[ML DataFrame] Reject Data Frame Ids containing upper case characters (#43145)
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@ -16,11 +16,11 @@ public final class DataFrameStrings {
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/**
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* Valid user id pattern.
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* Matches a string that contains characters, digits, hyphens, underscores or dots.
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* Matches a string that contains lowercase characters, digits, hyphens, underscores or dots.
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* The string may start and end only in characters or digits.
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* Note that '.' is allowed but not documented.
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*/
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private static final Pattern VALID_ID_CHAR_PATTERN = Pattern.compile("[a-zA-Z0-9](?:[a-zA-Z0-9_\\-\\.]*[a-zA-Z0-9])?");
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private static final Pattern VALID_ID_CHAR_PATTERN = Pattern.compile("[a-z0-9](?:[a-z0-9_\\-\\.]*[a-z0-9])?");
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public static final int ID_LENGTH_LIMIT = 64;
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@ -0,0 +1,37 @@
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/*
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* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
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* or more contributor license agreements. Licensed under the Elastic License;
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* you may not use this file except in compliance with the Elastic License.
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*/
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package org.elasticsearch.xpack.core.dataframe.utils;
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import org.elasticsearch.test.ESTestCase;
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public class DataFrameStringsTests extends ESTestCase {
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public void testValidId() {
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assertTrue(DataFrameStrings.isValidId("valid-_id"));
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}
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public void testValidId_givenUppercase() {
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assertFalse(DataFrameStrings.isValidId("MiXedCase"));
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}
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public void testValidId_givenStartsWithUnderScore() {
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assertFalse(DataFrameStrings.isValidId("_this_bit_is_ok"));
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}
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public void testKasValidLengthForId_givenTooLong() {
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StringBuilder sb = new StringBuilder();
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for (int i=0; i<DataFrameStrings.ID_LENGTH_LIMIT; i++) {
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sb.append('#');
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}
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assertTrue(DataFrameStrings.hasValidLengthForId(sb.toString()));
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sb.append('#');
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assertFalse(DataFrameStrings.hasValidLengthForId(sb.toString()));
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}
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}
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@ -53,7 +53,7 @@ public class DataFrameAuditorIT extends DataFrameRestTestCase {
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@SuppressWarnings("unchecked")
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public void testAuditorWritesAudits() throws Exception {
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String transformId = "simplePivotForAudit";
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String transformId = "simple_pivot_for_audit";
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String dataFrameIndex = "pivot_reviews_user_id_above_20";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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String query = "\"match\": {\"user_id\": \"user_26\"}";
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@ -64,7 +64,7 @@ public class DataFrameAuditorIT extends DataFrameRestTestCase {
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// Make sure we wrote to the audit
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final Request request = new Request("GET", DataFrameInternalIndex.AUDIT_INDEX + "/_search");
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request.setJsonEntity("{\"query\":{\"term\":{\"transform_id\":\"simplePivotForAudit\"}}}");
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request.setJsonEntity("{\"query\":{\"term\":{\"transform_id\":\"simple_pivot_for_audit\"}}}");
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assertBusy(() -> {
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assertTrue(indexExists(DataFrameInternalIndex.AUDIT_INDEX));
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});
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@ -160,7 +160,7 @@ public class DataFrameGetAndGetStatsIT extends DataFrameRestTestCase {
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@SuppressWarnings("unchecked")
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public void testGetProgressStatsWithPivotQuery() throws Exception {
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String transformId = "simpleStatsPivotWithQuery";
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String transformId = "simple_stats_pivot_with_query";
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String dataFrameIndex = "pivot_stats_reviews_user_id_above_20";
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String query = "\"match\": {\"user_id\": \"user_26\"}";
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createPivotReviewsTransform(transformId, dataFrameIndex, query);
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@ -169,7 +169,7 @@ public class DataFrameGetAndGetStatsIT extends DataFrameRestTestCase {
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// Alternate testing between admin and lowly user, as both should be able to get the configs and stats
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String authHeader = randomFrom(BASIC_AUTH_VALUE_DATA_FRAME_USER, BASIC_AUTH_VALUE_DATA_FRAME_ADMIN);
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Request getRequest = createRequestWithAuth("GET", DATAFRAME_ENDPOINT + "simpleStatsPivotWithQuery/_stats", authHeader);
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Request getRequest = createRequestWithAuth("GET", DATAFRAME_ENDPOINT + transformId + "/_stats", authHeader);
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Map<String, Object> stats = entityAsMap(client().performRequest(getRequest));
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assertEquals(1, XContentMapValues.extractValue("count", stats));
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List<Map<String, Object>> transformsStats = (List<Map<String, Object>>)XContentMapValues.extractValue("transforms", stats);
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@ -51,7 +51,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testSimplePivot() throws Exception {
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String transformId = "simplePivot";
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String transformId = "simple-pivot";
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String dataFrameIndex = "pivot_reviews";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -72,7 +72,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testSimplePivotWithQuery() throws Exception {
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String transformId = "simplePivotWithQuery";
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String transformId = "simple_pivot_with_query";
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String dataFrameIndex = "pivot_reviews_user_id_above_20";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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String query = "\"match\": {\"user_id\": \"user_26\"}";
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@ -88,7 +88,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testHistogramPivot() throws Exception {
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String transformId = "simpleHistogramPivot";
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String transformId = "simple_histogram_pivot";
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String dataFrameIndex = "pivot_reviews_via_histogram";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -126,7 +126,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testBiggerPivot() throws Exception {
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String transformId = "biggerPivot";
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String transformId = "bigger_pivot";
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String dataFrameIndex = "bigger_pivot_reviews";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -201,7 +201,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testDateHistogramPivot() throws Exception {
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String transformId = "simpleDateHistogramPivot";
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String transformId = "simple_date_histogram_pivot";
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String dataFrameIndex = "pivot_reviews_via_date_histogram";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -275,7 +275,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testPivotWithMaxOnDateField() throws Exception {
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String transformId = "simpleDateHistogramPivotWithMaxTime";
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String transformId = "simple_date_histogram_pivot_with_max_time";
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String dataFrameIndex = "pivot_reviews_via_date_histogram_with_max_time";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -322,7 +322,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testPivotWithScriptedMetricAgg() throws Exception {
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String transformId = "scriptedMetricPivot";
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String transformId = "scripted_metric_pivot";
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String dataFrameIndex = "scripted_metric_pivot_reviews";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -375,7 +375,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testPivotWithBucketScriptAgg() throws Exception {
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String transformId = "bucketScriptPivot";
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String transformId = "bucket_script_pivot";
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String dataFrameIndex = "bucket_script_pivot_reviews";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -426,7 +426,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testPivotWithGeoCentroidAgg() throws Exception {
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String transformId = "geoCentroidPivot";
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String transformId = "geo_centroid_pivot";
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String dataFrameIndex = "geo_centroid_pivot_reviews";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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@ -476,7 +476,7 @@ public class DataFramePivotRestIT extends DataFrameRestTestCase {
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}
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public void testPivotWithWeightedAvgAgg() throws Exception {
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String transformId = "weightedAvgAggTransform";
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String transformId = "weighted_avg_agg_transform";
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String dataFrameIndex = "weighted_avg_pivot_reviews";
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setupDataAccessRole(DATA_ACCESS_ROLE, REVIEWS_INDEX_NAME, dataFrameIndex);
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