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Support more than 1024 IP/masks with indexed field (opensearch-projec…
…t#16391) MultiRangeQuery for searching IP masks more 1025 masks in indexed field. --------- Signed-off-by: Mikhail Khludnev <[email protected]> Signed-off-by: Mikhail Khludnev <[email protected]> Co-authored-by: Andriy Redko <[email protected]>
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server/src/internalClusterTest/java/org/opensearch/search/fields/SearchIpFieldTermsIT.java
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/* | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* The OpenSearch Contributors require contributions made to | ||
* this file be licensed under the Apache-2.0 license or a | ||
* compatible open source license. | ||
*/ | ||
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package org.opensearch.search.fields; | ||
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import org.apache.lucene.search.IndexSearcher; | ||
import org.opensearch.action.bulk.BulkRequestBuilder; | ||
import org.opensearch.action.search.SearchPhaseExecutionException; | ||
import org.opensearch.action.search.SearchResponse; | ||
import org.opensearch.common.network.InetAddresses; | ||
import org.opensearch.common.xcontent.XContentFactory; | ||
import org.opensearch.core.xcontent.XContentBuilder; | ||
import org.opensearch.index.query.BoolQueryBuilder; | ||
import org.opensearch.index.query.QueryBuilders; | ||
import org.opensearch.index.query.TermsQueryBuilder; | ||
import org.opensearch.test.OpenSearchSingleNodeTestCase; | ||
import org.hamcrest.MatcherAssert; | ||
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import java.io.IOException; | ||
import java.net.InetAddress; | ||
import java.util.ArrayList; | ||
import java.util.Collection; | ||
import java.util.HashSet; | ||
import java.util.List; | ||
import java.util.Map; | ||
import java.util.Objects; | ||
import java.util.Set; | ||
import java.util.function.Consumer; | ||
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import static org.opensearch.action.support.WriteRequest.RefreshPolicy.IMMEDIATE; | ||
import static org.hamcrest.Matchers.equalTo; | ||
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public class SearchIpFieldTermsIT extends OpenSearchSingleNodeTestCase { | ||
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/** | ||
* @return number of expected matches | ||
* */ | ||
private int createIndex(String indexName, int numberOfMasks, List<String> queryTermsSink) throws IOException { | ||
XContentBuilder xcb = createMapping(); | ||
client().admin().indices().prepareCreate(indexName).setMapping(xcb).get(); | ||
ensureGreen(); | ||
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BulkRequestBuilder bulkRequestBuilder = client().prepareBulk(); | ||
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Set<String> dedupeCidrs = new HashSet<>(); | ||
int cidrs = 0; | ||
int ips = 0; | ||
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for (int i = 0; ips <= 10240 && cidrs < numberOfMasks && i < 1000000; i++) { | ||
String ip; | ||
int prefix; | ||
boolean mask; | ||
do { | ||
mask = ips > 0 && random().nextBoolean(); | ||
ip = generateRandomIPv4(); | ||
prefix = 24 + random().nextInt(8); // CIDR prefix for IPv4 | ||
} while (mask && !dedupeCidrs.add(getFirstThreeOctets(ip))); | ||
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bulkRequestBuilder.add( | ||
client().prepareIndex(indexName).setSource(Map.of("addr", ip, "dummy_filter", randomSubsetOf(1, "1", "2", "3"))) | ||
); | ||
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final String termToQuery; | ||
if (mask) { | ||
termToQuery = ip + "/" + prefix; | ||
cidrs++; | ||
} else { | ||
termToQuery = ip; | ||
ips++; | ||
} | ||
queryTermsSink.add(termToQuery); | ||
} | ||
int addMatches = 0; | ||
for (int i = 0; i < atLeast(100); i++) { | ||
final String ip; | ||
ip = generateRandomIPv4(); | ||
bulkRequestBuilder.add( | ||
client().prepareIndex(indexName).setSource(Map.of("addr", ip, "dummy_filter", randomSubsetOf(1, "1", "2", "3"))) | ||
); | ||
boolean match = false; | ||
for (String termQ : queryTermsSink) { | ||
boolean isCidr = termQ.contains("/"); | ||
if ((isCidr && isIPInCIDR(ip, termQ)) || (!isCidr && termQ.equals(ip))) { | ||
match = true; | ||
break; | ||
} | ||
} | ||
if (match) { | ||
addMatches++; | ||
} else { | ||
break; // single mismatch is enough. | ||
} | ||
} | ||
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bulkRequestBuilder.setRefreshPolicy(IMMEDIATE).get(); | ||
return ips + cidrs + addMatches; | ||
} | ||
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public void testLessThanMaxClauses() throws IOException { | ||
ArrayList<String> toQuery = new ArrayList<>(); | ||
String indexName = "small"; | ||
int expectMatches = createIndex(indexName, IndexSearcher.getMaxClauseCount() - 1, toQuery); | ||
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assertTermsHitCount(indexName, "addr", toQuery, expectMatches); | ||
assertTermsHitCount(indexName, "addr.idx", toQuery, expectMatches); | ||
assertTermsHitCount(indexName, "addr.dv", toQuery, expectMatches); | ||
// passing dummy filter crushes on rewriting | ||
SearchPhaseExecutionException ose = assertThrows(SearchPhaseExecutionException.class, () -> { | ||
assertTermsHitCount( | ||
indexName, | ||
"addr.dv", | ||
toQuery, | ||
expectMatches, | ||
