Repository files navigation

Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

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Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

Structor

Overview

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database, that will make users easy to use database without database knowledge. We use json to define table's columns data type

Getting Started

Structor implements GRPC API for services call. gRPC is useful for low-latency, high performance scenarios and has language integration using the proto clients. If you want to use Structor for your project, refer GRPC for more information about GRPC. Structor can be started up as a service or a sidecar with Kubernetes pod.

Installation

git clone https://github.com/quanxiang-cloud/structor.git
cd structor
CGO_ENABLED=1 GOARCH=amd64 GOOS=Linux go build -tags mysql -o structor cmd/structor/main.go

Notice:

The Build example base on Linux-like OS, if you use other OS, please change the GOOS and GOARCH for your case.

  • GOOS: darwin, linux, windows, freebsd etc.
  • GOARCH: amd64, arm, i386, p360 etc.

How to run

For MySQL connection, command example as below:

./structor --mysql-host=127.0.0.1:3306 --mysql-database=example --mysql-user=root --mysql-password=***** --mysql-log=false --mysql-log-level=0 --mysql-maxIdelConns=10 --mysql-maxOpenConns=20 --mysql-engine=innoDB --my-charset=utf8 --mysql-collate=utf8_unicode_ci

For MongoDB connection, command example as below:

./structor --mongo-host=127.0.0.1:27017 --mongo-direct=true --mongo-auth-mechanism=SCRAM-SHA-1 --mongo-auth-source=admin --mongo-password=***** --mongo-password-set=false --mongo-database=example

How to use

Structor supports Data Definition Statements with DDL and Data Manipulation Statements with DSL. We refer ElasticSearch Query DSL to define our DSL, we just support a little of ElasticSearch queries.

Below code will be use in all code example, just replace "// Add code here" in your case.

package main
import (
"context""encoding/json""fmt"
client "github.com/quanxiang-cloud/structor/api/proto""google.golang.org/grpc""google.golang.org/protobuf/types/known/anypb""google.golang.org/protobuf/types/known/structpb"
)
funcmain() {
dsl, ddl, err:=getConn("localhost:8080")
iferr!=nil {
panic(err)
}
// Add code here_, _=dsl, ddl
}
funcgetConn(addrstring) (client.DSLServiceClient, client.DDLServiceClient, error) {
conn, err:=grpc.Dial(addr, grpc.WithInsecure())
iferr!=nil {
returnnil, nil, err
}
dslConn:=client.NewDSLServiceClient(conn)
ddlConn:=client.NewDDLServiceClient(conn)
returndslConn, ddlConn, nil
}
funcanyToRaw(any*anypb.Any) (json.RawMessage, error) {
out:=structpb.NewNullValue()
err:=any.UnmarshalTo(out)
iferr!=nil {
returnnil, err
}
body, err:=out.MarshalJSON()
iferr!=nil {
returnnil, err
}
returnbody, nil
}
funcrawToAny(raw []byte) (*anypb.Any, error) {
in:=structpb.NewNullValue()
err:=in.UnmarshalJSON(raw)
iferr!=nil {
returnnil, err
}
any:=&anypb.Any{}
err=any.MarshalFrom(in)
returnany, err
}
Data Definition Statements

Create Table:

_, err:=ddl.Create(context.Background(), &client.CreateReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "bool",
Type: "bool",
Comment: "bool",
},
},
})
iferr!=nil {
panic(err)
}

Add column definition:

_, err:=ddl.Add(context.Background(), &client.AddReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "object",
Type: "object",
},
{
Title: "date",
Type: "datetime",
},
{
Title: "float",
Max: 321321,
Type: "float",
},
{
Title: "varchar",
Max: 200,
Type: "string",
},
{
Title: "text",
Max: 500,
Type: "string",
},
},
})
iferr!=nil {
panic(err)
}

Update table:

_, err:=ddl.Modify(context.Background(), &client.ModifyReq{
TableName: "idtest",
Fields: []*client.Field{
{
Title: "float",
Max: 321321,
Type: "int",
},
{
Title: "varchar",
Max: 200,
Type: "int",
},
{
Title: "text",
Max: 500,
Type: "int",
},
},
})
iferr!=nil {
panic(err)
}
Data Manipulation Statements

Query match records :

queryBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "st" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.FindOne(context.Background(), &client.FindOneReq{
TableName: "user",
Dsl: queryBody,
})
iferr!=nil {
panic(err)
}
body, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(body))

Query records:

any, err:=rawToAny([]byte(`	{ "query": { "bool": { "should": [ { "term": { "id": "129" } }, { "bool": { "should": [ { "term": { "name": "test2" } } ] } } ] } }	}	`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Find(context.Background(), &client.FindReq{
TableName: "user",
Dsl: any,
Sort: []string{"id", "-name"},
})
iferr!=nil {
panic(err)
}
data, err:=anyToRaw(resp.GetData())
iferr!=nil {
panic(err)
}
fmt.Println(string(data))

Delete records:

delBody, err:=rawToAny([]byte(`{ "query": { "range": { "id": { "gt": 131, "lt": 135 } }	 }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Delete(context.Background(), &client.DeleteReq{
TableName: "user",
Dsl: delBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Count records:

cuBody, err:=rawToAny([]byte(`{ "query": { "match": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Count(context.Background(), &client.CountReq{
TableName: "user",
Dsl: cuBody,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Data)

Insert record:

entity, err:=rawToAny([]byte(`{ "id": "136"	}`))
iferr!=nil {
panic(err)
}
entity2, err:=rawToAny([]byte(`{ "id": "137"	}`))
iferr!=nil {
panic(err)
}
varentities []*anypb.Anyentities=append(entities, entity, entity2)
_, err=dsl.Insert(context.Background(), &client.InsertReq{
TableName: "new_user",
Entities: entities,
})
iferr!=nil {
panic(err)
}

Update records

updateBody, err:=rawToAny([]byte(`{ "query": { "term": { "name": "test" } }	}`))
iferr!=nil {
panic(err)
}
entity, err:=rawToAny([]byte(`{ "name": "test909090"	}`))
iferr!=nil {
panic(err)
}
resp, err:=dsl.Update(context.Background(), &client.UpdateReq{
TableName: "user",
Dsl: updateBody,
Entity: entity,
})
iferr!=nil {
panic(err)
}
fmt.Println(resp.Count)

Roadmap

Folowing DataBases are supported.

DatabaseCRUDindexprimary keyforeign keyversion
MySQL5.7 or later
MongoDB4.0 or later

Plan to support:

DatabaseCRUDindexprimary keyforeign keyversion
Oracle
PostgreSQL
TiDB
More

Contributing to Structor

Welcome!!!!

About

The structor project is component of QuanXiang, it's a abstract layer between bussiness layer and database.

Resources

Stars

2 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages