Version 0.7.0

• Wait for finish of the apache beam job.

Support another timestamp format

• https://github.com/yu-iskw/bigquery-to-datastore/pull/27/files

Upgrade Apache Beam to 2.16.0

Google Dataflow support Apache Beam SDK for Java with version 2.4.0 and lower. So, we need to upgrade the SDK version to the current latest 2.16.0.

SDK Decommission Notice: The following SDK versions will be decommissioned in late 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

• Apache Beam SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Apache Beam SDK for Python, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Python, 2.0.0 to 2.4.0 (inclusive)
  Previously, the date planned for this decommissioning was March 25, 2019, but in response to customer requests, we are extending this timeline. The new end date has yet to be finalized but is expected to happen in 2019. When decommissioning happens, you will no longer be able to submit new Dataflow jobs or update running Dataflow jobs that use the decommissioned SDKs. In addition, existing streaming jobs that use these SDK versions may fail.

Cited by https://cloud.google.com/dataflow/docs/support/sdk-version-support-status

Cast values which don't match to any rules as string

Cast value which doesn't match to any rules as string (#22)

* force cast as string if a given value doesn't match to any rules

* Throw it away to parse integer and double

* Add testConvertToDatastoreValue

* Modify README

* Change default time zone for timestamp

Replace SimpleDateFormat with DateTimeFormatter

Replace SimpleDateFormat with DateTimeFormatter (#21)

* Change java target version from 1.7 to 1.8

* Refactoring parseDate

* Modify parsers

* Remove openjdk7

* Modify Makefile, README and pom

* Add ./dev/get-app-version.sh

* Modify Makefile

Prepare for homebrew's tap release

0.4.1

Change version (#16)

Support a feature to specify indexed columns.

0.3

Support a feature to specify indexed columns. (#11)

Version 0.2

• Dealing with nullable values more carefully

Version 0.1

• Implement it on Apache Beam and Google Dataflow 2.1.1