/** * Parse the JSON returned from splunkd describing this data model. * * This method writes the results into fields of this object. * * @param input a String containing JSON. */ private void parseDescription(String input) { objects = new HashMap<String, DataModelObject>(); JsonElement rootElement = jsonParser.parse(input); for (Entry<String, JsonElement> entry : rootElement.getAsJsonObject().entrySet()) { if (entry.getKey().equals(MODEL_NAME_LABEL)) { content.put(MODEL_NAME_LABEL, entry.getValue().getAsString()); } else if (entry.getKey().equals(DISPLAY_NAME_LABEL)) { content.put(DISPLAY_NAME_LABEL, entry.getValue().getAsString()); } else if (entry.getKey().equals(DESCRIPTION_LABEL)) { description = entry.getValue().getAsString(); } else if (entry.getKey().equals("objects")) { JsonArray objectArray = entry.getValue().getAsJsonArray(); for (JsonElement object : objectArray) { DataModelObject dmo = DataModelObject.parse(this, object); objects.put(dmo.getName(), dmo); } } else { // Allow new keys without complaining } } }
/** * @return a JSON serialization of this object. */ JsonObject toJson() { JsonObject root = new JsonObject(); root.addProperty("dataModel", this.dataModelObject.getDataModel().getName()); root.addProperty("baseClass", this.dataModelObject.getName()); JsonArray filterArray = new JsonArray(); for (PivotFilter p : filters) { filterArray.add(p.toJson()); } root.add("filters", filterArray); JsonArray rowsplitArray = new JsonArray(); for (PivotRowSplit p : rows) { rowsplitArray.add(p.toJson()); } root.add("rows", rowsplitArray); JsonArray cellvalueArray = new JsonArray(); for (PivotCellValue p : cells) { cellvalueArray.add(p.toJson()); } root.add("cells", cellvalueArray); JsonArray columnsplitArray = new JsonArray(); for (PivotColumnSplit p : columns) { columnsplitArray.add(p.toJson()); } root.add("columns", columnsplitArray); return root; }
public String getQuery() { return "| datamodel " + this.getDataModel().getName() + " " + this.getName() + " search"; }
/** * Local acceleration is tsidx acceleration of a data model object that is handled * manually by a user. You create a job which generates an index, and then use that * index in your pivots on the data model object. * * The namespace created by the job is 'sid={sid}' where {sid} is the job's sid. You * would use it in another job by starting your search query with * * | tstats ... from sid={sid} | ... * * The tsidx index created by this job is deleted when the job is garbage collected * by Splunk. * * It is the user's responsibility to manage this job, including cancelling it. * * @param earliestTime A time modifier (e.g., "-2w") setting the earliest time to index. * @return a Job writing a tsidx index. */ public Job createLocalAccelerationJob(String earliestTime) { String query = "| datamodel " + this.model.getName() + " " + this.getName() + " search | tscollect"; JobArgs args = new JobArgs(); if (earliestTime != null) { args.setEarliestTime(earliestTime); } return this.model.getService().search(query, args); }