We have here two migrations in fact. One is for existing users,
we need to check if its paying user (paid_tier) and set 1M for
them and 150K for others.
Second migration is to set limits for projects depends on owner.
If owner is a paying user (paid_tier) then project should have
1M limit, otherwise it should be 150K. In this case to make
migration faster initially projects table segment_limit was set
to 1M by default. With migration we are selecting all paying
users and we are setting 150K limit for all projects which owners
are not in paying users set.
Initially we had a concern if that query wil lbe quick enough to
be executed during deployment but after investigation CRDB
team confirms that this should take seconds for out DBs.
Fixes https://github.com/storj/team-metainfo/issues/70
Change-Id: I8be06e9f949b68b993e043cc15525e8483bf49ea
Implemented endpoint and query to get bandwidth chart data for new project dashboard.
Connected backend with frontend.
Storage chart data is mocked right now.
Change-Id: Ib24d28614dc74bcc31b81ee3b8aa68b9898fa87b
A few months ago we removed all references to the contained
column in nodes and reputations
bb21551a9c
and
56fe636123
But we never did the migration to drop the columns.
This commit will finally do that.
Change-Id: I82aa2f257b1fb14a2f1c4c4a1589f80895360ae4
inconsistency
The original design had a flaw which can potentially cause discrepancy
for nodes reputation status between reputations table and nodes table.
In the event of a failure(network issue, db failure, satellite failure, etc.)
happens between update to reputations table and update to nodes table, data
can be out of sync.
This PR tries to fix above issue by passing through node's reputation from
the beginning of an audit/repair(this data is from nodes table) to the next
update in reputation service. If the updated reputation status from the service
is different from the existing node status, the service will try to update nodes
table. In the case of a failure, the service will be able to try update nodes
table again since it can see the discrepancy of the data. This will allow
both tables to be in-sync eventually.
Change-Id: Ic22130b4503a594b7177237b18f7e68305c2f122
Batching of the order submissions can lead to combining the allocated
traffic totals for two completely different time windows, resulting
in incorrect customer accounting. This change will group the batched
order submissions by projectID as well as time window, leading to
distinct updates of a buckets bandwidth rollup based on the hour
window in which the order was created.
Change-Id: Ifb4d67923eec8a533b9758379914f17ff7abea32
We want to issue a reminder to users when they don't verify their email within 24hrs of registering. This change only adds a column to the users table.
Change-Id: I92e2baeabf179338ffec01574d4752c0ccdba88b
All limits we have for projects have also parent limits stored
with user data. New created project is first taking limits from
owner (user) limits.
This change is extending users table with project_segment_limit
column and adds functionality to get and set value for this
column.
Change-Id: Iff5e36c62b517652390b649fc05992475916ecff
Exposes functionality to get and update project segment
limit. It will be used to limit number of segments per project
while uploading object.
Change-Id: I971d48eebb4e7db8b01535c3091829e73437f48d
We want to set maximum number of segments per
project. This change adds only column to projects table.
Default value 1M is set to make later migration easier as
we need to set 1M for paid tier users and 140K for free
tier users.
Change-Id: I8e83712e08c5bd91dfa59f652d17e45c14240a36
Added new query to get project object and segment count.
Added appropriate object and segment count view for new project dashboard.
Change-Id: I69a2e55442f318c51dc365c0c578b964f2f06c7f
This reverts commit 2c0a360a14.
Avoid big transactions. We'll do it outside of the migration pipeline.
Change-Id: Iade810d81bb2453c9e351149cb84662b207ee527
Value attribution codes were converted into UUIDs and stored in the users, projects, api_keys, bucket_metainfos, and value_attributions tables in the partner_id column. This migration will lookup the appropriate partner name associated with each of these UUIDs, and store the partner name directly in the user_agent column within each table. If an error occurs during the partner ID to partner name conversion, the partner ID value will be migrated to user_agent.
A note on the migration test data, postgres.v182.sql:
With one exception, all preexisting rows in the relevant tables had a NULL partner_ID. Therefore, we needed to insert new rows with partner_ID set under the OLD DATA section in order to test that the migration works. For each affected table, we insert one row with a valid partner ID which has a corresponding partner name, and one row with a partner ID which would return an error during the conversion to the partner name.
Change-Id: Iad977d72df0ce95a0c5ca80a065c4276ec1f2354
The main motivation is to wrap the bucket DB and metainfo DB, so we
could check if a bucket is empty before applying geofencing config.
Change-Id: I8bac21555e01d51a663fb557bc1acfc8106bc2e1
To allow for changing limits for new users, while leaving existing users limits as they are, we must store the project limits for each user. We currently store the limit for the number of projects a user can create in the user DB table. This change would also store the project bandwidth and storage limits in the same table.
