample(interval, sampler);
}
queries.add(query);
}
}
Aggregations