This is an automated email from the ASF dual-hosted git repository.

github-merge-queue[bot] pushed a commit to branch 
gh-readonly-queue/main/pr-5600-cd6053567094fcab1dfffd91e070411f64769d14
in repository https://gitbox.apache.org/repos/asf/texera.git

commit 6b4efe3aaeeadd5c1ce49d918214cbf7f9e3d77f
Author: Sarah Asad <[email protected]>
AuthorDate: Wed Jun 10 08:11:29 2026 -0700

    feat(operator): Add Case Sensitivity to Keyword Search Operator (#5600)
    
    <!--
    Thanks for sending a pull request (PR)! Here are some tips for you:
    1. If this is your first time, please read our contributor guidelines:
    [Contributing to
    Texera](https://github.com/apache/texera/blob/main/CONTRIBUTING.md)
      2. Ensure you have added or run the appropriate tests for your PR
      3. If the PR is work in progress, mark it a draft on GitHub.
      4. Please write your PR title to summarize what this PR proposes, we
        are following Conventional Commits style for PR titles as well.
      5. Be sure to keep the PR description updated to reflect all changes.
    -->
    
    ### What changes were proposed in this PR?
    <!--
    Please clarify what changes you are proposing. The purpose of this
    section
    is to outline the changes. Here are some tips for you:
      1. If you propose a new API, clarify the use case for a new API.
      2. If you fix a bug, you can clarify why it is a bug.
      3. If it is a refactoring, clarify what has been changed.
      3. It would be helpful to include a before-and-after comparison using
         screenshots or GIFs.
      4. Please consider writing useful notes for better and faster reviews.
    -->
    
    Supersedes #3510. Since the PR is old and the repository structure has
    changed, this PR reapplies the relevant changes on top of the current
    master branch.
    
    This PR adds an option for case sensitivity to the keyword search
    operator. Users can now use a checkbox to specify whether their search
    should be case sensitive or case insensitive. This functionality is
    enabled through the addition of a CaseSensitiveAnalyzer that extends the
    base Lucene Analyzer for case sensitive searches, while the original
    StandardAnalyzer is used for case insensitive searches.
    
    <img width="2574" height="1366" alt="image"
    
src="https://github.com/user-attachments/assets/5e2d6686-642a-49e4-8ad5-3d052d616f68";
    />
    <img width="2564" height="1350" alt="image"
    
src="https://github.com/user-attachments/assets/1d766f3e-993e-4229-84ce-c41b72bf1f46";
    />
    <img width="2572" height="1350" alt="image"
    
src="https://github.com/user-attachments/assets/f254761f-ceaa-4c30-ada9-89b63f9347fa";
    />
    
    
    ### Any related issues, documentation, discussions?
    <!--
    Please use this section to link other resources if not mentioned
    already.
    1. If this PR fixes an issue, please include `Fixes #1234`, `Resolves
    #1234`
    or `Closes #1234`. If it is only related, simply mention the issue
    number.
      2. If there is design documentation, please add the link.
      3. If there is a discussion in the mailing list, please add the link.
    -->
    
    Closes #3045.
    
    
    ### How was this PR tested?
    <!--
    If tests were added, say they were added here. Or simply mention that if
    the PR
    is tested with existing test cases. Make sure to include/update test
    cases that
    check the changes thoroughly including negative and positive cases if
    possible.
    If it was tested in a way different from regular unit tests, please
    clarify how
    you tested step by step, ideally copy and paste-able, so that other
    reviewers can
    test and check, and descendants can verify in the future. If tests were
    not added,
    please describe why they were not added and/or why it was difficult to
    add.
    -->
    
    Tested Manually.
    
    
    ### Was this PR authored or co-authored using generative AI tooling?
    <!--
    If generative AI tooling has been used in the process of authoring this
    PR,
    please include the phrase: 'Generated-by: ' followed by the name of the
    tool
    and its version. If no, write 'No'.
    Please refer to the [ASF Generative Tooling
    Guidance](https://www.apache.org/legal/generative-tooling.html) for
    details.
    -->
    Co-authored using: Claude Code
    
