[PPML]doc: fix TPCH markdown list number render (#5992)

* Fix list number rendering wrongly

* position of the ellipsis

docs/readthedocs/source/doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s.md

@@ -8,35 +8,35 @@
 ### Prepare TPC-H kit and data ###
 1. Generate data
 
-Go to [TPC Download](https://www.tpc.org/tpc_documents_current_versions/current_specifications5.asp) site, choose `TPC-H` source code, then download the TPC-H toolkits. **Follow the download instructions carefully.**
+  Go to [TPC Download](https://www.tpc.org/tpc_documents_current_versions/current_specifications5.asp) site, choose `TPC-H` source code, then download the TPC-H toolkits. **Follow the download instructions carefully.**
-After you download the tpc-h tools zip and uncompressed the zip file. Go to `dbgen` directory, and create `makefile` based on `makefile.suite`, and modify `makefile` according to the prompts inside, and run `make`.
+  After you download the tpc-h tools zip and uncompressed the zip file. Go to `dbgen` directory, and create `makefile` based on `makefile.suite`, and modify `makefile` according to the prompts inside, and run `make`.
 
-This should generate an executable called `dbgen`
+  This should generate an executable called `dbgen`
-```
+  ```
-./dbgen -h
+  ./dbgen -h
-```
+  ```
 
-gives you the various options for generating the tables. The simplest case is running:
+  gives you the various options for generating the tables. The simplest case is running:
-```
+  ```
-./dbgen
+  ./dbgen
-```
+  ```
-which generates tables with extension `.tbl` with scale 1 (default) for a total of rougly 1GB size across all tables. For different size tables you can use the `-s` option:
+  which generates tables with extension `.tbl` with scale 1 (default) for a total of rougly 1GB size across all tables. For different size tables you can use the `-s` option:
-```
+  ```
-./dbgen -s 10
+  ./dbgen -s 10
-```
+  ```
-will generate roughly 10GB of input data.
+  will generate roughly 10GB of input data.
 
-You need to move all .tbl files to a new directory as raw data.
+  You need to move all .tbl files to a new directory as raw data.
 
-You can then either upload your data to remote file system or read them locally.
+  You can then either upload your data to remote file system or read them locally.
 
 2. Encrypt Data
 
-Encrypt data with specified Key Management Service (`SimpleKeyManagementService`, or `EHSMKeyManagementService` , or `AzureKeyManagementService`). Details can be found here: https://github.com/intel-analytics/BigDL/tree/main/ppml/services/kms-utils/docker
+  Encrypt data with specified Key Management Service (`SimpleKeyManagementService`, or `EHSMKeyManagementService` , or `AzureKeyManagementService`). Details can be found here: https://github.com/intel-analytics/BigDL/tree/main/ppml/services/kms-utils/docker
 
-The example code of encrypt data with `SimpleKeyManagementService` is like below:
+  The example code of encrypt data with `SimpleKeyManagementService` is like below:
-```
+  ```
-java -cp "$BIGDL_HOME/jars/bigdl-ppml-spark_3.1.2-2.1.0-SNAPSHOT.jar:$SPARK_HOME/conf/:$SPARK_HOME/jars/*:$BIGDL_HOME/jars/*"  \
+  java -cp "$BIGDL_HOME/jars/bigdl-ppml-spark_3.1.2-2.1.0-SNAPSHOT.jar:$SPARK_HOME/conf/:$SPARK_HOME/jars/*:$BIGDL_HOME/jars/*"  \
     -Xmx10g \
     com.intel.analytics.bigdl.ppml.examples.tpch.EncryptFiles \
     --inputPath xxx/dbgen-input \
@@ -46,24 +46,24 @@ java -cp "$BIGDL_HOME/jars/bigdl-ppml-spark_3.1.2-2.1.0-SNAPSHOT.jar:$SPARK_HOME
     --simpleAPPKEY xxxxxxxxxxxx \
     --primaryKeyPath /path/to/simple_encrypted_primary_key \
     --dataKeyPath /path/to/simple_encrypted_data_key
-```
+  ```
 
