Package org.elasticsearch.node

Examples of org.elasticsearch.node.Node


        Node[] nodes = new Node[1];
        for (int i = 0; i < nodes.length; i++) {
            nodes[i] = nodeBuilder().settings(settingsBuilder().put(settings).put("name", "node" + i)).node();
        }

        Node client = nodeBuilder().settings(settingsBuilder().put(settings).put("name", "client")).client(true).node();

        Client client1 = client.client();

        Thread.sleep(1000);
        client1.admin().indices().create(createIndexRequest("test")).actionGet();
        Thread.sleep(5000);

        StopWatch stopWatch = new StopWatch().start();
        int COUNT = 200000;
        int ID_RANGE = 100;
        System.out.println("Indexing [" + COUNT + "] ...");
        int i = 1;
        for (; i <= COUNT; i++) {
//            client1.admin().cluster().preparePingSingle("test", "type1", Integer.toString(i)).execute().actionGet();
            client1.prepareIndex("test", "type1").setId(Integer.toString(i % ID_RANGE)).setSource(source(Integer.toString(i), "test" + i))
                    .setCreate(false).execute().actionGet();
            if ((i % 10000) == 0) {
                System.out.println("Indexed " + i + " took " + stopWatch.stop().lastTaskTime());
                stopWatch.start();
            }
        }
        System.out.println("Indexing took " + stopWatch.totalTime() + ", TPS " + (((double) COUNT) / stopWatch.totalTime().secondsFrac()));

        client.client().admin().indices().prepareRefresh().execute().actionGet();
        System.out.println("Count: " + client.client().prepareCount().setQuery(matchAllQuery()).execute().actionGet().getCount());

        client.close();

        for (Node node : nodes) {
            node.close();
        }
    }
View Full Code Here


        for (int i = 0; i < nodes.length; i++) {
            nodes[i] = nodeBuilder().settings(settingsBuilder().put(settings).put("name", "node" + i)).node();
        }

        //Node client = nodeBuilder().settings(settingsBuilder().put(settings).put("name", "client")).client(true).node();
        Node client = nodes[0];

        Client client1 = client.client();

        Thread.sleep(1000);
        client1.admin().indices().prepareCreate("test").setSettings(settings).addMapping("type1", XContentFactory.jsonBuilder().startObject().startObject("type1")
                .startObject("_source").field("enabled", false).endObject()
                .startObject("_all").field("enabled", false).endObject()
                .startObject("_type").field("index", "no").endObject()
                .startObject("_id").field("index", "no").endObject()
                .startObject("properties")
                .startObject("field").field("type", "string").field("index", "not_analyzed").field("omit_norms", true).endObject()
//                .startObject("field").field("index", "analyzed").field("omit_norms", false).endObject()
                .endObject()
                .endObject().endObject()).execute().actionGet();
        Thread.sleep(5000);

        StopWatch stopWatch = new StopWatch().start();
        long COUNT = SizeValue.parseSizeValue("2m").singles();
        int BATCH = 500;
        System.out.println("Indexing [" + COUNT + "] ...");
        long ITERS = COUNT / BATCH;
        long i = 1;
        int counter = 0;
        for (; i <= ITERS; i++) {
            BulkRequestBuilder request = client1.prepareBulk();
            for (int j = 0; j < BATCH; j++) {
                counter++;
                request.add(Requests.indexRequest("test").type("type1").id(autoGenerateId ? null : Integer.toString(counter)).source(source(Integer.toString(counter), "test" + counter)));
            }
            BulkResponse response = request.execute().actionGet();
            if (response.hasFailures()) {
                System.err.println("failures...");
            }
            if (((i * BATCH) % 10000) == 0) {
                System.out.println("Indexed " + (i * BATCH) + " took " + stopWatch.stop().lastTaskTime());
                stopWatch.start();
            }
        }
        System.out.println("Indexing took " + stopWatch.totalTime() + ", TPS " + (((double) COUNT) / stopWatch.totalTime().secondsFrac()));

        client.client().admin().indices().prepareRefresh().execute().actionGet();
        System.out.println("Count: " + client.client().prepareCount().setQuery(matchAllQuery()).execute().actionGet().getCount());

        client.close();

        for (Node node : nodes) {
            node.close();
        }
    }
View Full Code Here

        int NUM_ADD_ALIAS_REQUEST = 1000;

        Settings settings = ImmutableSettings.settingsBuilder()
                .put("gateway.type", "local")
                .put("node.master", false).build();
        Node node1 = NodeBuilder.nodeBuilder().settings(
                ImmutableSettings.settingsBuilder().put(settings).put("node.master", true)
        ).node();

        Node[] otherNodes = new Node[NUM_ADDITIONAL_NODES];
        for (int i = 0; i < otherNodes.length; i++) {
            otherNodes[i] = NodeBuilder.nodeBuilder().settings(settings).node();
        }

        Client client = node1.client();
        try {
            client.admin().indices().prepareCreate(INDEX_NAME).execute().actionGet();
        } catch (IndexAlreadyExistsException e) {}
        client.admin().cluster().prepareHealth().setWaitForYellowStatus().execute().actionGet();
        int numberOfAliases = countAliases(client);
        System.out.println("Number of aliases: " + numberOfAliases);

        if (numberOfAliases < BASE_ALIAS_COUNT) {
            int diff = BASE_ALIAS_COUNT - numberOfAliases;
            System.out.println("Adding " + diff + " more aliases to get to the start amount of " + BASE_ALIAS_COUNT + " aliases");
            IndicesAliasesRequestBuilder builder = client.admin().indices().prepareAliases();
            for (int i = 1; i <= diff; i++) {
                builder.addAlias(INDEX_NAME, Strings.randomBase64UUID());
                if (i % 1000 == 0) {
                    builder.execute().actionGet();
                    builder = client.admin().indices().prepareAliases();
                }
            }
            if (!builder.request().getAliasActions().isEmpty()) {
                builder.execute().actionGet();
            }
        } else if (numberOfAliases > BASE_ALIAS_COUNT) {
            IndicesAliasesRequestBuilder builder = client.admin().indices().prepareAliases();
            int diff = numberOfAliases - BASE_ALIAS_COUNT;
            System.out.println("Removing " + diff + " aliases to get to the start amount of " + BASE_ALIAS_COUNT + " aliases");
            List<AliasMetaData> aliases= client.admin().indices().prepareGetAliases("*")
                    .addIndices(INDEX_NAME)
                    .execute().actionGet().getAliases().get(INDEX_NAME);
            for (int i = 0; i <= diff; i++) {
                builder.removeAlias(INDEX_NAME, aliases.get(i).alias());
                if (i % 1000 == 0) {
                    builder.execute().actionGet();
                    builder = client.admin().indices().prepareAliases();
                }
            }
            if (!builder.request().getAliasActions().isEmpty()) {
                builder.execute().actionGet();
            }
        }

        numberOfAliases = countAliases(client);
        System.out.println("Number of aliases: " + numberOfAliases);

        long totalTime = 0;
        int max = numberOfAliases + NUM_ADD_ALIAS_REQUEST;
        for (int i = numberOfAliases; i <= max; i++) {
            if (i != numberOfAliases && i % 100 == 0) {
                long avgTime = totalTime / 100;
                System.out.println("Added [" + (i - numberOfAliases) + "] aliases. Avg create time: "  + avgTime + " ms");
                totalTime = 0;
            }

            long time = System.currentTimeMillis();
//            String filter = termFilter("field" + i, "value" + i).toXContent(XContentFactory.jsonBuilder(), null).string();
            client.admin().indices().prepareAliases().addAlias(INDEX_NAME, Strings.randomBase64UUID()/*, filter*/)
                    .execute().actionGet();
            totalTime += System.currentTimeMillis() - time;
        }
        System.out.println("Number of aliases: " + countAliases(client));

