mirror of https://github.com/apache/druid.git
add backwards compatibility mode for multi-value string array null value coercion (#12210)
This commit is contained in:
parent
978b8f7dde
commit
f9b406c8f2
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@ -48,13 +48,19 @@ public class ExpressionProcessing
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@VisibleForTesting
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@VisibleForTesting
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public static void initializeForTests(@Nullable Boolean allowNestedArrays)
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public static void initializeForTests(@Nullable Boolean allowNestedArrays)
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{
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{
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INSTANCE = new ExpressionProcessingConfig(allowNestedArrays, null, null);
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INSTANCE = new ExpressionProcessingConfig(allowNestedArrays, null, null, null);
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}
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}
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@VisibleForTesting
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@VisibleForTesting
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public static void initializeForStrictBooleansTests(boolean useStrict)
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public static void initializeForStrictBooleansTests(boolean useStrict)
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{
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{
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INSTANCE = new ExpressionProcessingConfig(null, useStrict, null);
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INSTANCE = new ExpressionProcessingConfig(null, useStrict, null, null);
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}
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@VisibleForTesting
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public static void initializeForHomogenizeNullMultiValueStrings()
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{
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INSTANCE = new ExpressionProcessingConfig(null, null, null, true);
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}
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}
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/**
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/**
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@ -62,35 +68,47 @@ public class ExpressionProcessing
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*/
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*/
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public static boolean allowNestedArrays()
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public static boolean allowNestedArrays()
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{
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{
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// this should only be null in a unit test context
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checkInitialized();
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// in production this will be injected by the expression processing module
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if (INSTANCE == null) {
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throw new IllegalStateException(
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"Expressions module not initialized, call ExpressionProcessing.initializeForTests()"
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);
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}
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return INSTANCE.allowNestedArrays();
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return INSTANCE.allowNestedArrays();
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}
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}
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/**
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* All boolean expressions are {@link ExpressionType#LONG}
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*/
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public static boolean useStrictBooleans()
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public static boolean useStrictBooleans()
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{
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{
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// this should only be null in a unit test context, in production this will be injected by the null handling module
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checkInitialized();
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if (INSTANCE == null) {
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throw new IllegalStateException("ExpressionProcessing module not initialized, call ExpressionProcessing.initializeForTests()");
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}
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return INSTANCE.isUseStrictBooleans();
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return INSTANCE.isUseStrictBooleans();
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}
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}
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/**
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* All {@link ExprType#ARRAY} values will be converted to {@link ExpressionType#STRING} by their column selectors
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* (not within expression processing) to be treated as multi-value strings instead of native arrays.
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*/
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public static boolean processArraysAsMultiValueStrings()
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public static boolean processArraysAsMultiValueStrings()
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{
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checkInitialized();
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return INSTANCE.processArraysAsMultiValueStrings();
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}
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/**
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* All multi-value string expression input values of 'null', '[]', and '[null]' will be coerced to '[null]'. If false,
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* (the default) this will only be done when single value expressions are implicitly mapped across multi-value rows,
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* so that the single valued expression will always be evaluated with an input value of 'null'
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*/
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public static boolean isHomogenizeNullMultiValueStringArrays()
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{
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checkInitialized();