Change-Id: If8d79b39de020b969f3445ef2fcc370e51d706c6
Alter satellites DB nodes table to add `disqualification_reason` int column
which contains disqualification type enum of why node has been disqualified.
Change-Id: Ia514557018ca27e1984216dc5004346d59869d16
We had a bug in the stray nodes chore where nodes who had not been seen
in several months were not being DQd. We figured out that this was
happening because we were using two queries: The first to grab
nodes where last_contact_success < some cutoff, the second to DQ them
unless last_contact_success == '0001-01-01 00:00:00+00'. The problem
is that if all of the nodes returned from the first query had
last_contact_success of '0001-01-01 00:00:00+00', we would pass them to
the second query which would not DQ them. This would result in the stray
nodes DQ loop ending since we found a number of nodes to DQ less than the
limit.
The fix: add the "WHERE last_contact_success != '0001-01-01
00:00:00+00'::timestamptz" to the selection query.
Change-Id: I4e60de90b68d8745d641b4467c2b23e0e56f7dff
Even though we want to start charging segment fee instead of object fee,
it's hard for users to understand what a segment is. This PR adds the
object count back in the UI alongside with segment count to help address
the issue.
Change-Id: I92eb42c769d350eba68a72443deffec5c278359c
table and drop not null constraint on objects column
Since, we want to move from charging our customers by object count to
segment count, this PR prepares the database to be able to record segments count
instead of objects count for satellite's billing system
Change-Id: Ie91ef354e78d24a268bc1cdc4327c182f733321e
listPendingTransitionShim is a temporary transition shim intended to
make existing API processes keep working when a future DB schema change
is executed. For more explanation, see the message on commit c053bdbd70.
However, the shim has a small bug: it is missing the ORDER BY clause
that appears in the original ListPending method. This transition shim
code won't ever run until we make the DB schema change, so this bug
hasn't hurt anything yet; it's just important that we fix it before the
DB schema change happens.
Change-Id: I5953651583ee236500c2c07141dfc9d690a95118
This update is to set up users being able to register with a promo code added to their account in place of the free tier coupon.
Change-Id: I7badf87937b12664f145520b6dcc4b26fe750407
We don't need column uses_segment_transfer_queue in graceful_exit_progress
as now all exiting nodes are using graceful_exit_segment_transfer_queue and
table graceful_exit_transfer_queue has been dropped.
Change-Id: I4b7c087433f04138cf09bcf8ad3d8de2c185502a
Multipart upload limits added. Last part has no size limit.
Max number of parts: 10000, min part size: 5 MiB
Change-Id: Ic2262ce25f989b34d92f662bde720d4c4d0dc93d
Union query for both reputable and new nodes didn't properly work. The
top level query is required to have an `AS OF SYSTEM TIME` statement as
well.
Change-Id: I8ee6dd5b700c2b1ed2aa562962bfa72be7eec30a
Uplink needs only part of columns we are reading from DB.
To improve performance we should read only those that are
realy needed.
Change-Id: Ib39259318169c46afe5fa4c6ce2184da82e960c8
We don't use this column for anything. If you want to know if a node is
contained, you can check the pending_audits table.
Change-Id: I5671722a5fc6e1749d3a49e187a56556000ff941
We don't use this column for anything. If you want to know if a node is
contained, you can check the pending_audits table.
Change-Id: I8da1d8e01a2dcaff63c5067a7927b5451424ad04
Removes database tables and functionality related to our custom
coupon implementation because it has been superseded by the Stripe
coupon and promo code system. Requires implementations of the
payments Invoices interface to return coupon usages along with
invoices.
Change-Id: Iac52d2ff64afca8cc4dbb2d1f20e6ad4b39ddfde
Cockroach doesn't like concurrent database creation, add a limiter to
avoid overloading the database.
Also limit the cockroach testing to the last 10 migrations.
Change-Id: Ie73c516ac2d362b251f605049e51eb25888432bd
Populate the egress_dead column for taking into account allocated bandwidth that can be removed because orders have been sent by the storage nodes. The bandwidth not used in these orders can be allocated again.
Change-Id: I78c333a03945cd7330aec052edd3562ec671118e
Drop table graceful_exit_transfer_queue which is not used anymore (replaced by graceful_exit_segment_transfer_queue).
Change-Id: Ie254fe9a54fb0784e350a439ce7a9bc99a3a58b5
Migration tests are very heavy on database schema changes, which may
cause delays and retries. Separate out the migration tests and ensure
that they do not run concurrently on the same database.