        client.close();
        node1.close();
        for (Node otherNode : otherNodes) {
            otherNode.close();
        }
    }
View Full Code Here

    static Client setupIndex() throws Exception {
        // create cluster
        Settings settings = settingsBuilder().put("plugin.types", NativeScriptPlugin.class.getName())
                                             .put("name", "node1")
                                             .build();
        Node node1 = nodeBuilder().clusterName(clusterName).settings(settings).node();
        Client client = node1.client();
        client.admin().cluster().prepareHealth(indexName).setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        // delete the index, if it exists
        try {
            client.admin().indices().prepareDelete(indexName).execute().actionGet();
View Full Code Here

        init(maxTerms);
        List<Results> allResults = new ArrayList<>();
        Settings settings = settingsBuilder().put("plugin.types", NativeScriptExamplesPlugin.class.getName()).build();

        String clusterName = ScriptsScoreBenchmark.class.getSimpleName();
        Node node1 = nodeBuilder().clusterName(clusterName).settings(settingsBuilder().put(settings).put("name", "node1")).node();
        Client client = node1.client();
        client.admin().cluster().prepareHealth("test").setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        indexData(10000, client, false);
        client.admin().cluster().prepareHealth("test").setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        Results results = new Results();
        // init script searches
        results.init(maxTerms - minTerms, "native payload sum script score", "Results for native script score:", "green", ":");
        List<Entry<String, RequestInfo>> searchRequests = initNativeSearchRequests(minTerms, maxTerms,
                NativePayloadSumScoreScript.NATIVE_PAYLOAD_SUM_SCRIPT_SCORE, true);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        results = new Results();
        // init script searches
        results.init(maxTerms - minTerms, "native payload sum script score no record", "Results for native script score:", "black", ":");
        searchRequests = initNativeSearchRequests(minTerms, maxTerms,
                NativePayloadSumNoRecordScoreScript.NATIVE_PAYLOAD_SUM_NO_RECORD_SCRIPT_SCORE, true);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        printOctaveScript(allResults, args);

        client.close();
        node1.close();
    }
View Full Code Here

        init(maxTerms);
        List<Results> allResults = new ArrayList<>();
        Settings settings = settingsBuilder().put("plugin.types", NativeScriptExamplesPlugin.class.getName()).build();

        String clusterName = ScriptsScoreBenchmark.class.getSimpleName();
        Node node1 = nodeBuilder().clusterName(clusterName).settings(settingsBuilder().put(settings).put("name", "node1")).node();
        Client client = node1.client();
        client.admin().cluster().prepareHealth("test").setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        indexData(10000, client, false);
        client.admin().cluster().prepareHealth("test").setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        Results results = new Results();
        results.init(maxTerms - minTerms, "native tfidf script score dense posting list",
                "Results for native script score with dense posting list:", "black", "--");
        // init native script searches
        List<Entry<String, RequestInfo>> searchRequests = initNativeSearchRequests(minTerms, maxTerms,
                NativeNaiveTFIDFScoreScript.NATIVE_NAIVE_TFIDF_SCRIPT_SCORE, true);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        results = new Results();

        results.init(maxTerms - minTerms, "term query dense posting list", "Results for term query with dense posting lists:", "green",
                "--");
        // init term queries
        searchRequests = initTermQueries(minTerms, maxTerms);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        if (runMVEL) {

            results = new Results();
            results.init(maxTerms - minTerms, "mvel tfidf dense posting list", "Results for mvel score with dense posting list:", "red",
                    "--");
            // init native script searches
            searchRequests = initNativeSearchRequests(
                    minTerms,
                    maxTerms,
                    "score = 0.0; fi= _terminfo[\"text\"]; for(i=0; i<text.size(); i++){terminfo = fi[text.get(i)]; score = score + terminfo.tf()*fi.getDocCount()/terminfo.df();} return score;",
                    false);
            // run actual benchmark
            runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
            allResults.add(results);
        }

