I assume you finished Solr installation and created a core shown on my
previous post. I will also use address dataset explained on my
another post. So, it would be beneficial if you understand the dataset a little bit.
1. Create a schema.xml under a $SOLR_HOME/example/solr/addressDB/conf directory.
From the data files, I will use 19 fields to make one document. These fields should be defined as a <field> element in this file. This is the schema.xml I will use, and it is in
this repository. This is very simple version of a schema file for the simple example. To take an advantage of Solr's search capabilities, we need to update this file on a future post.
The field named '_version_' is for Solr's optimistic concurrent control, and it is assigned automatically when an add process is performed. For the update, you can retrieve the version along with other fields, update field(s), and pass the retrieved version when a document is updated (saved). When the existing document has a different version number, the Solr will generate an error for the update process.
When a field type is a string_ci, any space in the field value will be removed during an index creation and a search query run.
When a field type is a string_ng, any space and a comma in the field value will be removed during an index creation and a search query run. In addition to this, an EdegNGram filter will be applied during the index creation. Let's say maxGamSize=3 and a field value is 'my test', for example. In this case, this field value will have three indexes associated with it: 'm', 'my', and 'myt' (after eliminating space by the specified 'solr.PatternReplaceFilteerFactory'.) What it means that the field value 'my test' will be one of return values when a search query passes a 'my' (without quote).
2. On my
previous post, the Solr server showed an error because of non-existence of the schema.xml file. Now, you should see the Solr server with a core named addressDB.
Now, I will write a client application using SolrJ and populate documents on the Solr.
3. Download address dataset for our example. See a
previous post for the dataset.
4. Posting data to the Solr server from a Java client using SolrJ is simple. First of all, this is a pom.xml for the client project
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.jihwan.learn.solr</groupId>
<artifactId>address-db-client</artifactId>
<version>1.0</version>
<dependencies>
<dependency>
<groupId>org.apache.solr</groupId>
<artifactId>solr-solrj</artifactId>
<version>4.10.2</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.10</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>jcl-over-slf4j</artifactId>
<version>1.7.6</version>
</dependency>
</dependencies>
</project>
5. This is the
first version of a basic format of a Client process, and this format is shown on several tutorial pages.
SolrServer server = new HttpSolrServer("HOST_URL/solr/addressDB");
for(int i=1; i<=10000; i++){
SolrInputDocument doc = new SolrInputDocument();
doc.addField(.....);
doc.addField(.....);
server.add(doc);
if(i%200 == 0){
server.commit();
}
}
(** On version 5+, the HttpSolrServer object is deprecated. Need to use a HttpSolrClient object instead)
Unfortunately, this is extremely slow to load large data. On my MacBook Pro, only about 263,000 address data was processed in 10 minutes.
On my next post, I will show the next version of the client code after slight modification.
############################################################################
This is the first version of a Java client code.
package com.jihwan.learn.solr;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import org.apache.solr.client.solrj.SolrServer;
import org.apache.solr.client.solrj.SolrServerException;
import org.apache.solr.client.solrj.impl.HttpSolrServer;
import org.apache.solr.common.SolrInputDocument;
public class AddressClient {
// The directory where the address files located at.
private static final String FILE_DIR = “SOME_DIRECTORY/data/addressDB/";
public static void main(String[] args) throws FileNotFoundException {
SolrServer server = new HttpSolrServer("http://localhost:8983/solr/addressDB");
File folder = new File(FILE_DIR);
File[] listOfFiles = folder.listFiles();
File txtfile = null;
BufferedReader br = null;
try {
long startTime = System.currentTimeMillis();
int dataCount = 0;
for (File file : listOfFiles) {
if (file.isFile()) {
if (file.getName().endsWith(".txt")) {
String line;
System.out.println("Read a file " + file.getName());
txtfile = new File(FILE_DIR + file.getName());
br = new BufferedReader(new InputStreamReader(new FileInputStream(txtfile)));
// Dump headers
line = br.readLine(); // English
line = br.readLine(); // Korean
while ((line = br.readLine()) != null) {
SolrInputDocument doc = lineParser(line, ++dataCount);
server.add(doc);
if (dataCount % 1000 == 0) {
server.commit();
}
}
if (dataCount % 1000 != 0) {
server.commit();
}
br.close();
}
}
}
long endTime = System.currentTimeMillis();
System.out.println("Execution Time: " + (endTime-startTime));
}catch (IOException ioE) {
ioE.printStackTrace();
}catch (SolrServerException e) {
e.printStackTrace();
}finally {
try {
br.close();
}catch (IOException e) {
e.printStackTrace();
}
}
}
public static SolrInputDocument lineParser(String line, int id) {
String[] lineTerms = line.split("\\|");
int parseIndex = 0;
SolrInputDocument doc = new SolrInputDocument();
doc.addField("addressId", addressId);
doc.addField("areaCode", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("state", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("state_en", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("city", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("city_en", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("subCity", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("subCity_en", nonNullTrim(lineTerms[parseIndex++]));
parseIndex++; //Skip street_code
doc.addField("streetName", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("streetName_en", nonNullTrim(lineTerms[parseIndex++]));
parseIndex++; //Skip is_basement
String bldNumber = nonNullTrim(lineTerms[parseIndex++]);
if (!isEmpty(lineTerms[parseIndex])) {
bldNumber = bldNumber + "-" + lineTerms[parseIndex].trim();
}
parseIndex++;
doc.addField("buildingNumber", bldNumber);
parseIndex++; //Skip building_mgm_num
doc.addField("bulkDeliveryPlaceName", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("buildingName", nonNullTrim(lineTerms[parseIndex++]));
parseIndex++; //Skip legal_dong_code
doc.addField("dongName", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("riName", nonNullTrim(lineTerms[parseIndex++]));
doc.addField("adminDongName", nonNullTrim(lineTerms[parseIndex++]));
parseIndex++; // skip is_mountain
String grdNumber = nonNullTrim(lineTerms[parseIndex++]);
doc.addField("dongSeq", nonNullTrim(lineTerms[parseIndex++]));
if (!StringUtil.isEmpty(lineTerms[parseIndex])) {
grdNumber = grdNumber + "-" + lineTerms[parseIndex];
}
parseIndex++;
doc.addField("groundNumber", grdNumber);
doc.addField("postalCode", nonNullTrim(lineTerms[parseIndex++]));
return doc;
}
public static boolean isEmpty(String s) {
return s == null || s.trim().length() < 1;
}
public static String nonNullTrim(String value) {
return (isEmpty(value) ? null : value.trim());
}
}
