pyspark_db_utils 0.0.5

Usefull functions for working with Database in PySpark (PostgreSQL, ClickHouse)

# pyspark_db_utils

It helps you with your DB deals
Will be updates soon.

Example of settings:
```
settings = {
"PG_PROPERTIES": {
"user": "user",
"password": "pass",
"driver": "org.postgresql.Driver"
},
"PG_DRIVER_PATH": "jars/postgresql-42.1.4.jar",
"PG_URL": "jdbc:postgresql://db.olabs.com/dbname",
}
```

Example of using:
```
vsmelov@vsmelov:~/PycharmProjects/pyspark_db_utils$ mkdir jars
vsmelov@vsmelov:~/PycharmProjects/pyspark_db_utils$ cp /var/bigdata/spark-2.2.0-bin-hadoop2.7/jars/postgresql-42.1.4.jar ./jars/
vsmelov@vsmelov:~/PycharmProjects/pyspark_db_utils$ python3 pyspark_db_utils/example.py
host: ***SECRET***
db: ***SECRET***
user: ***SECRET***
password: ***SECRET***

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
18/03/05 11:43:29 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
18/03/05 11:43:29 WARN Utils: Your hostname, vsmelov resolves to a loopback address: 127.0.1.1; using 192.168.43.26 instead (on interface wlp2s0)
18/03/05 11:43:29 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
TRY: create df
OK: create df
+---+-----------+
| id| mono_id|
+---+-----------+
| 1| 0|
| 2| 1|
| 3| 2|
| 4| 3|
| 5| 8589934592|
| 6| 8589934593|
| 7| 8589934594|
| 8| 8589934595|
| 9| 8589934596|
| 10|17179869184|
| 11|17179869185|
| 12|17179869186|
| 13|17179869187|
| 14|17179869188|
| 15|25769803776|
| 16|25769803777|
| 17|25769803778|
| 18|25769803779|
| 19|25769803780|
+---+-----------+


TRY: write_to_pg
OK: write_to_pg

TRY: read_from_pg
OK: read_from_pg
+---+-----------+
| id| mono_id|
+---+-----------+
| 10|17179869184|
| 11|17179869185|
| 12|17179869186|
| 13|17179869187|
| 14|17179869188|
| 1| 0|
| 2| 1|
| 3| 2|
| 4| 3|
| 5| 8589934592|
| 6| 8589934593|
| 7| 8589934594|
| 8| 8589934595|
| 9| 8589934596|
| 15|25769803776|
| 16|25769803777|
| 17|25769803778|
| 18|25769803779|
| 19|25769803780|
| 1| 0|
+---+-----------+
only showing top 20 rows

```