        indexData(10000, client, true);
        results = new Results();
        results.init(maxTerms - minTerms, "native tfidf script score sparse posting list",
                "Results for native script scorewith sparse posting list:", "black", "-.");
        // init native script searches
        searchRequests = initNativeSearchRequests(minTerms, maxTerms, NativeNaiveTFIDFScoreScript.NATIVE_NAIVE_TFIDF_SCRIPT_SCORE, true);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        results = new Results();

        results.init(maxTerms - minTerms, "term query sparse posting list", "Results for term query with sparse posting lists:", "green",
                "-.");
        // init term queries
        searchRequests = initTermQueries(minTerms, maxTerms);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        if (runMVEL) {

            results = new Results();
            results.init(maxTerms - minTerms, "mvel tfidf sparse posting list", "Results for mvel score with sparse posting list:", "red",
                    "-.");
            // init native script searches
            searchRequests = initNativeSearchRequests(
                    minTerms,
                    maxTerms,
                    "score = 0.0; fi= _terminfo[\"text\"]; for(i=0; i<text.size(); i++){terminfo = fi[text.get(i)]; score = score + terminfo.tf()*fi.getDocCount()/terminfo.df();} return score;",
                    false);
            // run actual benchmark
            runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
            allResults.add(results);
        }
        printOctaveScript(allResults, args);

        client.close();
        node1.close();
    }
View Full Code Here

        init(maxTerms);
        List<Results> allResults = new ArrayList<>();
        Settings settings = settingsBuilder().put("plugin.types", NativeScriptExamplesPlugin.class.getName()).build();

        String clusterName = ScriptsConstantScoreBenchmark.class.getSimpleName();
        Node node1 = nodeBuilder().clusterName(clusterName).settings(settingsBuilder().put(settings).put("name", "node1")).node();
        Client client = node1.client();
        client.admin().cluster().prepareHealth("test").setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        indexData(10000, client, true);
        client.admin().cluster().prepareHealth("test").setWaitForGreenStatus().setTimeout("10s").execute().actionGet();

        Results results = new Results();

        results.init(maxTerms - minTerms, "native const script score (log(2) 10X)",
                "Results for native const script score with score = log(2) 10X:", "black", "-.");
        // init script searches
        List<Entry<String, RequestInfo>> searchRequests = initScriptMatchAllSearchRequests(
                NativeConstantForLoopScoreScript.NATIVE_CONSTANT_FOR_LOOP_SCRIPT_SCORE, true);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        // init native script searches
        results = new Results();
        results.init(maxTerms - minTerms, "mvel const (log(2) 10X)", "Results for mvel const score = log(2) 10X:", "red", "-.");
        searchRequests = initScriptMatchAllSearchRequests("score = 0; for (int i=0; i<10;i++) {score = score + log(2);} return score",
                false);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        results = new Results();
        results.init(maxTerms - minTerms, "native const script score (2)", "Results for native const script score with score = 2:",
                "black", ":");
        // init native script searches
        searchRequests = initScriptMatchAllSearchRequests(NativeConstantScoreScript.NATIVE_CONSTANT_SCRIPT_SCORE, true);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        results = new Results();
        results.init(maxTerms - minTerms, "mvel const (2)", "Results for mvel const score = 2:", "red", "--");
        // init native script searches
        searchRequests = initScriptMatchAllSearchRequests("2", false);
        // run actual benchmark
        runBenchmark(client, maxIter, results, searchRequests, minTerms, warmerIter);
        allResults.add(results);

        printOctaveScript(allResults, args);

        client.close();
        node1.close();
    }
View Full Code Here

        System.out.println("--> threaded average time: " + (totalThreadedTime.get() / (THREADS * QUERIES)) + "ms");
    }

    public static void main(String args[]) throws Exception {
        Node node = NodeBuilder.nodeBuilder().settings(ImmutableSettings.settingsBuilder()).node();
        final Client client = node.client();
        try {
            try {
                client.admin().indices().prepareDelete(INDEX).get();
            } catch (Exception e) {
                // Ignore
            }
            try {
                client.admin().indices().prepareCreate(INDEX).setSettings(
                        settingsBuilder().put("number_of_shards", 2).put("number_of_replicas", 0)).get();
            } catch (IndexAlreadyExistsException e) {}
            client.admin().cluster().prepareHealth().setWaitForYellowStatus().execute().actionGet();