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return INSTANCE.isHomogenizeNullMultiValueStringArrays();
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}
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private static void checkInitialized()
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{
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{
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// this should only be null in a unit test context, in production this will be injected by the null handling module
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// this should only be null in a unit test context, in production this will be injected by the null handling module
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if (INSTANCE == null) {
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if (INSTANCE == null) {
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throw new IllegalStateException(
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throw new IllegalStateException(
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"ExpressionProcessing module not initialized, call ExpressionProcessing.initializeForTests()"
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"ExpressionProcessing module not initialized, call ExpressionProcessing.initializeForTests() or one of its variants"
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);
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);
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}
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}
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return INSTANCE.processArraysAsMultiValueStrings();
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}
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}
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}
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}
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@ -29,8 +29,11 @@ public class ExpressionProcessingConfig
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public static final String NESTED_ARRAYS_CONFIG_STRING = "druid.expressions.allowNestedArrays";
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public static final String NESTED_ARRAYS_CONFIG_STRING = "druid.expressions.allowNestedArrays";
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public static final String NULL_HANDLING_LEGACY_LOGICAL_OPS_STRING = "druid.expressions.useStrictBooleans";
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public static final String NULL_HANDLING_LEGACY_LOGICAL_OPS_STRING = "druid.expressions.useStrictBooleans";
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// Coerce arrays to multi value strings
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// Coerce arrays to multi value strings
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public static final String
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public static final String PROCESS_ARRAYS_AS_MULTIVALUE_STRINGS_CONFIG_STRING =
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PROCESS_ARRAYS_AS_MULTIVALUE_STRINGS_CONFIG_STRING = "druid.expressions.processArraysAsMultiValueStrings";
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"druid.expressions.processArraysAsMultiValueStrings";
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// Coerce 'null', '[]', and '[null]' into '[null]' for backwards compat with 0.22 and earlier
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public static final String HOMOGENIZE_NULL_MULTIVALUE_STRING_ARRAYS =
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"druid.expressions.homogenizeNullMultiValueStringArrays";
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@JsonProperty("allowNestedArrays")
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@JsonProperty("allowNestedArrays")
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private final boolean allowNestedArrays;
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private final boolean allowNestedArrays;
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@ -41,27 +44,27 @@ public class ExpressionProcessingConfig
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@JsonProperty("processArraysAsMultiValueStrings")
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@JsonProperty("processArraysAsMultiValueStrings")
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private final boolean processArraysAsMultiValueStrings;
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private final boolean processArraysAsMultiValueStrings;
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@JsonProperty("homogenizeNullMultiValueStringArrays")
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private final boolean homogenizeNullMultiValueStringArrays;
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@JsonCreator
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@JsonCreator
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public ExpressionProcessingConfig(
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public ExpressionProcessingConfig(
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@JsonProperty("allowNestedArrays") @Nullable Boolean allowNestedArrays,
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@JsonProperty("allowNestedArrays") @Nullable Boolean allowNestedArrays,
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@JsonProperty("useStrictBooleans") @Nullable Boolean useStrictBooleans,
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@JsonProperty("useStrictBooleans") @Nullable Boolean useStrictBooleans,
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@JsonProperty("processArraysAsMultiValueStrings") @Nullable Boolean processArraysAsMultiValueStrings
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@JsonProperty("processArraysAsMultiValueStrings") @Nullable Boolean processArraysAsMultiValueStrings,
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@JsonProperty("homogenizeNullMultiValueStringArrays") @Nullable Boolean homogenizeNullMultiValueStringArrays
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)
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)
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{
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{
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this.allowNestedArrays = allowNestedArrays == null
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this.allowNestedArrays = getWithPropertyFallbackFalse(allowNestedArrays, NESTED_ARRAYS_CONFIG_STRING);
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? Boolean.valueOf(System.getProperty(NESTED_ARRAYS_CONFIG_STRING, "false"))
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this.useStrictBooleans = getWithPropertyFallbackFalse(useStrictBooleans, NULL_HANDLING_LEGACY_LOGICAL_OPS_STRING);
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: allowNestedArrays;
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this.processArraysAsMultiValueStrings = getWithPropertyFallbackFalse(
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if (useStrictBooleans == null) {
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processArraysAsMultiValueStrings,
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this.useStrictBooleans = Boolean.parseBoolean(
