remove netty workaround

twosigma · Jul 4, 2018 · 6db4f63 · 6db4f63
1 parent 243e1d1
commit 6db4f63
Showing 1 changed file with 3 additions and 8 deletions.
diff --git a/doc/scala/Flint.ipynb b/doc/scala/Flint.ipynb
@@ -13,9 +13,7 @@
     "Unlike `DataFrame` and `Dataset`, Flint's `TimeSeriesRDD`s can leverage the existing ordering properties of datasets at rest and the fact that almost all data manipulations and analysis over these datasets respect their temporal ordering properties.\n",
     "It differs from other time series efforts in Spark in its ability to efficiently compute across panel data or on large scale high frequency data.\n",
     "\n",
-    "This example uses `prices.csv` file from [Kaggle](https://www.kaggle.com/dgawlik/nyse). For it to work you need to get it and put it in `/tmp/prices.csv`.\n",
-    "\n",
-    "The `io.netty` lines are a workaround for a temporary upstream problem, see [#7628](https://github.com/twosigma/beakerx/issues/7628)."
+    "This example uses `prices.csv` file from [Kaggle](https://www.kaggle.com/dgawlik/nyse). For it to work you need to get it and put it in `/tmp/prices.csv`."
    ]
   },
   {
@@ -25,12 +23,9 @@
    "outputs": [],
    "source": [
     "%%classpath add mvn\n",
-    "io.netty netty-all 4.1.25.Final\n",
-    "io.netty netty-buffer 4.1.25.Final\n",
-    "io.netty netty-common 4.1.25.Final\n",
-    "com.github.twosigma flint master-b560b000bc-1\n",
     "org.apache.spark spark-sql_2.11 2.2.1\n",
-    "org.apache.spark spark-mllib_2.11 2.2.1"
+    "org.apache.spark spark-mllib_2.11 2.2.1\n",
+    "com.github.twosigma flint 6055a7a231"
    ]
   },
   {