Mercurial > dive4elements > river

annotate artifacts/src/main/java/org/dive4elements/river/artifacts/CollectionMonitor.java @ 7471:fff862f4ef76

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Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time. Hopefully this improves the overall speed of loading data from the datacage.
author Sascha L. Teichmann <teichmann@intevation.de>
date Wed, 30 Oct 2013 15:26:21 +0100
parents f16dce7a2407
children f8e1af4e2f69
rev   line source
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4897a58c8746 River artifacts: Added new copyright headers.
Sascha L. Teichmann <teichmann@intevation.de>
parents: 5838
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1 /* Copyright (C) 2011, 2012, 2013 by Bundesanstalt für Gewässerkunde
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2 * Software engineering by Intevation GmbH
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3 *
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4 * This file is Free Software under the GNU AGPL (>=v3)
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5 * and comes with ABSOLUTELY NO WARRANTY! Check out the
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6 * documentation coming with Dive4Elements River for details.
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7 */
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8
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9 package org.dive4elements.river.artifacts;
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10
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11 import java.util.HashMap;
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12 import java.util.List;
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13 import java.util.Map;
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14
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15 import net.sf.ehcache.Cache;
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16
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17 import org.w3c.dom.Document;
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18 import org.w3c.dom.Element;
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19 import org.w3c.dom.Node;
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20 import org.w3c.dom.NodeList;
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21
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22 import org.dive4elements.artifacts.Artifact;
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23 import org.dive4elements.artifacts.ArtifactNamespaceContext;
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24 import org.dive4elements.artifacts.CallContext;
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25 import org.dive4elements.artifacts.Hook;
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26
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27 import org.dive4elements.artifacts.common.utils.XMLUtils;
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28 import org.dive4elements.artifacts.common.utils.XMLUtils.ElementCreator;
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29
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30 import org.dive4elements.artifactdatabase.state.Output;
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31
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32 import org.dive4elements.river.artifacts.cache.CacheFactory;
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33 import org.dive4elements.river.artifacts.datacage.Recommendations;
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34
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35 /** Monitors collection changes. */
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36 public class CollectionMonitor implements Hook {
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37
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38 public static final String CACHE_NAME = "recommendations";
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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parents: 7464
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39
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40 @Override
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41 public void setup(Node cfg) {
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42 }
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43
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44
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45 @Override
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46 public void execute(Artifact artifact, CallContext context, Document doc) {
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47 D4EArtifact flys = (D4EArtifact) artifact;
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48
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49 // Do not generate recommendations for a loaded artifact.
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50 String out = flys.getBoundToOut();
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51 if (out != null && !out.isEmpty()) {
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52 return;
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53 }
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54
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55 NodeList results = doc.getElementsByTagNameNS(
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56 ArtifactNamespaceContext.NAMESPACE_URI, "result");
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57
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58 if (results.getLength() < 1) {
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59 return;
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60 }
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61
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62 Element result = (Element)results.item(0);
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63
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64 result.appendChild(getRecommendedElement(flys, context, doc));
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65 }
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66
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67 protected Element getRecommendedElement(
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68 D4EArtifact artifact,
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69 CallContext context,
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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70 Document doc
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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71 ) {
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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72 String [] outs = extractOutputNames(artifact, context);
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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parents: 7464
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73
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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parents: 7464
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74 Element recommendations = null;
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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parents: 7464
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75
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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76 Cache cache = CacheFactory.getCache(CACHE_NAME);
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77
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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78 if (cache != null) {
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79 String key = generateCacheKey(artifact, outs);
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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80
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81 net.sf.ehcache.Element ce = cache.get(key);
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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82 if (ce != null) { // Found in cache.
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83 Element e = (Element)ce.getValue();
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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84 // Sync to avoid thread issues with XML DOM docs.
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85 synchronized (e.getOwnerDocument()) {
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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86 recommendations = (Element)doc.importNode(e, true);
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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87 }
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88 } else { // Not found in cache -> generate it.
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89 Element r = createElement(XMLUtils.newDocument());
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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90
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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91 Recommendations.getInstance().recommend(
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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92 artifact, null, outs,
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93 getNoneUserSpecificParameters(artifact, context), r);
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94
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95 recommendations = (Element)doc.importNode(r, true);
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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96
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97 cache.put(new net.sf.ehcache.Element(key, r));
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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98 }
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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99 } else { // No cache configured -> append directly.
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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100
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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101 recommendations = createElement(doc);
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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102
fff862f4ef76 Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time.
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103 Recommendations.getInstance().recommend(
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104 artifact, null, outs,
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105 getNoneUserSpecificParameters(artifact, context),
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106 recommendations);
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107 }
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108
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109 return recommendations;
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110 }
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111
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112 private static final Element createElement(Document doc) {
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113 ElementCreator creator = new ElementCreator(
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114 doc,
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115 ArtifactNamespaceContext.NAMESPACE_URI,
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116 ArtifactNamespaceContext.NAMESPACE_PREFIX);
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117
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118 return creator.create("recommended-artifacts");
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119 }
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120
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121 private static final String generateCacheKey(D4EArtifact artifact, String [] outs) {
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122 StringBuilder sb = new StringBuilder(artifact.hash());
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123 // XXX: The hash really should be unique enough.
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124 for (String out: outs) {
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125 sb.append(';').append(out);
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126 }
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127 return sb.toString();
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128 }
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129
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130
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131 /**
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132 * Get outputnames from current state (only the ones for which
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133 * facets exist).
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134 */
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135 private static final String [] extractOutputNames(
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136 D4EArtifact flys,
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137 CallContext context)
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138 {
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139 if (flys instanceof ChartArtifact) {
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140 return new String[0];
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141 }
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142
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143 List<Output> outs = flys.getCurrentOutputs(context);
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144
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145 int num = outs == null ? 0 : outs.size();
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146
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147 String[] names = new String[num];
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148
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149 for (int i = 0; i < num; i++) {
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150 names[i] = outs.get(i).getName();
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151 }
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152
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153 return names;
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154 }
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155
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156
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157 /**
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158 * Creates Map from Strings "recommended" to "true".
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159 */
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160 private static final Map<String, Object> getNoneUserSpecificParameters(
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161 D4EArtifact flys,
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162 CallContext context)
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163 {
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164 Map<String, Object> params = new HashMap<String, Object>();
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165 params.put("recommended", "true");
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166
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167 return params;
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168 }
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169 }
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170 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :
http://dive4elements.wald.intevation.org