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PROCESS_ARRAYS_AS_MULTIVALUE_STRINGS_CONFIG_STRING
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System.getProperty(NULL_HANDLING_LEGACY_LOGICAL_OPS_STRING, "false")
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);
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this.homogenizeNullMultiValueStringArrays = getWithPropertyFallbackFalse(
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homogenizeNullMultiValueStringArrays,
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HOMOGENIZE_NULL_MULTIVALUE_STRING_ARRAYS
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);
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);
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} else {
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this.useStrictBooleans = useStrictBooleans;
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}
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this.processArraysAsMultiValueStrings
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= processArraysAsMultiValueStrings == null
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? Boolean.valueOf(System.getProperty(PROCESS_ARRAYS_AS_MULTIVALUE_STRINGS_CONFIG_STRING, "false"))
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: processArraysAsMultiValueStrings;
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}
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}
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public boolean allowNestedArrays()
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public boolean allowNestedArrays()
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@ -78,4 +81,14 @@ public class ExpressionProcessingConfig
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{
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{
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return processArraysAsMultiValueStrings;
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return processArraysAsMultiValueStrings;
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}
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}
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public boolean isHomogenizeNullMultiValueStringArrays()
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{
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return homogenizeNullMultiValueStringArrays;
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}
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private static boolean getWithPropertyFallbackFalse(@Nullable Boolean value, String property)
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{
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return value != null ? value : Boolean.valueOf(System.getProperty(property, "false"));
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}
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}
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}
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@ -28,6 +28,7 @@ import org.apache.druid.java.util.common.NonnullPair;
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import org.apache.druid.java.util.common.Pair;
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import org.apache.druid.java.util.common.Pair;
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import org.apache.druid.math.expr.Expr;
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import org.apache.druid.math.expr.Expr;
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import org.apache.druid.math.expr.ExprEval;
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import org.apache.druid.math.expr.ExprEval;
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import org.apache.druid.math.expr.ExpressionProcessing;
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import org.apache.druid.math.expr.ExpressionType;
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import org.apache.druid.math.expr.ExpressionType;
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import org.apache.druid.math.expr.InputBindings;
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import org.apache.druid.math.expr.InputBindings;
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import org.apache.druid.query.dimension.DefaultDimensionSpec;
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import org.apache.druid.query.dimension.DefaultDimensionSpec;
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@ -256,30 +257,43 @@ public class ExpressionSelectors
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final List<String> columns = plan.getAnalysis().getRequiredBindingsList();
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final List<String> columns = plan.getAnalysis().getRequiredBindingsList();
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final Map<String, Pair<ExpressionType, Supplier<Object>>> suppliers = new HashMap<>();
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final Map<String, Pair<ExpressionType, Supplier<Object>>> suppliers = new HashMap<>();
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for (String columnName : columns) {
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for (String columnName : columns) {
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final ColumnCapabilities columnCapabilities = columnSelectorFactory.getColumnCapabilities(columnName);
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final ColumnCapabilities capabilities = columnSelectorFactory.getColumnCapabilities(columnName);
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final boolean multiVal = columnCapabilities != null && columnCapabilities.hasMultipleValues().isTrue();
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final boolean multiVal = capabilities != null && capabilities.hasMultipleValues().isTrue();
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final Supplier<Object> supplier;
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final Supplier<Object> supplier;
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final ExpressionType expressionType = ExpressionType.fromColumnType(columnCapabilities);
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final ExpressionType expressionType = ExpressionType.fromColumnType(capabilities);
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if (columnCapabilities == null ||
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final boolean useObjectSupplierForMultiValueStringArray =
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columnCapabilities.isArray() ||
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capabilities != null
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(plan.is(ExpressionPlan.Trait.NON_SCALAR_OUTPUT) && !plan.is(ExpressionPlan.Trait.NEEDS_APPLIED))
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// if homogenizing null multi-value string arrays, or if a single valued function that must be applied across
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) {
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// multi-value rows, we can just use the dimension selector, which has the homogenization behavior built-in
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// Unknown ValueType or array type. Try making an Object selector and see if that gives us anything useful.
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&& ((!capabilities.is(ValueType.STRING))
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|| (capabilities.is(ValueType.STRING)
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&& !ExpressionProcessing.isHomogenizeNullMultiValueStringArrays()
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&& !plan.is(ExpressionPlan.Trait.NEEDS_APPLIED)
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)
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)
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// expression has array output
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&& plan.is(ExpressionPlan.Trait.NON_SCALAR_OUTPUT);
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final boolean homogenizeNullMultiValueStringArrays =
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plan.is(ExpressionPlan.Trait.NEEDS_APPLIED) || ExpressionProcessing.isHomogenizeNullMultiValueStringArrays();
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if (capabilities == null || capabilities.isArray() || useObjectSupplierForMultiValueStringArray) {
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// Unknown type, array type, or output array uses an Object selector and see if that gives anything useful
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supplier = supplierFromObjectSelector(
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supplier = supplierFromObjectSelector(
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columnSelectorFactory.makeColumnValueSelector(columnName),
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columnSelectorFactory.makeColumnValueSelector(columnName),
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plan.is(ExpressionPlan.Trait.NEEDS_APPLIED)
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homogenizeNullMultiValueStringArrays
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);
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);
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} else if (columnCapabilities.is(ValueType.FLOAT)) {
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} else if (capabilities.is(ValueType.FLOAT)) {
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ColumnValueSelector<?> selector = columnSelectorFactory.makeColumnValueSelector(columnName);
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ColumnValueSelector<?> selector = columnSelectorFactory.makeColumnValueSelector(columnName);
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supplier = makeNullableNumericSupplier(selector, selector::getFloat);
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supplier = makeNullableNumericSupplier(selector, selector::getFloat);
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} else if (columnCapabilities.is(ValueType.LONG)) {
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} else if (capabilities.is(ValueType.LONG)) {
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ColumnValueSelector<?> selector = columnSelectorFactory.makeColumnValueSelector(columnName);
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ColumnValueSelector<?> selector = columnSelectorFactory.makeColumnValueSelector(columnName);
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supplier = makeNullableNumericSupplier(selector, selector::getLong);
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supplier = makeNullableNumericSupplier(selector, selector::getLong);
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} else if (columnCapabilities.is(ValueType.DOUBLE)) {
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} else if (capabilities.is(ValueType.DOUBLE)) {
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ColumnValueSelector<?> selector = columnSelectorFactory.makeColumnValueSelector(columnName);
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ColumnValueSelector<?> selector = columnSelectorFactory.makeColumnValueSelector(columnName);
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supplier = makeNullableNumericSupplier(selector, selector::getDouble);
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supplier = makeNullableNumericSupplier(selector, selector::getDouble);
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} else if (columnCapabilities.is(ValueType.STRING)) {
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} else if (capabilities.is(ValueType.STRING)) {
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supplier = supplierFromDimensionSelector(
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supplier = supplierFromDimensionSelector(
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columnSelectorFactory.makeDimensionSelector(new DefaultDimensionSpec(columnName, columnName)),
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columnSelectorFactory.makeDimensionSelector(new DefaultDimensionSpec(columnName, columnName)),
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multiVal
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multiVal
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@ -33,6 +33,7 @@ import org.apache.druid.java.util.common.DateTimes;
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import org.apache.druid.java.util.common.FileUtils;
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import org.apache.druid.java.util.common.FileUtils;
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import org.apache.druid.java.util.common.granularity.Granularities;
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import org.apache.druid.java.util.common.granularity.Granularities;
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import org.apache.druid.java.util.common.guava.Sequence;
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import org.apache.druid.java.util.common.guava.Sequence;
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import org.apache.druid.math.expr.ExpressionProcessing;
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import org.apache.druid.query.aggregation.AggregationTestHelper;
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import org.apache.druid.query.aggregation.AggregationTestHelper;
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import org.apache.druid.query.aggregation.CountAggregatorFactory;
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import org.apache.druid.query.aggregation.CountAggregatorFactory;
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import org.apache.druid.query.dimension.DefaultDimensionSpec;
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import org.apache.druid.query.dimension.DefaultDimensionSpec;
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@ -502,6 +503,57 @@ public class MultiValuedDimensionTest extends InitializedNullHandlingTest
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TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi");
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TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi");
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}
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}
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@Test
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public void testGroupByExpressionMultiMultiBackwardsCompat0dot22andOlder()
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{
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try {
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ExpressionProcessing.initializeForHomogenizeNullMultiValueStrings();
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if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
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expectedException.expect(RuntimeException.class);
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expectedException.expectMessage("GroupBy v1 does not support dimension selectors with unknown cardinality.");
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}
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GroupByQuery query = GroupByQuery
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.builder()
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.setDataSource("xx")
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.setQuerySegmentSpec(new LegacySegmentSpec("1970/3000"))
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.setGranularity(Granularities.ALL)
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.setDimensions(new DefaultDimensionSpec("texpr", "texpr"))
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.setVirtualColumns(
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new ExpressionVirtualColumn(
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"texpr",
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"cartesian_map((x,y) -> concat(x, y), tags, othertags)",
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ColumnType.STRING,
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TestExprMacroTable.INSTANCE
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)
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)
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.setLimit(5)
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.setAggregatorSpecs(new CountAggregatorFactory("count"))
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.setContext(context)
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.build();
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Sequence<ResultRow> result = helper.runQueryOnSegmentsObjs(
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ImmutableList.of(
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new QueryableIndexSegment(queryableIndex, SegmentId.dummy("sid1")),
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new IncrementalIndexSegment(incrementalIndex, SegmentId.dummy("sid2"))
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),
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query
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);
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List<ResultRow> expectedResults = Arrays.asList(
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GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u1", "count", 2L),
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GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t1u2", "count", 2L),
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GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u1", "count", 2L),
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GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t2u2", "count", 2L),
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GroupByQueryRunnerTestHelper.createExpectedRow(query, "1970", "texpr", "t3u1", "count", 2L)
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);
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TestHelper.assertExpectedObjects(expectedResults, result.toList(), "expr-multi-multi");
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}
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finally {
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ExpressionProcessing.initializeForTests(null);
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}
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}
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@Test
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@Test
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public void testGroupByExpressionMultiMultiAuto()
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public void testGroupByExpressionMultiMultiAuto()
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{
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{
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@ -21,7 +21,6 @@ package org.apache.druid.sql.calcite;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableList;
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import com.google.common.collect.ImmutableSet;
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import com.google.common.collect.ImmutableSet;
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import junitparams.JUnitParamsRunner;
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import org.apache.druid.common.config.NullHandling;
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import org.apache.druid.common.config.NullHandling;
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import org.apache.druid.java.util.common.HumanReadableBytes;
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import org.apache.druid.java.util.common.HumanReadableBytes;
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import org.apache.druid.java.util.common.IAE;
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import org.apache.druid.java.util.common.IAE;
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@ -56,7 +55,6 @@ import org.apache.druid.segment.join.JoinType;
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import org.apache.druid.sql.calcite.filtration.Filtration;
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import org.apache.druid.sql.calcite.filtration.Filtration;
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import org.apache.druid.sql.calcite.util.CalciteTests;
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import org.apache.druid.sql.calcite.util.CalciteTests;
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import org.junit.Test;
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import org.junit.Test;
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import org.junit.runner.RunWith;
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import java.util.Arrays;
|
import java.util.Arrays;
|
||||||
import java.util.Collections;
|
import java.util.Collections;
|
||||||
|
@ -65,7 +63,6 @@ import java.util.List;
|
||||||
/**
|
/**
|
||||||
* Tests for array functions and array types
|
* Tests for array functions and array types
|
||||||
*/
|
*/
|
||||||
@RunWith(JUnitParamsRunner.class)
|
|
||||||
public class CalciteArraysQueryTest extends BaseCalciteQueryTest
|
public class CalciteArraysQueryTest extends BaseCalciteQueryTest
|
||||||
{
|
{
|
||||||
// test some query stuffs, sort of limited since no native array column types so either need to use constructor or
|
// test some query stuffs, sort of limited since no native array column types so either need to use constructor or
|
||||||
|
|
|
@ -21,9 +21,9 @@ package org.apache.druid.sql.calcite;
|
||||||
|
|
||||||
import com.google.common.collect.ImmutableList;
|
import com.google.common.collect.ImmutableList;
|
||||||
import com.google.common.collect.ImmutableSet;
|
import com.google.common.collect.ImmutableSet;
|
||||||
import junitparams.JUnitParamsRunner;
|
|
||||||
import org.apache.druid.common.config.NullHandling;
|
import org.apache.druid.common.config.NullHandling;
|
||||||
import org.apache.druid.java.util.common.granularity.Granularities;
|
import org.apache.druid.java.util.common.granularity.Granularities;
|
||||||
|
import org.apache.druid.math.expr.ExpressionProcessing;
|
||||||
import org.apache.druid.query.Druids;
|
import org.apache.druid.query.Druids;
|
||||||
import org.apache.druid.query.aggregation.LongSumAggregatorFactory;
|
import org.apache.druid.query.aggregation.LongSumAggregatorFactory;
|
||||||
import org.apache.druid.query.dimension.DefaultDimensionSpec;
|
import org.apache.druid.query.dimension.DefaultDimensionSpec;
|
||||||
|
@ -42,11 +42,9 @@ import org.apache.druid.sql.SqlPlanningException;
|
||||||
import org.apache.druid.sql.calcite.filtration.Filtration;
|
import org.apache.druid.sql.calcite.filtration.Filtration;
|
||||||
import org.apache.druid.sql.calcite.util.CalciteTests;
|
import org.apache.druid.sql.calcite.util.CalciteTests;
|
||||||
import org.junit.Test;
|
import org.junit.Test;
|
||||||
import org.junit.runner.RunWith;
|
|
||||||
|
|
||||||
import java.util.List;
|
import java.util.List;
|
||||||
|
|
||||||
@RunWith(JUnitParamsRunner.class)
|
|
||||||
public class CalciteMultiValueStringQueryTest extends BaseCalciteQueryTest
|
public class CalciteMultiValueStringQueryTest extends BaseCalciteQueryTest
|
||||||
{
|
{
|
||||||
// various queries on multi-valued string dimensions using them like strings
|
// various queries on multi-valued string dimensions using them like strings
|
||||||
|
@ -655,6 +653,70 @@ public class CalciteMultiValueStringQueryTest extends BaseCalciteQueryTest
|
||||||
);
|
);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
public void testMultiValueStringConcatBackwardsCompat0dot22andOlder() throws Exception
|
||||||
|
{
|
||||||
|
try {
|
||||||
|
ExpressionProcessing.initializeForHomogenizeNullMultiValueStrings();
|
||||||
|
// Cannot vectorize due to usage of expressions.
|
||||||
|
cannotVectorize();
|
||||||
|
|
||||||
|
ImmutableList<Object[]> results;
|
||||||
|
if (useDefault) {
|
||||||
|
results = ImmutableList.of(
|
||||||
|
new Object[]{"", 6L},
|
||||||
|
new Object[]{"b", 4L},
|
||||||
|
new Object[]{"a", 2L},
|
||||||
|
new Object[]{"c", 2L},
|
||||||
|
new Object[]{"d", 2L}
|
||||||
|
);
|
||||||
|
} else {
|
||||||
|
results = ImmutableList.of(
|
||||||
|
new Object[]{null, 4L},
|
||||||
|
new Object[]{"b", 4L},
|
||||||
|
new Object[]{"", 2L},
|
||||||
|
new Object[]{"a", 2L},
|
||||||
|
new Object[]{"c", 2L},
|
||||||
|
new Object[]{"d", 2L}
|
||||||
|
);
|
||||||
|
}
|
||||||
|
testQuery(
|
||||||
|
"SELECT MV_CONCAT(dim3, dim3), SUM(cnt) FROM druid.numfoo GROUP BY 1 ORDER BY 2 DESC",
|
||||||
|
ImmutableList.of(
|
||||||
|
GroupByQuery.builder()
|
||||||
|
.setDataSource(CalciteTests.DATASOURCE3)
|
||||||
|
.setInterval(querySegmentSpec(Filtration.eternity()))
|
||||||
|
.setGranularity(Granularities.ALL)
|
||||||
|
.setVirtualColumns(expressionVirtualColumn(
|
||||||
|
"v0",
|
||||||
|
"array_concat(\"dim3\",\"dim3\")",
|
||||||
|
ColumnType.STRING
|
||||||
|
))
|
||||||
|
.setDimensions(
|
||||||
|
dimensions(
|
||||||
|
new DefaultDimensionSpec("v0", "_d0", ColumnType.STRING)
|
||||||
|
)
|
||||||
|
)
|
||||||
|
.setAggregatorSpecs(aggregators(new LongSumAggregatorFactory("a0", "cnt")))
|
||||||
|
.setLimitSpec(new DefaultLimitSpec(
|
||||||
|
ImmutableList.of(new OrderByColumnSpec(
|
||||||
|
"a0",
|
||||||
|
OrderByColumnSpec.Direction.DESCENDING,
|
||||||
|
StringComparators.NUMERIC
|
||||||
|
)),
|
||||||
|
Integer.MAX_VALUE
|
||||||
|
))
|
||||||
|
.setContext(QUERY_CONTEXT_DEFAULT)
|
||||||
|
.build()
|
||||||
|
),
|
||||||
|
results
|
||||||
|
);
|
||||||
|
}
|
||||||
|
finally {
|
||||||
|
ExpressionProcessing.initializeForTests(null);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
public void testMultiValueStringOffset() throws Exception
|
public void testMultiValueStringOffset() throws Exception
|
||||||
{
|
{
|
||||||
|
|
|
@ -20,7 +20,6 @@
|
||||||
package org.apache.druid.sql.calcite;
|
package org.apache.druid.sql.calcite;
|
||||||
|
|
||||||
import com.google.common.collect.ImmutableList;
|
import com.google.common.collect.ImmutableList;
|
||||||
import junitparams.JUnitParamsRunner;
|
|
||||||
import org.apache.calcite.avatica.SqlType;
|
import org.apache.calcite.avatica.SqlType;
|
||||||
import org.apache.druid.common.config.NullHandling;
|
import org.apache.druid.common.config.NullHandling;
|
||||||
import org.apache.druid.java.util.common.DateTimes;
|
import org.apache.druid.java.util.common.DateTimes;
|
||||||
|
@ -43,7 +42,6 @@ import org.apache.druid.sql.calcite.filtration.Filtration;
|
||||||
import org.apache.druid.sql.calcite.util.CalciteTests;
|
import org.apache.druid.sql.calcite.util.CalciteTests;
|
||||||
import org.apache.druid.sql.http.SqlParameter;
|
import org.apache.druid.sql.http.SqlParameter;
|
||||||
import org.junit.Test;
|
import org.junit.Test;
|
||||||
import org.junit.runner.RunWith;
|
|
||||||
|
|
||||||
import java.util.ArrayList;
|
import java.util.ArrayList;
|
||||||
import java.util.List;
|
import java.util.List;
|
||||||
|
@ -54,7 +52,6 @@ import java.util.List;
|
||||||
* were merely chosen to produce a selection of parameter types and positions within query expressions and have been
|
* were merely chosen to produce a selection of parameter types and positions within query expressions and have been
|
||||||
* renamed to reflect this
|
* renamed to reflect this
|
||||||
*/
|
*/
|
||||||
@RunWith(JUnitParamsRunner.class)
|
|
||||||
public class CalciteParameterQueryTest extends BaseCalciteQueryTest
|
public class CalciteParameterQueryTest extends BaseCalciteQueryTest
|
||||||
{
|
{
|
||||||
@Test
|
@Test
|
||||||
|
|
Loading…
Reference in New Issue