Add compare_ip operator udfs #3821
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| /* | ||
| * Copyright OpenSearch Contributors | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| */ | ||
|
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| package org.opensearch.sql.expression.function.udf.ip; | ||
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| import inet.ipaddr.IPAddress; | ||
| import java.util.List; | ||
| import org.apache.calcite.adapter.enumerable.NotNullImplementor; | ||
| import org.apache.calcite.adapter.enumerable.NullPolicy; | ||
| import org.apache.calcite.adapter.enumerable.RexToLixTranslator; | ||
| import org.apache.calcite.linq4j.tree.Expression; | ||
| import org.apache.calcite.linq4j.tree.Expressions; | ||
| import org.apache.calcite.rex.RexCall; | ||
| import org.apache.calcite.sql.type.*; | ||
| import org.opensearch.sql.data.model.ExprIpValue; | ||
| import org.opensearch.sql.exception.SemanticCheckException; | ||
| import org.opensearch.sql.expression.function.ImplementorUDF; | ||
| import org.opensearch.sql.expression.function.UDFOperandMetadata; | ||
| import org.opensearch.sql.utils.IPUtils; | ||
|
|
||
| /** | ||
| * {@code Equals(ip1, ip2)} checks if two IP addresses are equal. | ||
| * | ||
| * <p>Signature: | ||
| * | ||
| * <ul> | ||
| * <li>(STRING, STRING) -> BOOLEAN | ||
| * <li>(IP, STRING) -> BOOLEAN | ||
| * <li>(STRING, IP) -> BOOLEAN | ||
| * <li>(IP, IP) -> BOOLEAN | ||
| * </ul> | ||
| */ | ||
| public class EqualsIpFunction extends ImplementorUDF { | ||
| public EqualsIpFunction() { | ||
| super(new EqualsImplementor(), NullPolicy.ANY); | ||
| } | ||
|
|
||
| @Override | ||
| public SqlReturnTypeInference getReturnTypeInference() { | ||
| return ReturnTypes.BOOLEAN_FORCE_NULLABLE; | ||
| } | ||
|
|
||
| @Override | ||
| public UDFOperandMetadata getOperandMetadata() { | ||
| return UDFOperandMetadata.wrap( | ||
| (CompositeOperandTypeChecker) | ||
| OperandTypes.family(SqlTypeFamily.STRING, SqlTypeFamily.NULL) | ||
| .or(OperandTypes.family(SqlTypeFamily.NULL, SqlTypeFamily.STRING)) | ||
| .or(OperandTypes.family(SqlTypeFamily.NULL, SqlTypeFamily.NULL))); | ||
| } | ||
|
|
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| public static class EqualsImplementor implements NotNullImplementor { | ||
| @Override | ||
| public Expression implement( | ||
| RexToLixTranslator translator, RexCall call, List<Expression> translatedOperands) { | ||
| return Expressions.call(EqualsImplementor.class, "Equals", translatedOperands); | ||
| } | ||
|
|
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| public static boolean Equals(String ip1, String ip2) { | ||
| try { | ||
| IPAddress ipAddress1 = IPUtils.toAddress(ip1); | ||
| IPAddress ipAddress2 = IPUtils.toAddress(ip2); | ||
| return IPUtils.compare(ipAddress1, ipAddress2) == 0; | ||
| } catch (SemanticCheckException e) { | ||
| return false; | ||
| } | ||
| } | ||
|
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| public static boolean Equals(String ip1, ExprIpValue ip2) { | ||
| String ipAddress2 = ip2.value(); | ||
| return Equals(ip1, ipAddress2); | ||
| } | ||
|
|
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| public static boolean Equals(ExprIpValue ip1, String ip2) { | ||
| String ipAddress1 = ip1.value(); | ||
| return Equals(ipAddress1, ip2); | ||
| } | ||
|
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| public static boolean Equals(ExprIpValue ip1, ExprIpValue ip2) { | ||
| String ipAddress1 = ip1.value(); | ||
| String ipAddress2 = ip2.value(); | ||
