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o.a.s.h.RequestHandlerBase org.apache.solr.common.SolrException: org.apache.lucene.index.ExitableDirectoryReader$ExitingReaderException: The request took too long to iterate over terms. Timeout: timeoutAt: 946228173449902 (System.nanoTime(): 946228228181282), TermsEnum=org.apache.lucene.codecs.lucene90.blocktree.SegmentTermsEnum@691855df => org.apache.solr.common.SolrException: org.apache.lucene.index.ExitableDirectoryReader$ExitingReaderException: The request took too long to iterate over terms. Timeout: timeoutAt: 946228173449902 (System.nanoTime(): 946228228181282), TermsEnum=org.apache.lucene.codecs.lucene90.blocktree.SegmentTermsEnum@691855df
        at org.apache.solr.search.ReRankCollector.topDocs(ReRankCollector.java:163)
org.apache.solr.common.SolrException: org.apache.lucene.index.ExitableDirectoryReader$ExitingReaderException: The request took too long to iterate over terms. Timeout: timeoutAt: 946228173449902 (System.nanoTime(): 946228228181282), TermsEnum=org.apache.lucene.codecs.lucene90.blocktr

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import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;
import redis.clients.jedis.Transaction;

import java.util.List;

public class TransactionOpsExample {

    public static void main(String[] args) throws Exception {

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import csv
import requests
import sys
def GetMetrixNames(url):
    response = requests.get('{0}/api/v1/label/__name__/values'.format(url))
    names = response.json()['data']

    #Return metrix names
    return names

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import org.apache.spark.sql.functions._
import org.apache.spark.sql.SaveMode
import org.apache.hadoop.fs._
import org.apache.spark.scheduler.{SparkListener, SparkListenerTaskEnd}
import java.io._
import spark.implicits._
import java.util.Calendar
import java.text.SimpleDateFormat

var recordsWrittenCount = 0L

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import com.google.common.util.concurrent.MoreExecutors;
import com.lucidworks.apollo.component.ExecutorComponent;
import com.lucidworks.apollo.pipeline.*;
import com.lucidworks.apollo.pipeline.async.AbstractAsyncStageConfig;
import com.lucidworks.apollo.pipeline.async.AsyncStage;
import com.lucidworks.apollo.pipeline.async.AsyncStageConfig;

import java.util.concurrent.ExecutorService;

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<?xml version="1.0" encoding="UTF-8" ?>
<!--
 Licensed to the Apache Software Foundation (ASF) under one or more
 contributor license agreements.  See the NOTICE file distributed with
 this work for additional information regarding copyright ownership.
 The ASF licenses this file to You under the Apache License, Version 2.0
 (the "License"); you may not use this file except in compliance with
 the License.  You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

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package org.sfsu.cs.selectivesearch.common.distance

import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vector, Vectors}


/**
  * Created by rajanishivarajmaski1 on 4/2/17.
  * fork from spark-scala apis
  * * The cosine distance between two points: cosineDistance(a,b) = (a dot b)/(norm(a) * norm(b))
  */

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solr_j_index_sample

import org.apache.solr.client.solrj.SolrServerException;
import org.apache.solr.client.solrj.impl.CloudSolrClient;
import org.apache.solr.client.solrj.request.UpdateRequest;
import org.apache.solr.client.solrj.response.UpdateResponse;
import org.apache.solr.common.SolrInputDocument;

import java.io.IOException;
import java.text.DecimalFormat;

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 <searchComponent name="suggest" class="solr.SuggestComponent">
    <lst name="suggester">
      <str name="name">mySuggester</str>
      <str name="lookupImpl">FuzzyLookupFactory</str>
      <str name="storeDir">suggester_fuzzy_dir</str>
      <str name="weightField">price</str>

    <!-- Substitute these for the two above for another "flavor"
      <str name=”lookupImpl”>AnalyzingInfixLookupFactory</str>
      <str name=”indexPath”>suggester_infix_dir</str>

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  <requestHandler name="/select" class="solr.SearchHandler">
     <lst name="defaults">
      <str name="echoParams">explicit</str>
      <int name="rows">10</int>
           <!-- Spellcheck default. Solr will use suggestions from both the 'default' spellchecker
           and from the 'wordbreak' spellchecker and combine them.
           collations (re-written queries) can include a combination of
           corrections from both spellcheckers -->
      <str name="spellcheck.dictionary">default</str>
      <str name="spellcheck.dictionary">wordbreak</str>