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add notes for pulling images before up and running #25

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merged 3 commits into from
Jun 12, 2018
Merged

add notes for pulling images before up and running #25

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9ca8b08
add notes for pulling images before up and running
tennix Jun 5, 2018
dcda78a
address comment
tennix Jun 8, 2018
27e2d12
address comment
tennix Jun 8, 2018
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29 changes: 20 additions & 9 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,8 @@

```bash
$ git clone https://github.com/pingcap/tidb-docker-compose.git
$ cd tidb-docker-compose && docker-compose up -d
$ cd tidb-docker-compose && docker-compose pull # Get the latest Docker images
$ docker-compose up -d
$ mysql -h 127.0.0.1 -P 4000 -u root
```

Expand Down Expand Up @@ -55,6 +56,7 @@ $ git clone https://github.com/pingcap/tidb-docker-compose.git
$ cd tidb-docker-compose
$ vi compose/values.yaml # custom cluster size, docker image, port mapping etc
$ helm template compose > generated-docker-compose.yaml
$ docker-compose -f generated-docker-compose.yaml pull # Get the latest Docker images
$ docker-compose -f generated-docker-compose.yaml up -d
```

Expand Down Expand Up @@ -139,6 +141,16 @@ If you enabled tidb-vision, you can view it at http://localhost:8010

### Access Spark shell and load TiSpark

Insert some sample data to the TiDB cluster:

```bash
$ docker-compose exec tispark-master bash
$ cd /opt/spark/data/tispark-sample-data
$ mysql -h tidb -P 4000 -u root < dss.ddl
```

After the sample data is loaded into the TiDB cluster, you can access Spark Shell by `docker-compose exec tispark-master /opt/spark/bin/spark-shell`.

```bash
$ docker-compose exec tispark-master /opt/spark/bin/spark-shell
...
Expand All @@ -159,13 +171,12 @@ scala> import org.apache.spark.sql.TiContext
...
scala> val ti = new TiContext(spark)
...
scala> ti.tidbMapDatabase("test");
scala> ti.tidbMapDatabase("TPCH_001")
...
scala> spark.sql("show tables").show
+--------+---------+-----------+
|database|tableName|isTemporary|
+--------+---------+-----------+
| | t1| true|
+--------+---------+-----------+

scala> spark.sql("select count(*) from lineitem").show
+--------+
|count(1)|
+--------+
| 60175|
+--------+
```