(boolBuilder) -> boolBuilder.filter(QueryBuilders.termsQuery("dummy_filter", "1", "2", "3")) | ||
.filter(QueryBuilders.termsQuery("dummy_filter", "1", "2", "3", "4")) | ||
.filter(QueryBuilders.termsQuery("dummy_filter", "1", "2", "3", "4", "5")) | ||
); | ||
}); | ||
assertTrue("exceeding on query rewrite", ose.shardFailures()[0].getCause() instanceof IndexSearcher.TooManyNestedClauses); | ||
} | ||
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public void testExceedMaxClauses() throws IOException { | ||
ArrayList<String> toQuery = new ArrayList<>(); | ||
String indexName = "larger"; | ||
int expectMatches = createIndex(indexName, IndexSearcher.getMaxClauseCount() + (rarely() ? 0 : atLeast(10)), toQuery); | ||
assertTermsHitCount(indexName, "addr", toQuery, expectMatches); | ||
assertTermsHitCount(indexName, "addr.idx", toQuery, expectMatches); | ||
// error from mapper/parser | ||
final SearchPhaseExecutionException ose = assertThrows( | ||
SearchPhaseExecutionException.class, | ||
() -> assertTermsHitCount(indexName, "addr.dv", toQuery, expectMatches) | ||
); | ||
assertTrue("exceeding on query building", ose.shardFailures()[0].getCause().getCause() instanceof IndexSearcher.TooManyClauses); | ||
} | ||
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private static String getFirstThreeOctets(String ipAddress) { | ||
// Split the IP address by the dot delimiter | ||
String[] octets = ipAddress.split("\\."); | ||
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// Take the first three octets | ||
String[] firstThreeOctets = new String[3]; | ||
System.arraycopy(octets, 0, firstThreeOctets, 0, 3); | ||
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// Join the first three octets back together with dots | ||
return String.join(".", firstThreeOctets); | ||
} | ||
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private void assertTermsHitCount(String indexName, String field, Collection<String> toQuery, long expectedMatches) { | ||
assertTermsHitCount(indexName, field, toQuery, expectedMatches, (bqb) -> {}); | ||
} | ||
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private void assertTermsHitCount( | ||
String indexName, | ||
String field, | ||
Collection<String> toQuery, | ||
long expectedMatches, | ||
Consumer<BoolQueryBuilder> addFilter | ||
) { | ||
TermsQueryBuilder ipTerms = QueryBuilders.termsQuery(field, new ArrayList<>(toQuery)); | ||
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery(); | ||
addFilter.accept(boolQueryBuilder); | ||
SearchResponse result = client().prepareSearch(indexName).setQuery(boolQueryBuilder.must(ipTerms) | ||
// .filter(QueryBuilders.termsQuery("dummy_filter", "a", "b")) | ||
).get(); | ||
long hitsFound = Objects.requireNonNull(result.getHits().getTotalHits()).value; | ||
MatcherAssert.assertThat(field, hitsFound, equalTo(expectedMatches)); | ||
} | ||
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// Converts an IP string (either IPv4 or IPv6) to a byte array | ||
private static byte[] ipToBytes(String ip) { | ||
InetAddress inetAddress = InetAddresses.forString(ip); | ||
return inetAddress.getAddress(); | ||
} | ||
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// Checks if an IP is within a given CIDR (works for both IPv4 and IPv6) | ||
private static boolean isIPInCIDR(String ip, String cidr) { | ||
String[] cidrParts = cidr.split("/"); | ||
String cidrIp = cidrParts[0]; | ||
int prefixLength = Integer.parseInt(cidrParts[1]); | ||
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byte[] ipBytes = ipToBytes(ip); | ||
byte[] cidrIpBytes = ipToBytes(cidrIp); | ||
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// Calculate how many full bytes and how many bits are in the mask | ||
int fullBytes = prefixLength / 8; | ||
int extraBits = prefixLength % 8; | ||
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// Compare full bytes | ||
for (int i = 0; i < fullBytes; i++) { | ||
if (ipBytes[i] != cidrIpBytes[i]) { | ||
return false; | ||
} | ||
} | ||
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// Compare extra bits (if any) | ||
if (extraBits > 0) { | ||
int mask = 0xFF << (8 - extraBits); | ||
return (ipBytes[fullBytes] & mask) == (cidrIpBytes[fullBytes] & mask); | ||
} | ||
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return true; | ||
} | ||
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// Generate a random IPv4 address | ||
private String generateRandomIPv4() { | ||
return String.join( | ||
".", | ||
String.valueOf(random().nextInt(256)), | ||
String.valueOf(random().nextInt(256)), | ||
String.valueOf(random().nextInt(256)), | ||
String.valueOf(random().nextInt(256)) | ||
); | ||
} | ||
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private XContentBuilder createMapping() throws IOException { | ||
return XContentFactory.jsonBuilder() | ||
.startObject() | ||
.startObject("properties") | ||
.startObject("addr") | ||
.field("type", "ip") | ||
.startObject("fields") | ||
.startObject("idx") | ||
.field("type", "ip") | ||
.field("doc_values", false) | ||
.endObject() | ||
.startObject("dv") | ||
.field("type", "ip") | ||
.field("index", false) | ||
.endObject() | ||
.endObject() | ||
.endObject() | ||
.startObject("dummy_filter") | ||
.field("type", "keyword") | ||
.endObject() | ||
.endObject() | ||
.endObject(); | ||
} | ||
} |
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