diff --git a/docs/readthedocs/source/doc/PPML/Dev/python_test.md b/docs/readthedocs/source/doc/PPML/Dev/python_test.md
index 4deecca9..057c99b1 100644
--- a/docs/readthedocs/source/doc/PPML/Dev/python_test.md
+++ b/docs/readthedocs/source/doc/PPML/Dev/python_test.md
@@ -58,4 +58,4 @@ to
```
CMD=("${CMD[0]}" -agentlib:jdwp=transport=dt_socket,server=y,address=4000,suspend=n "${CMD[@]:1:$LAST}")
```
-And in IDEA, create a Run Configuration remote JVM profile. The IDEA will create the VM args automatically.
\ No newline at end of file
+And in IDEA, create a Run Configuration remote JVM profile. The IDEA will create the VM args automatically.
diff --git a/docs/readthedocs/source/doc/PPML/Overview/azure_ppml.md b/docs/readthedocs/source/doc/PPML/Overview/azure_ppml.md
index 7e121846..04bdc3a2 100644
--- a/docs/readthedocs/source/doc/PPML/Overview/azure_ppml.md
+++ b/docs/readthedocs/source/doc/PPML/Overview/azure_ppml.md
@@ -77,13 +77,13 @@ In your BigDL PPML container, you can run `/ppml/trusted-big-data-ml/azure/creat
Note: Please use the same VNet information of your client to create AKS. And use DC-Series VM size(i.e.Standard_DC8ds_v3) to create AKS.
```bash
/ppml/trusted-big-data-ml/azure/create-aks.sh \
---resource-group myResourceGroup \
---vnet-resource-group myVnetResourceGroup \
---vnet-name myVnetName \
---subnet-name mySubnetName \
---cluster-name myAKSName \
---vm-size myAKSNodeVMSize \
---node-count myAKSInitNodeCount
+ --resource-group myResourceGroup \
+ --vnet-resource-group myVnetResourceGroup \
+ --vnet-name myVnetName \
+ --subnet-name mySubnetName \
+ --cluster-name myAKSName \
+ --vm-size myAKSNodeVMSize \
+ --node-count myAKSInitNodeCount
```
You can check the information by running:
@@ -313,20 +313,20 @@ DATA_KEY_PATH=
secure_password=`az keyvault secret show --name "key-pass" --vault-name $KEY_VAULT_NAME --query "value" | sed -e 's/^"//' -e 's/"$//'`
bash bigdl-ppml-submit.sh \
- --master $RUNTIME_SPARK_MASTER \
- --deploy-mode client \
- --sgx-enabled true \
- --sgx-log-level error \
- --sgx-driver-memory 4g \
- --sgx-driver-jvm-memory 2g \
- --sgx-executor-memory 16g \
- --sgx-executor-jvm-memory 7g \
- --driver-memory 8g \
- --driver-cores 4 \
- --executor-memory 18g \
- --executor-cores 4 \
- --num-executors 2 \
- --conf spark.cores.max=8 \
+ --master $RUNTIME_SPARK_MASTER \
+ --deploy-mode client \
+ --sgx-enabled true \
+ --sgx-log-level error \
+ --sgx-driver-memory 4g \
+ --sgx-driver-jvm-memory 2g \
+ --sgx-executor-memory 16g \
+ --sgx-executor-jvm-memory 7g \
+ --driver-memory 8g \
+ --driver-cores 4 \
+ --executor-memory 18g \
+ --executor-cores 4 \
+ --num-executors 2 \
+ --conf spark.cores.max=8 \
--name spark-decrypt-sgx \
--conf spark.kubernetes.container.image=myContainerRegistry.azurecr.io/intel_corporation/bigdl-ppml-trusted-big-data-ml-python-graphene:$BIGDL_VERSION \
--conf spark.kubernetes.driver.podTemplateFile=/ppml/trusted-big-data-ml/azure/spark-driver-template-az.yaml \
@@ -343,7 +343,6 @@ bash bigdl-ppml-submit.sh \
--verbose \
$SPARK_EXTRA_JAR_PATH \
$ARGS
-
```
## 4. Run TPC-H example
@@ -375,32 +374,34 @@ will generate roughly 10GB of input data.
Generate primary key and data key, then save to file system.
The example code for generating the primary key and data key is like below:
-```
+
+```bash
BIGDL_VERSION=2.1.0
java -cp '/ppml/trusted-big-data-ml/work/bigdl-$BIGDL_VERSION/jars/*:/ppml/trusted-big-data-ml/work/spark-3.1.2/conf/:/ppml/trusted-big-data-ml/work/spark-3.1.2/jars/* \
- -Xmx10g \
- com.intel.analytics.bigdl.ppml.examples.GenerateKeys \
- --kmsType AzureKeyManagementService \
- --vaultName xxx \
- --primaryKeyPath xxx/keys/primaryKey \
- --dataKeyPath xxx/keys/dataKey
+ -Xmx10g \
+ com.intel.analytics.bigdl.ppml.examples.GenerateKeys \
+ --kmsType AzureKeyManagementService \
+ --vaultName xxx \
+ --primaryKeyPath xxx/keys/primaryKey \
+ --dataKeyPath xxx/keys/dataKey
```
### 4.3 Encrypt Data
Encrypt data with specified BigDL `AzureKeyManagementService`
The example code of encrypting data is like below:
-```
+
+```bash
BIGDL_VERSION=2.1.0
java -cp '/ppml/trusted-big-data-ml/work/bigdl-$BIGDL_VERSION/jars/*:/ppml/trusted-big-data-ml/work/spark-3.1.2/conf/:/ppml/trusted-big-data-ml/work/spark-3.1.2/jars/* \
- -Xmx10g \
- com.intel.analytics.bigdl.ppml.examples.tpch.EncryptFiles \
- --kmsType AzureKeyManagementService \
- --vaultName xxx \
- --primaryKeyPath xxx/keys/primaryKey \
- --dataKeyPath xxx/keys/dataKey \
- --inputPath xxx/dbgen \
- --outputPath xxx/dbgen-encrypted
+ -Xmx10g \
+ com.intel.analytics.bigdl.ppml.examples.tpch.EncryptFiles \
+ --kmsType AzureKeyManagementService \
+ --vaultName xxx \
+ --primaryKeyPath xxx/keys/primaryKey \
+ --dataKeyPath xxx/keys/dataKey \
+ --inputPath xxx/dbgen \
+ --outputPath xxx/dbgen-encrypted
```
After encryption, you may upload encrypted data to Azure Data Lake store.