| return Equals(ipAddress1, ipAddress2); | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| /* | ||
| * Copyright OpenSearch Contributors | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| */ | ||
|
|
||
| package org.opensearch.sql.expression.function.udf.ip; | ||
|
|
||
| import inet.ipaddr.IPAddress; | ||
| import java.util.List; | ||
| import org.apache.calcite.adapter.enumerable.NotNullImplementor; | ||
| import org.apache.calcite.adapter.enumerable.NullPolicy; | ||
| import org.apache.calcite.adapter.enumerable.RexToLixTranslator; | ||
| import org.apache.calcite.linq4j.tree.Expression; | ||
| import org.apache.calcite.linq4j.tree.Expressions; | ||
| import org.apache.calcite.rex.RexCall; | ||
| import org.apache.calcite.sql.type.*; | ||
| import org.opensearch.sql.data.model.ExprIpValue; | ||
| import org.opensearch.sql.exception.SemanticCheckException; | ||
| import org.opensearch.sql.expression.function.ImplementorUDF; | ||
| import org.opensearch.sql.expression.function.UDFOperandMetadata; | ||
| import org.opensearch.sql.utils.IPUtils; | ||
|
|
||
| /** | ||
| * {@code Greater(ip1, ip2)} checks if ip1 is greater than ip2. | ||
| * | ||
| * <p>Signature: | ||
| * | ||
| * <ul> | ||
| * <li>(STRING, STRING) -> BOOLEAN | ||
| * <li>(IP, STRING) -> BOOLEAN | ||
| * <li>(STRING, IP) -> BOOLEAN | ||
| * <li>(IP, IP) -> BOOLEAN | ||
| * </ul> | ||
| */ | ||
| public class GreaterIpFunction extends ImplementorUDF { | ||
| public GreaterIpFunction() { | ||
| super(new GreaterImplementor(), NullPolicy.ANY); | ||
| } | ||
|
|
||
| @Override | ||
| public SqlReturnTypeInference getReturnTypeInference() { | ||
| return ReturnTypes.BOOLEAN_FORCE_NULLABLE; | ||
| } | ||
|
|
||
| @Override | ||
| public UDFOperandMetadata getOperandMetadata() { | ||
| return UDFOperandMetadata.wrap( | ||
| (CompositeOperandTypeChecker) | ||
| OperandTypes.family(SqlTypeFamily.STRING, SqlTypeFamily.NULL) | ||
| .or(OperandTypes.family(SqlTypeFamily.NULL, SqlTypeFamily.STRING)) | ||
| .or(OperandTypes.family(SqlTypeFamily.NULL, SqlTypeFamily.NULL))); | ||
| } | ||
|
|
||
| public static class GreaterImplementor implements NotNullImplementor { | ||
| @Override | ||
| public Expression implement( | ||
| RexToLixTranslator translator, RexCall call, List<Expression> translatedOperands) { | ||
| return Expressions.call(GreaterImplementor.class, "Greater", translatedOperands); | ||
| } | ||
|
|
||
| public static boolean Greater(String ip1, String ip2) { | ||
| try { | ||
| IPAddress ipAddress1 = IPUtils.toAddress(ip1); | ||
| IPAddress ipAddress2 = IPUtils.toAddress(ip2); | ||
| return IPUtils.compare(ipAddress1, ipAddress2) > 0; | ||
| } catch (SemanticCheckException e) { | ||
| return false; | ||
| } | ||
| } | ||
|
|
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| public static boolean Greater(String ip1, ExprIpValue ip2) { | ||
| String ipAddress2 = ip2.value(); | ||
| return Greater(ip1, ipAddress2); | ||
| } | ||
|
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| public static boolean Greater(ExprIpValue ip1, String ip2) { | ||
| String ipAddress1 = ip1.value(); | ||
| return Greater(ipAddress1, ip2); | ||
| } | ||
|
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| public static boolean Greater(ExprIpValue ip1, ExprIpValue ip2) { | ||
| String ipAddress1 = ip1.value(); | ||
| String ipAddress2 = ip2.value(); | ||
| return Greater(ipAddress1, ipAddress2); | ||
| } | ||
| } | ||
| } |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| /* | ||
| * Copyright OpenSearch Contributors | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| */ | ||
