Merge pull request #359 from KshitizLohia/master

Added feature store conda v2 (Merge post conda pack release)

Author: liudmylaru

notebook_examples/data/201901-citibike-tripdata.csv

@@ -8,7 +8,7 @@
     "qweews@notebook{feature_store_spark_magic.ipynb,\n",
     "    title: Data Flow Studio : Big Data Operations in Feature Store.,\n",
     "    summary: Run Feature Store on interactive Spark workloads on a long lasting Data Flow Cluster.,\n",
-    "    developed_on: fspyspark32_p38_cpu_v1,\n",
+    "    developed_on: fspyspark32_p38_cpu_v2,\n",
     "    keywords: feature store, querying,spark magic,data flow\n",
     "    license: Universal Permissive License v 1.0\n",
     "}"
@@ -21,7 +21,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!odsc conda install -s fspyspark32_p38_cpu_v1"
+    "!odsc conda install -s fspyspark32_p38_cpu_v2"
    ]
   },
   {
@@ -129,7 +129,7 @@
     "<a id='pre_requisites'></a>\n",
     "# 2. Pre-requisites to Running this Notebook\n",
     "\n",
-    "Data Flow Sessions are accessible using the PySpark 3.2 and Feature Store Python 3.8 (fspyspark32_p38_cpu_v1) conda environment.\n",
+    "Data Flow Sessions are accessible using the PySpark 3.2 and Feature Store Python 3.8 (fspyspark32_p38_cpu_v2) conda environment.\n",
     "\n",
     "The [Data Catalog Hive Metastore](https://docs.oracle.com/en-us/iaas/data-catalog/using/metastore.htm) provides schema definitions for objects in structured and unstructured data assets. The Metastore is the central metadata repository to understand tables backed by files on object storage. You can customize `fs_pyspark32_p38_cpu_v1`, publish it, and use it as a runtime environment for a Data Flow session cluster. The metastore id of hive metastore is tied to feature store construct of feature store service."
    ]
@@ -249,7 +249,7 @@
     "metastore_id = \"<metastore_id>\"\n",
     "logs_bucket_uri = \"<logs-bucket-url>\"\n",
     "\n",
-    "custom_conda_environment_uri = \"oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/PySpark_3.2_and_Feature_Store/1.0/fspyspark32_p38_cpu_v1#conda\""
+    "custom_conda_environment_uri = \"oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/PySpark_3.2_and_Feature_Store/1.0/fspyspark32_p38_cpu_v2#conda\""
    ]
   },
   {
@@ -665,9 +665,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:fspyspark32_p38_cpu_v1]",
+   "display_name": "Python [conda env:fspyspark32_p38_cpu_v2]",
    "language": "python",
-   "name": "conda-env-fspyspark32_p38_cpu_v1-py"
+   "name": "conda-env-fspyspark32_p38_cpu_v2-py"
   },
   "language_info": {
    "codemirror_mode": {