 ### Deploy PPML TPC-H on Kubernetes ###
 1.  Pull docker image
-```
+  ```
-sudo docker pull intelanalytics/bigdl-ppml-trusted-big-data-ml-python-graphene:2.1.0-SNAPSHOT
+  sudo docker pull intelanalytics/bigdl-ppml-trusted-big-data-ml-python-graphene:2.1.0-SNAPSHOT
-```
+  ```
 2. Prepare SGX keys (following instructions [here](https://github.com/intel-analytics/BigDL/tree/main/ppml/trusted-big-data-ml/python/docker-graphene#11-prepare-the-keyspassworddataenclave-keypem "here")), make sure keys and tpch-spark can be accessed on each K8S node
 3. Start a bigdl-ppml enabled Spark K8S client container with configured local IP, key, tpch and kuberconfig path
-```
+  ```
-export ENCLAVE_KEY=/path/to/enclave-key.pem
+  export ENCLAVE_KEY=/path/to/enclave-key.pem
-export SECURE_PASSWORD_PATH=/path/to/password
+  export SECURE_PASSWORD_PATH=/path/to/password
-export DATA_PATH=/path/to/data
+  export DATA_PATH=/path/to/data
-export KEYS_PATH=/path/to/keys
+  export KEYS_PATH=/path/to/keys
-export KUBERCONFIG_PATH=/path/to/kuberconfig
+  export KUBERCONFIG_PATH=/path/to/kuberconfig
-export LOCAL_IP=$local_ip
+  export LOCAL_IP=$local_ip
-export DOCKER_IMAGE=intelanalytics/bigdl-ppml-trusted-big-data-ml-python-graphene:2.1.0-SNAPSHOT
+  export DOCKER_IMAGE=intelanalytics/bigdl-ppml-trusted-big-data-ml-python-graphene:2.1.0-SNAPSHOT
-sudo docker run -itd \
+  sudo docker run -itd \
           --privileged \
           --net=host \
           --name=spark-local-k8s-client \
@@ -91,16 +91,16 @@ sudo docker run -itd \
           -e SGX_LOG_LEVEL=error \
           -e LOCAL_IP=$LOCAL_IP \
           $DOCKER_IMAGE bash
-``` 
+  ``` 
 4. Attach to the client container
-```
+  ```
-sudo docker exec -it spark-local-k8s-client bash
+  sudo docker exec -it spark-local-k8s-client bash
-```
+  ```
 5. Modify `spark-executor-template.yaml`, add path of `enclave-key`, `tpch-spark` and `kuberconfig` on host
-```
+  ```
-apiVersion: v1
+  apiVersion: v1
-kind: Pod
+  kind: Pod
-spec:
+  spec:
     containers:
     - name: spark-executor
       securityContext:
@@ -122,14 +122,14 @@ spec:
       - name: kubeconf
         hostPath:
           path: /path/to/kuberconfig
-```
+  ```
 6. Run PPML TPC-H
-```bash
+  ```bash
-secure_password=`openssl rsautl -inkey /ppml/trusted-big-data-ml/work/password/key.txt -decrypt </ppml/trusted-big-data-ml/work/password/output.bin` && \
+  secure_password=`openssl rsautl -inkey /ppml/trusted-big-data-ml/work/password/key.txt -decrypt </ppml/trusted-big-data-ml/work/password/output.bin` && \
-export TF_MKL_ALLOC_MAX_BYTES=10737418240 && \
+  export TF_MKL_ALLOC_MAX_BYTES=10737418240 && \
-export SPARK_LOCAL_IP=$LOCAL_IP && \
+  export SPARK_LOCAL_IP=$LOCAL_IP && \
-export INPUT_DIR=xxx/dbgen-encrypted && \
+  export INPUT_DIR=xxx/dbgen-encrypted && \
-export OUTPUT_DIR=xxx/dbgen-output && \
+  export OUTPUT_DIR=xxx/dbgen-output && \
     /opt/jdk8/bin/java \
       -cp '/ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/lib/bigdl-ppml-spark_3.1.2-2.1.0-SNAPSHOT-jar-with-dependencies.jar:/ppml/trusted-big-data-ml/work/spark-3.1.2/conf/:/ppml/trusted-big-data-ml/work/spark-3.1.2/jars/*' \
       -Xmx10g \
@@ -198,8 +198,8 @@ export OUTPUT_DIR=xxx/dbgen-output && \
       --verbose \
       /ppml/trusted-big-data-ml/work/bigdl-2.1.0-SNAPSHOT/lib/bigdl-ppml-spark_3.1.2-2.1.0-SNAPSHOT-jar-with-dependencies.jar \
       $INPUT_DIR $OUTPUT_DIR aes/cbc/pkcs5padding plain_text [QUERY]
-```
+  ```
-The optional parameter [QUERY] is the number of the query to run e.g 1, 2, ..., 22.
+  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:
+  The result is in OUTPUT_DIR. There should be a file called TIMES.TXT with content formatted like:
->Q01     39.80204010
+  >Q01     39.80204010