
這是刪除后,過了一兩天就增長到了4萬多條數據了。
查看了RedisTokenStore 發現token 會不斷地往list塞值。
public void storeAccessToken(OAuth2AccessToken token, OAuth2Authentication authentication) {
byte[] serializedAccessToken = serialize(token);
byte[] serializedAuth = serialize(authentication);
byte[] accessKey = serializeKey(ACCESS + token.getValue());
byte[] authKey = serializeKey(AUTH + token.getValue());
byte[] authToAccessKey = serializeKey(AUTH_TO_ACCESS + authenticationKeyGenerator.extractKey(authentication));
byte[] approvalKey = serializeKey(UNAME_TO_ACCESS + getApprovalKey(authentication));
byte[] clientId = serializeKey(CLIENT_ID_TO_ACCESS + authentication.getOAuth2Request().getClientId());
RedisConnection conn = getConnection();
try {
conn.openPipeline();
if (springDataRedis_2_0) {
try {
this.redisConnectionSet_2_0.invoke(conn, accessKey, serializedAccessToken);
this.redisConnectionSet_2_0.invoke(conn, authKey, serializedAuth);
this.redisConnectionSet_2_0.invoke(conn, authToAccessKey, serializedAccessToken);
} catch (Exception ex) {
throw new RuntimeException(ex);
}
} else {
conn.set(accessKey, serializedAccessToken);
conn.set(authKey, serializedAuth);
conn.set(authToAccessKey, serializedAccessToken);
}
if (!authentication.isClientOnly()) {
conn.rPush(approvalKey, serializedAccessToken);
}
conn.rPush(clientId, serializedAccessToken);
if (token.getExpiration() != null) {
int seconds = token.getExpiresIn();
conn.expire(accessKey, seconds);
conn.expire(authKey, seconds);
conn.expire(authToAccessKey, seconds);
conn.expire(clientId, seconds);
conn.expire(approvalKey, seconds);
}
OAuth2RefreshToken refreshToken = token.getRefreshToken();
if (refreshToken != null && refreshToken.getValue() != null) {
byte[] refresh = serialize(token.getRefreshToken().getValue());
byte[] auth = serialize(token.getValue());
byte[] refreshToAccessKey = serializeKey(REFRESH_TO_ACCESS + token.getRefreshToken().getValue());
byte[] accessToRefreshKey = serializeKey(ACCESS_TO_REFRESH + token.getValue());
if (springDataRedis_2_0) {
try {
this.redisConnectionSet_2_0.invoke(conn, refreshToAccessKey, auth);
this.redisConnectionSet_2_0.invoke(conn, accessToRefreshKey, refresh);
} catch (Exception ex) {
throw new RuntimeException(ex);
}
} else {
conn.set(refreshToAccessKey, auth);
conn.set(accessToRefreshKey, refresh);
}
if (refreshToken instanceof ExpiringOAuth2RefreshToken) {
ExpiringOAuth2RefreshToken expiringRefreshToken = (ExpiringOAuth2RefreshToken) refreshToken;
Date expiration = expiringRefreshToken.getExpiration();
if (expiration != null) {
int seconds = Long.valueOf((expiration.getTime() - System.currentTimeMillis()) / 1000L)
.intValue();
conn.expire(refreshToAccessKey, seconds);
conn.expire(accessToRefreshKey, seconds);
}
}
}
conn.closePipeline();
} finally {
conn.close();
}
}
默認的實現方法 DefaultTokenServices,里面就寫了如果失效了就會刪除token,反之則不斷塞值進去
public OAuth2AccessToken createAccessToken(OAuth2Authentication authentication) throws AuthenticationException {
OAuth2AccessToken existingAccessToken = tokenStore.getAccessToken(authentication);
OAuth2RefreshToken refreshToken = null;
if (existingAccessToken != null) {
if (existingAccessToken.isExpired()) {
if (existingAccessToken.getRefreshToken() != null) {
refreshToken = existingAccessToken.getRefreshToken();
// The token store could remove the refresh token when the
// access token is removed, but we want to
// be sure...
tokenStore.removeRefreshToken(refreshToken);
}
tokenStore.removeAccessToken(existingAccessToken);
}
else {
// Re-store the access token in case the authentication has changed
tokenStore.storeAccessToken(existingAccessToken, authentication);
return existingAccessToken;
}
}
// Only create a new refresh token if there wasn't an existing one
// associated with an expired access token.
// Clients might be holding existing refresh tokens, so we re-use it in
// the case that the old access token
// expired.
if (refreshToken == null) {
refreshToken = createRefreshToken(authentication);
}
// But the refresh token itself might need to be re-issued if it has
// expired.
else if (refreshToken instanceof ExpiringOAuth2RefreshToken) {
ExpiringOAuth2RefreshToken expiring = (ExpiringOAuth2RefreshToken) refreshToken;
if (System.currentTimeMillis() > expiring.getExpiration().getTime()) {
refreshToken = createRefreshToken(authentication);
}
}
OAuth2AccessToken accessToken = createAccessToken(authentication, refreshToken);
tokenStore.storeAccessToken(accessToken, authentication);
// In case it was modified
refreshToken = accessToken.getRefreshToken();
if (refreshToken != null) {
tokenStore.storeRefreshToken(refreshToken, authentication);
}
return accessToken;
}
了解到在使用redis存儲token時,client_id_to_access這個key存儲了每個clientId申請的OAuth2AccessToken的集合,方便用來審計和應急處理跟clientId相關的token
查看RedisTokenStore代碼,這是個set集合,每次生成token時會進行一次追加,導致數據急劇膨脹,redis空間不足,線上生產曾經遇到過最大達1.5G,且該key每次生成時會重置過期時間,導致永不刪除。
解決方案:
1、直接刪除該key,不影響token生成及checkToken;
2、魔改RedisTokenStore實現,調整數據結構存儲;
3、過期時間設置不要過長,在登錄最大間隔休息時間之內,這樣不會因為重置過期時間一直導致數據不刪除
