update link

DeepMapping/DeepMapping/benchmark_utils.py

@@ -1,4 +1,4 @@
-from DeepMapping import dgpe_compression, byte_dictionary_compression, delta_compression, lzo_compression, zstd_compression, uncompress, rle_compression, deepmapping
+from DeepMapping import dgpe_compression, byte_dictionary_compression, delta_compression, lzo_compression, zstd_compression, uncompress, rle_compression, deepmapping, hashtable, hashtable_with_compression
 
 
 def benchmark_handler(benchmark, bench_type='single'):
@@ -19,10 +19,13 @@ def benchmark_handler(benchmark, bench_type='single'):
             return zstd_compression.measure_latency
         elif benchmark == "rle":
             return rle_compression.measure_latency
+        elif benchmark == 'hashtable':
+            return hashtable.measure_latency
+        elif benchmark == 'hashtable_with_compression':
+            return hashtable_with_compression.measure_latency
         elif benchmark == "deepmapping":
             return deepmapping.measure_latency_any
         else:
             raise ValueError("NON-EXIST benchmark")
     else:
-        raise ValueError("Non supported bench_type")
-
+        raise ValueError("Non supported bench_type")

README.md

@@ -27,9 +27,9 @@ Resources for SIGMOD 2024 Submission
 
 ## Dataset
 
-Our experiments covered synthetic datasets, low/high correlation datasets with different scales(100MB, 1GB, 10GB), and TPC-H, TPC-DS benchmark datasets with scale factors as 1 and 10. We removed all string/continuous columns and uploaded our pre-generated datasets to [**HERE**](#FIXME):
+Our experiments covered synthetic datasets, low/high correlation datasets with different scales(100MB, 1GB, 10GB), and TPC-H, TPC-DS benchmark datasets with scale factors as 1 and 10. We removed all string/continuous columns and uploaded our pre-generated datasets to [**HERE**](https://mega.nz/file/nNggnQzA#9Ma2v3GIrfR-3ndGNzGXsF5ZOcWtGwZKeRekUiqOnzA):
 
-[**DATA LINK: Uploading...**](#FIXME)
+[**DATA LINK: Here**](https://mega.nz/file/nNggnQzA#9Ma2v3GIrfR-3ndGNzGXsF5ZOcWtGwZKeRekUiqOnzA)
 
 After download it, please unzip it to the **root** folder of this GitHub repository. Then, you will see a **dataset**  folder here.
 
@@ -48,9 +48,9 @@ List of datasets:
 
 ## Benchmark 
 
-We provided some example models for the following 2 tasks. Please go [**HERE**](#FIXME) to download:
+We provided some example models for the following 2 tasks. Please go [**HERE**](https://mega.nz/file/icxG1JaL#cuC5C4_PxQ1FsgSUmswfaXyzCaatOwx9n_b9F_-IDnU) to download:
 
-[**MODEL LINK: Uploading...**](#FIXME)
+[**MODEL LINK: Here**](https://mega.nz/file/icxG1JaL#cuC5C4_PxQ1FsgSUmswfaXyzCaatOwx9n_b9F_-IDnU)
 
 After download it, please unzip it to the **root** folder of this GitHub repository. Then, you will see a **models**  folder here.