Change-Id: I35b17525f18fd923546ce1fcc12d805c95073b6b
Why: big.Float is not an ideal type for dealing with monetary amounts,
because no matter how high the precision, some non-integer decimal
values can not be represented exactly in base-2 floating point. Also,
storing gob-encoded big.Float values in the database makes it very hard
to use those values in meaningful queries, making it difficult to do
any sort of analysis on billing.
Now that we have amounts represented using monetary.Amount, we can
simply store them in the database using integers (as given by the
.BaseUnits() method on monetary.Amount).
We should move toward storing the currency along with any monetary
amount, wherever we are storing amounts, because satellites might want
to deal with currencies other than STORJ and USD. Even better, it
becomes much clearer what currency each monetary value is _supposed_ to
be in (I had to dig through code to find that out for our current
monetary columns).
Deployment
----------
Getting rid of the big.Float columns will take multiple deployment
steps. There does not seem to be any way to make the change in a way
that lets existing queries continue to work on CockroachDB (it could be
done with rules and triggers and a stored procedure that knows how to
gob-decode big.Float objects, but CockroachDB doesn't have rules _or_
triggers _or_ stored procedures). Instead, in this first step, we make
no changes to the database schema, but add code that knows how to deal
with the planned changes to the schema when they are made in a future
"step 2" deployment. All functions that deal with the
coinbase_transactions table have been taught to recognize the "undefined
column" error, and when it is seen, to call a separate "transition shim"
function to accomplish the task. Once all the services are running this
code, and the step 2 deployment makes breaking changes to the schema,
any services that are still running and connected to the database will
keep working correctly because of the fallback code included here. The
step 2 deployment can be made without these transition shims included,
because it will apply the database schema changes before any of its code
runs.
Step 1:
No schema changes; just include code that recognizes the
"undefined column" error when dealing with the
coinbase_transactions or stripecoinpayments_tx_conversion_rates
tables, and if found, assumes that the column changes from Step
2 have already been made.
Step 2:
In coinbase_transactions:
* change the names of the 'amount' and 'received' columns to
'amount_gob' and 'received_gob' respectively
* add new 'amount_numeric' and 'received_numeric' columns with
INT8 type.
In stripecoinpayments_tx_conversion_rates:
* change the name of the 'rate' column to 'rate_gob'
* add new 'rate_numeric' column with NUMERIC(8, 8) type
Code reading from either of these tables must query both the X_gob
and X_numeric columns. If X_numeric is not null, its value should
be used; otherwise, the gob-encoded big.Float in X_gob should be
used. A chore might be included in this step that transitions values
from X_gob to X_numeric a few rows at a time.
Step 3:
Once all prod satellites have no values left in the _gob columns, we
can drop those columns and add NOT NULL constraints to the _numeric
columns.
Change-Id: Id6db304b404e6fde44f5a8c23cdaeeaaa2324f20
Why: big.Float is not an ideal type for dealing with monetary amounts,
because no matter how high the precision, some non-integer decimal
values can not be represented exactly in base-2 floating point. Also,
storing gob-encoded big.Float values in the database makes it very hard
to use those values in meaningful queries, making it difficult to do
any sort of analysis on billing.
For better accuracy, then, we can just represent monetary values as
integers (in whatever base units are appropriate for the currency). For
example, STORJ tokens or Bitcoins can not be split into pieces smaller
than 10^-8, so we can store amounts of STORJ or BTC with precision
simply by moving the decimal point 8 digits to the right. For USD values
(assuming we don't want to deal with fractional cents), we can move the
decimal point 2 digits to the right.
To make it easier and less error-prone to deal with the math involved, I
introduce here a new type, monetary.Amount, instances of which have an
associated value _and_ a currency.
Change-Id: I03395d52f0e2473cf301361f6033722b54640265
This PR utilize the new burst limit column from projects table to allow
control on the limit for request per seconds and token bucket size
When no burst limit is explicitly set, rate limit is applied to both so
we don't limit how quickly request can be made in a second.
Change-Id: I883235c60c5d6416aeadd1c80ed2ebd193aa4d9f
In order to limit the amount of overall requests a user can issue in a
time span, we need to have the ability to define such limit separate
from per second request rate.
This PR adds a new column on the projects table to store the burst limit
per project.
Change-Id: I7efc2ccdda4579252347cc6878cf846b85146dc7
Remove the logic associated to the old transfer queue.
A new transfer queue (gracefulexit_segment_transfer_queue) has been created for migration to segmentLoop.
Transfers from the old queue were not moved to the new queue.
Instead, it was still used for nodes which have initiated graceful exit before migration.
There is no such node left, so we can remove all this logic.
In a next step, we will drop the table.
Change-Id: I3aa9bc29b76065d34b57a73f6e9c9d0297587f54
