Database to File

Examples of using Sling to load data from storage systems to databases

We first need to make sure our connections are available in our environment. See Environment, Storage Connections and Database Connections for more details.

Linux / Mac

export MY_SOURCE_DB='...'

$ sling conns list
+---------------+------------------+-----------------+
| CONN NAME     | CONN TYPE        | SOURCE          |
+---------------+------------------+-----------------+
| MY_S3_BUCKET  | FileSys - S3     | sling env yaml  |
| MY_SOURCE_DB  | DB - PostgreSQL  | env variable    |
| MY_GS_BUCKET  | FileSys - Google | sling env yaml  |
| MY_AZURE_CONT | FileSys - Azure  | sling env yaml  |
+---------------+------------------+-----------------+

Windows

# using windows Powershell
$env:MY_SOURCE_DB = '...'

$ sling conns list
+---------------+------------------+-----------------+
| CONN NAME     | CONN TYPE        | SOURCE          |
+---------------+------------------+-----------------+
| MY_S3_BUCKET  | FileSys - S3     | sling env yaml  |
| MY_SOURCE_DB  | DB - PostgreSQL  | env variable    |
| MY_GS_BUCKET  | FileSys - Google | sling env yaml  |
| MY_AZURE_CONT | FileSys - Azure  | sling env yaml  |
+---------------+------------------+-----------------+

Database ⇨ Local Storage (CSV)

Using CLI Flags

$ sling run --src-conn MY_SOURCE_DB \
  --src-stream 'source_schema.source_table' \
  --tgt-object 'file:///tmp/my_file.csv'

$ sling run --src-conn MY_SOURCE_DB \
  --src-stream 'source_schema.source_table' \
  --tgt-object 'file:///tmp/my_csv_folder/*.csv'

$ sling run --src-conn MY_SOURCE_DB \
  --src-stream 'source_schema.source_table' \
  --tgt-object 'file:///tmp/my_csv_folder/' \
  --tgt-options '{file_max_rows: 100000, format: csv}'

# Windows path format
$ sling run --src-conn MY_SOURCE_DB \
  --src-stream 'source_schema.source_table' \
  --tgt-object 'file://C:/Temp/my_csv_folder/' \
  --tgt-options '{file_max_rows: 100000, format: csv}'

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

replication.yaml

source: MY_SOURCE_DB
target: LOCAL

defaults:
  target_options:
    format: csv

streams:
  source_schema.source_table:
    object: file:///tmp/my_file.csv

  source_schema.source_table1:
    object: file:///tmp/my_csv_folder/*.csv

  source_schema.source_table2:
    object: file:///tmp/my_csv_folder/
    target_options:
      file_max_rows: 100000

  source_schema.source_table3:
    object: file://C:/Temp/my_csv_folder/ # Windows Path format
    target_options:
      file_max_rows: 100000

  # all tables in schema, except "forbidden_table"
  my_schema.*:
    object: file:///tmp/{stream_schema}/{stream_table}/{YYYY}_{MM}_{DD}/
    target_options:
      file_max_rows: 400000 # will split files into folder
  my_schema.forbidden_table:
    disabled: true

Database ⇨ STDOUT

Using CLI Flags

sling.sh

$ sling run --src-conn MY_SOURCE_DB --src-stream 'source_schema.source_table' --stdout

Database ⇨ Local Storage (JSON)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

Database ⇨ Local Storage (JSON Lines)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

Database ⇨ Local Storage (Parquet)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

Database ⇨ Cloud Storage (CSV)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

Database ⇨ Cloud Storage (JSON)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

Database ⇨ Cloud Storage (JSON Lines)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml

Database ⇨ Cloud Storage (Parquet)

Using CLI Flags

---

Using Replication

Running with Sling: sling run -r /path/to/replication.yaml