@@ -417,7 +418,7 @@ location of the input data and where the output should be saved.
The example script to run a query is like:
-```
+```bash
export RUNTIME_DRIVER_MEMORY=8g
export RUNTIME_DRIVER_PORT=54321
@@ -435,20 +436,20 @@ INPUT_DIR=xxx/dbgen-encrypted
OUTPUT_DIR=xxx/output
bash bigdl-ppml-submit.sh \
- --master $RUNTIME_SPARK_MASTER \
- --deploy-mode client \
- --sgx-enabled true \
- --sgx-log-level error \
- --sgx-driver-memory 4g \
- --sgx-driver-jvm-memory 2g \
- --sgx-executor-memory 16g \
- --sgx-executor-jvm-memory 7g \
- --driver-memory 8g \
- --driver-cores 4 \
- --executor-memory 18g \
- --executor-cores 4 \
- --num-executors 2 \
- --conf spark.cores.max=8 \
+ --master $RUNTIME_SPARK_MASTER \
+ --deploy-mode client \
+ --sgx-enabled true \
+ --sgx-log-level error \
+ --sgx-driver-memory 4g \
+ --sgx-driver-jvm-memory 2g \
+ --sgx-executor-memory 16g \
+ --sgx-executor-jvm-memory 7g \
+ --driver-memory 8g \
+ --driver-cores 4 \
+ --executor-memory 18g \
+ --executor-cores 4 \
+ --num-executors 2 \
+ --conf spark.cores.max=8 \
--name spark-tpch-sgx \
--conf spark.kubernetes.container.image=myContainerRegistry.azurecr.io/intel_corporation/bigdl-ppml-trusted-big-data-ml-python-graphene:$BIGDL_VERSION \
--conf spark.kubernetes.driver.podTemplateFile=/ppml/trusted-big-data-ml/azure/spark-driver-template-az.yaml \
@@ -472,11 +473,3 @@ bash bigdl-ppml-submit.sh \
INPUT_DIR is the TPC-H's data dir.
OUTPUT_DIR is the dir to write the query result.
The optional parameter [QUERY] is the number of the query to run e.g 1, 2, ..., 22
-
-
-
-
-
-
-
-
diff --git a/docs/readthedocs/source/doc/PPML/Overview/quicktour.md b/docs/readthedocs/source/doc/PPML/Overview/quicktour.md
index 5fa88411..ab6fb427 100644
--- a/docs/readthedocs/source/doc/PPML/Overview/quicktour.md
+++ b/docs/readthedocs/source/doc/PPML/Overview/quicktour.md
@@ -89,4 +89,4 @@ The result should look something like this:
> Pi is roughly 3.146760
-
\ No newline at end of file
+
diff --git a/docs/readthedocs/source/doc/PPML/QuickStart/deploy_ppml_in_production.md b/docs/readthedocs/source/doc/PPML/QuickStart/deploy_ppml_in_production.md
index 6ab05ab9..a724ba92 100644
--- a/docs/readthedocs/source/doc/PPML/QuickStart/deploy_ppml_in_production.md
+++ b/docs/readthedocs/source/doc/PPML/QuickStart/deploy_ppml_in_production.md
@@ -23,6 +23,7 @@ You can find more details in [Intel SGX Developer Guide](https://download.01.org
```eval_rst
.. mermaid::
+
graph LR
subgraph SGX enclave
MRENCLAVE(fa:fa-file-signature MRENCLAVE)
diff --git a/docs/readthedocs/source/doc/PPML/QuickStart/end-to-end.md b/docs/readthedocs/source/doc/PPML/QuickStart/end-to-end.md
index 3acbd242..c6e4e476 100644
--- a/docs/readthedocs/source/doc/PPML/QuickStart/end-to-end.md
+++ b/docs/readthedocs/source/doc/PPML/QuickStart/end-to-end.md
@@ -172,4 +172,4 @@ When the job is done, you can decrypt and read result of the job. More details i
## Video Demo
-
\ No newline at end of file
+
diff --git a/docs/readthedocs/source/doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s.md b/docs/readthedocs/source/doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s.md
index 5b89ed9b..0ede024c 100644
--- a/docs/readthedocs/source/doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s.md
+++ b/docs/readthedocs/source/doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s.md
@@ -202,4 +202,4 @@
The optional parameter [QUERY] is the number of the query to run e.g 1, 2, ..., 22.
The result is in OUTPUT_DIR. There should be a file called TIMES.TXT with content formatted like:
- >Q01 39.80204010
\ No newline at end of file
+ >Q01 39.80204010