    ---------
    
    Co-authored-by: GspikeHalo <[email protected]>
    Co-authored-by: Yicong Huang 
<[email protected]>
    Co-authored-by: Jiadong Bai <[email protected]>
    Co-authored-by: Shengquan Ni 
<[email protected]>
    Co-authored-by: Xiaozhen Liu <[email protected]>
    Co-authored-by: yunyad <[email protected]>
    Co-authored-by: Xinyuan Lin <[email protected]>
    Co-authored-by: Chris <[email protected]>
    Co-authored-by: Kunwoo Park 
<[email protected]>
    Co-authored-by: Kunwoo Park <[email protected]>
    Co-authored-by: Kunwoo Park 
<[email protected]>
    Co-authored-by: Kunwoo Park <[email protected]>
    Co-authored-by: Kunwoo Park 
<[email protected]>
    Co-authored-by: Kunwoo Park <[email protected]>
    Co-authored-by: Paul Schatt <[email protected]>
    Co-authored-by: Texera <[email protected]>
    Co-authored-by: Zhe Yuan <[email protected]>
    Co-authored-by: Texera <[email protected]>
    Co-authored-by: gspikehalo <[email protected]>
    Co-authored-by: ali risheh <[email protected]>
    Co-authored-by: Meng Wang <[email protected]>
    Co-authored-by: PJ Fanning <[email protected]>
    Co-authored-by: Jiadong Bai <[email protected]>
    Co-authored-by: Shengquan Ni <[email protected]>
    Co-authored-by: Paul <[email protected]>
    Co-authored-by: Paul <[email protected]>
    Co-authored-by: colinthebomb1 <[email protected]>
    Co-authored-by: Ma77Ball <[email protected]>
    Co-authored-by: QZT168 <[email protected]>
    Co-authored-by: xuang7 <[email protected]>
    Co-authored-by: Paul <[email protected]>
    Co-authored-by: Paul <[email protected]>
---
 .../keywordSearch/CaseSensitiveAnalyzer.scala      | 35 ++++++++++++++++++++++
 .../keywordSearch/KeywordSearchOpDesc.scala        |  5 ++++
 .../keywordSearch/KeywordSearchOpExec.scala        |  7 ++++-
 3 files changed, 46 insertions(+), 1 deletion(-)

diff --git 
a/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/CaseSensitiveAnalyzer.scala
 
b/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/CaseSensitiveAnalyzer.scala
new file mode 100644
index 0000000000..797cf274ac
--- /dev/null
+++ 
b/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/CaseSensitiveAnalyzer.scala
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.texera.amber.operator.keywordSearch
+
+import org.apache.lucene.analysis.{Analyzer, TokenStream}
+import org.apache.lucene.analysis.core.WhitespaceTokenizer
+import org.apache.lucene.analysis.CharArraySet
+import org.apache.lucene.analysis.StopFilter
+import org.apache.lucene.analysis.Analyzer.TokenStreamComponents
+
+// Achieves case sensitivity by skipping the lowercasing and normalization
+// pipeline used in StandardAnalyzer.
+class CaseSensitiveAnalyzer extends Analyzer {
+  override protected def createComponents(fieldName: String): 
TokenStreamComponents = {
+    val tokenizer = new WhitespaceTokenizer()
+    val stream: TokenStream = new StopFilter(tokenizer, CharArraySet.EMPTY_SET)
+    new TokenStreamComponents(tokenizer, stream)
+  }
+}
diff --git 
a/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpDesc.scala
 
b/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpDesc.scala
index e0102e66b7..b0e202a1bb 100644
--- 
a/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpDesc.scala
+++ 
b/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpDesc.scala
@@ -43,6 +43,11 @@ class KeywordSearchOpDesc extends FilterOpDesc {
   @JsonSchemaInject(json = """{"minLength": 1}""")
   var keyword: String = _
 
+  @JsonProperty(required = true, defaultValue = "false")
+  @JsonSchemaTitle("Case Sensitive")
+  @JsonPropertyDescription("Whether the keyword is case sensitive or not")
+  var isCaseSensitive: Boolean = false
+
   override def getPhysicalOp(
       workflowId: WorkflowIdentity,
       executionId: ExecutionIdentity
diff --git 
a/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpExec.scala
 
b/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpExec.scala
index 1354f2f0af..99ce77ba74 100644
--- 
a/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpExec.scala
+++ 
b/common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/keywordSearch/KeywordSearchOpExec.scala
@@ -26,6 +26,7 @@ import org.apache.lucene.analysis.standard.StandardAnalyzer
 import org.apache.lucene.index.memory.MemoryIndex
 import org.apache.lucene.queryparser.classic.QueryParser
 import org.apache.lucene.search.Query
+import org.apache.lucene.analysis.Analyzer
 
 class KeywordSearchOpExec(descString: String) extends FilterOpExec {
   private val desc: KeywordSearchOpDesc =
@@ -33,7 +34,11 @@ class KeywordSearchOpExec(descString: String) extends 
FilterOpExec {
 
   // We chose StandardAnalyzer because it provides more comprehensive 
tokenization, retaining numeric tokens and handling a broader range of 
characters.
   // This ensures that search functionality can include standalone numbers 
(e.g., "3") and complex queries while offering robust performance for most use 
cases.
-  @transient private lazy val analyzer = new StandardAnalyzer()
+
+  @transient private lazy val analyzer: Analyzer = {
+    if (desc.isCaseSensitive) new CaseSensitiveAnalyzer() else new 
StandardAnalyzer()
+  }
+
   @transient lazy val query: Query = new QueryParser(desc.attribute, 
analyzer).parse(desc.keyword)
   @transient private lazy val memoryIndex: MemoryIndex = new MemoryIndex()
 

Reply via email to