            System.out.println("--> indexing: " + NUM_DOCS + " documents...");
            BulkRequestBuilder bulkBuilder = client.prepareBulk();
            for (int i = 0; i < NUM_DOCS; i++) {
                bulkBuilder.add(client.prepareIndex(INDEX, "doc").setSource("num", i));
                if (i % BULK_SIZE == 0) {
                    // Send off bulk request
                    bulkBuilder.get();
                    // Create a new holder
                    bulkBuilder = client.prepareBulk();
                }
            }
            bulkBuilder.get();
            client.admin().indices().prepareRefresh(INDEX).get();
            SearchResponse countResp = client.prepareSearch(INDEX).setQuery(matchAllQuery()).setSearchType(SearchType.COUNT).get();
            assert countResp.getHits().getTotalHits() == NUM_DOCS : "all docs should be indexed";

            final int warmupCount = 100;
            for (int i = 0; i < warmupCount; i++) {
                if (i % 15 == 0) {
                    System.out.println("--> warmup #" + i);
                }
                SearchResponse resp = client.prepareSearch(INDEX).setQuery(matchAllQuery())
                        .addAggregation(
                                terms("myterms")
                                        .size(AGG_SIZE)
                                        .field("num")
                        ).setSearchType(SearchType.COUNT).get();
                Terms terms = resp.getAggregations().get("myterms");
                assertNotNull("term aggs were calculated", terms);
            }

            System.out.println("--> running single-threaded tests");
            runSingleThreadedQueries(client);
            System.out.println("--> switching to NOOP breaker");
            switchToNoop(client);
            runSingleThreadedQueries(client);
            switchToMemory(client);

            System.out.println("--> running multi-threaded tests");
            runMultiThreadedQueries(client);
            System.out.println("--> switching to NOOP breaker");
            switchToNoop(client);
            runMultiThreadedQueries(client);
        } finally {
            client.close();
            node.stop();
        }
    }
View Full Code Here

public class SimpleGetActionBenchmark {

    public static void main(String[] args) {
        long OPERATIONS = SizeValue.parseSizeValue("300k").singles();

        Node node = NodeBuilder.nodeBuilder().node();

        Client client;
        if (false) {
            client = NodeBuilder.nodeBuilder().client(true).node().client();
        } else {
            client = node.client();
        }

        client.prepareIndex("test", "type1", "1").setSource("field1", "value1").execute().actionGet();

        StopWatch stopWatch = new StopWatch().start();
        for (long i = 0; i < OPERATIONS; i++) {
            client.prepareGet("test", "type1", "1").execute().actionGet();
        }
        stopWatch.stop();

        System.out.println("Ran in " + stopWatch.totalTime() + ", per second: " + (((double) OPERATIONS) / stopWatch.totalTime().secondsFrac()));

        node.close();
    }
View Full Code Here

                .put(SETTING_NUMBER_OF_SHARDS, 5)
                .put(SETTING_NUMBER_OF_REPLICAS, 0)
                .build();

        String clusterName = ManyMappingsBenchmark.class.getSimpleName();
        Node node = nodeBuilder().clusterName(clusterName)
                .settings(settingsBuilder().put(settings))
                .node();
        if (TWO_NODES) {
            Node node2 = nodeBuilder().clusterName(clusterName)
                    .settings(settingsBuilder().put(settings))
                    .node();
        }

        Client client = node.client();
View Full Code Here

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