Merge branch 'master' into jiadong-fix-codegen

README.md

@@ -9,9 +9,9 @@
   <br>
 
   <h4 align="center">
-    <a href="https://github.com/Texera/texera#videos">Demo Video</a>
+    <a href="https://texera.io">Official Site</a>
     |
-    <a href="https://texera.github.io/blog/">Blogs</a>
+    <a href="https://texera.io/?cat=11">Blogs</a>
     |
     <a href="https://github.com/Texera/texera/wiki/Getting-Started">Getting Started</a>
     <br>
@@ -29,13 +29,6 @@
   <img alt="Static Badge" src="https://img.shields.io/badge/Largest_Deployment-100_nodes,_400_cores-green">
 </p>
 
-# Motivation
-
-* Data science is labor-intensive and particularly challenging for non-IT users applying AI/ML.
-* Many workflow-based data science platforms lack parallelism, limiting their ability to handle big datasets.
-* Cloud services and technologies have advanced significantly over the past decade, enabling powerful browser-based interfaces supported by high-speed networks.
-* Existing data science platforms offer limited interaction during long-running jobs, making them difficult to manage after execution begins.
-
 # Goals
 
 * Provide data science as cloud services;
@@ -148,59 +141,6 @@ The workflow in the use case shown below includes data cleaning, ML model traini
   _In JAMIA 2021_ | [PDF](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989302/pdf/ocab047.pdf)
 </details>
 
-
-# Education
-<table>
-  <tr style="height: 500px;">
-    <td align="center">
-      <a href="https://ds4all.ics.uci.edu/">
-        <img src="https://ds4all.ics.uci.edu/wp-content/uploads/2023/07/banner-1024x576.png">
-      </a>
-      <p><b>Data Science for All</b></p>
-      An NSF-funded summer program to teach high-school students data science and AI/ML
-    </td>
-    <td align="center">
-      <a href="https://canvas.eee.uci.edu/courses/63639/pages/syllabus">
-        <img src="https://github.com/user-attachments/assets/a7569fd3-6857-48b4-80dc-d9f006ae2c8f">
-      </a>
-      <p><b>ICS 80: Data Science and AI/ML Using Workflows</b></p>
-      A Spring 2024 course at UCI, teaching 42 undergraduates, most of whom are not computer science majors, to learn data science and AI/ML
-    </td>
-    <td align="center">
-      <a href="https://sites.google.com/uci.edu/ds-workshop2024/home">
-        <img src="https://www.cerritos.edu/_resources/images/common/cerritos-college-logo.svg">
-      </a>
-      <p><b>Workshop of Data Science for Everyone at Cerritos College</b></p>
-      A two-day workshop designed for non-CS students to learn data science and ML without a single line of coding
-    </td>
-  </tr>
-</table>
-
-
-# Videos
-<table>
-  <tr style="height: 500px;">
-    <td align="center">
-      <a href="https://www.youtube.com/watch?v=B81iMFS5fPc">
-        <img src="https://img.youtube.com/vi/B81iMFS5fPc/0.jpg"  alt="Watch the video">
-      </a>
-      <p><b>dkNET Webinar 04/26/2024</b></p>
-    </td>
-    <td align="center">
-      <a href="https://www.youtube.com/watch?v=SP-XiDADbw0">
-        <img src="https://img.youtube.com/vi/SP-XiDADbw0/0.jpg" alt="Watch the video">
-      </a>
-      <p><b>Texera Demo @ VLDB'20</b></p>
-    </td>
-    <td align="center">
-      <a href="https://www.youtube.com/watch?v=T5ShFRfHmgI">
-        <img src="https://img.youtube.com/vi/T5ShFRfHmgI/0.jpg"  alt="Watch the video">
-      </a>
-      <p><b>Amber Presentation @ VLDB'20</b></p>
-    </td>
-  </tr>
-</table>
-
 # Getting Started
 
 * For users, visit [Guide to Use Texera](https://github.com/Texera/texera/wiki/Getting-Started).

core/workflow-operator/src/main/scala/edu/uci/ics/amber/operator/LogicalOp.scala

@@ -11,7 +11,6 @@ import edu.uci.ics.amber.operator.cartesianProduct.CartesianProductOpDesc
 import edu.uci.ics.amber.operator.dictionary.DictionaryMatcherOpDesc
 import edu.uci.ics.amber.operator.difference.DifferenceOpDesc
 import edu.uci.ics.amber.operator.distinct.DistinctOpDesc
-import edu.uci.ics.amber.operator.download.BulkDownloaderOpDesc
 import edu.uci.ics.amber.operator.dummy.DummyOpDesc
 import edu.uci.ics.amber.operator.filter.SpecializedFilterOpDesc
 import edu.uci.ics.amber.operator.hashJoin.HashJoinOpDesc
@@ -202,7 +201,6 @@ trait StateTransferFunc
     new Type(value = classOf[RedditSearchSourceOpDesc], name = "RedditSearch"),
     new Type(value = classOf[PythonLambdaFunctionOpDesc], name = "PythonLambdaFunction"),
     new Type(value = classOf[PythonTableReducerOpDesc], name = "PythonTableReducer"),
-    new Type(value = classOf[BulkDownloaderOpDesc], name = "BulkDownloader"),
     new Type(value = classOf[URLFetcherOpDesc], name = "URLFetcher"),
     new Type(value = classOf[CartesianProductOpDesc], name = "CartesianProduct"),
     new Type(value = classOf[FilledAreaPlotOpDesc], name = "FilledAreaPlot"),