|
|
||
| package org.opensearch.sql.expression.function.udf.ip; | ||
|
|
||
| import inet.ipaddr.IPAddress; | ||
| import java.util.List; | ||
| import org.apache.calcite.adapter.enumerable.NotNullImplementor; | ||
| import org.apache.calcite.adapter.enumerable.NullPolicy; | ||
| import org.apache.calcite.adapter.enumerable.RexToLixTranslator; | ||
| import org.apache.calcite.linq4j.tree.Expression; | ||
| import org.apache.calcite.linq4j.tree.Expressions; | ||
| import org.apache.calcite.rex.RexCall; | ||
| import org.apache.calcite.sql.type.*; | ||
| import org.opensearch.sql.data.model.ExprIpValue; | ||
| import org.opensearch.sql.exception.SemanticCheckException; | ||
| import org.opensearch.sql.expression.function.ImplementorUDF; | ||
| import org.opensearch.sql.expression.function.UDFOperandMetadata; | ||
| import org.opensearch.sql.utils.IPUtils; | ||
|
|
||
| /** | ||
| * {@code Gte(ip1, ip2)} checks if ip1 is greater than or equals ip2. | ||
| * | ||
| * <p>Signature: | ||
| * | ||
| * <ul> | ||
| * <li>(STRING, STRING) -> BOOLEAN | ||
| * <li>(IP, STRING) -> BOOLEAN | ||
| * <li>(STRING, IP) -> BOOLEAN | ||
| * <li>(IP, IP) -> BOOLEAN | ||
| * </ul> | ||
| */ | ||
| public class GteIpFunction extends ImplementorUDF { | ||
| public GteIpFunction() { | ||
| super(new GteImplementor(), NullPolicy.ANY); | ||
| } | ||
|
|
||
| @Override | ||
| public SqlReturnTypeInference getReturnTypeInference() { | ||
| return ReturnTypes.BOOLEAN_FORCE_NULLABLE; | ||
| } | ||
|
|
||
| @Override | ||
| public UDFOperandMetadata getOperandMetadata() { | ||
| return UDFOperandMetadata.wrap( | ||
| (CompositeOperandTypeChecker) | ||
| OperandTypes.family(SqlTypeFamily.STRING, SqlTypeFamily.NULL) | ||
| .or(OperandTypes.family(SqlTypeFamily.NULL, SqlTypeFamily.STRING)) | ||
| .or(OperandTypes.family(SqlTypeFamily.NULL, SqlTypeFamily.NULL))); | ||
| } | ||
|
|
||
| public static class GteImplementor implements NotNullImplementor { | ||
| @Override | ||
| public Expression implement( | ||
| RexToLixTranslator translator, RexCall call, List<Expression> translatedOperands) { | ||
| return Expressions.call(GteImplementor.class, "Gte", translatedOperands); | ||
| } | ||
|
|
||
| public static boolean Gte(String ip1, String ip2) { | ||
| try { | ||
| IPAddress ipAddress1 = IPUtils.toAddress(ip1); | ||
| IPAddress ipAddress2 = IPUtils.toAddress(ip2); | ||
| return IPUtils.compare(ipAddress1, ipAddress2) >= 0; | ||
| } catch (SemanticCheckException e) { | ||
| return false; | ||
| } | ||
| } | ||
|
|
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| public static boolean Gte(String ip1, ExprIpValue ip2) { | ||
| String ipAddress2 = ip2.value(); | ||
| return Gte(ip1, ipAddress2); | ||
| } | ||
|
|
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| public static boolean Gte(ExprIpValue ip1, String ip2) { | ||
| String ipAddress1 = ip1.value(); | ||
| return Gte(ipAddress1, ip2); | ||
| } | ||
|
|
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| public static boolean Gte(ExprIpValue ip1, ExprIpValue ip2) { | ||
| String ipAddress1 = ip1.value(); | ||
| String ipAddress2 = ip2.value(); | ||
| return Gte(ipAddress1, ipAddress2); | ||
| } | ||
| } | ||
| } |
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Questions, Do we need to support IP as UDT in PPL engine?
In OpenSearch PPL, IP handling depends on index field type. CIDR-based filtering should use ip_range queries for ip fields, script pushdown / in-memory processing for keyword, text, and runtime string fields.